On the crystal chemistry of inorganic nitrides: crystal-chemical parameters, bonding behavior, and opportunities in the exploration of their compositional space

Olivier C Gagné

doi:10.1039/d0sc06028c

. 2021 Feb 15;12(12):4599–4622. doi: 10.1039/d0sc06028c

On the crystal chemistry of inorganic nitrides: crystal-chemical parameters, bonding behavior, and opportunities in the exploration of their compositional space^†

Olivier C Gagné ^1,^✉

PMCID: PMC8179496 PMID: 34163725

Abstract

The scarcity of nitrogen in Earth's crust, combined with challenging synthesis, have made inorganic nitrides a relatively unexplored class of compounds compared to their naturally abundant oxide counterparts. To facilitate exploration of their compositional space via a priori modeling, and to help a posteriori structure verification not limited to inferring the oxidation state of redox-active cations, we derive a suite of bond-valence parameters and Lewis acid strength values for 76 cations observed bonding to N³⁻, and further outline a baseline statistical knowledge of bond lengths for these compounds. Examination of structural and electronic effects responsible for the functional properties and anomalous bonding behavior of inorganic nitrides shows that many mechanisms of bond-length variation ubiquitous to oxide and oxysalt compounds (e.g., lone-pair stereoactivity, the Jahn–Teller and pseudo Jahn–Teller effects) are similarly pervasive in inorganic nitrides, and are occasionally observed to result in greater distortion magnitude than their oxide counterparts. We identify promising functional units for exploring uncharted chemical spaces of inorganic nitrides, e.g. multiple-bond metal centers with promise regarding the development of a post-Haber–Bosch process proceeding at milder reaction conditions, and promote an atomistic understanding of chemical bonding in nitrides relevant to such pursuits as the development of a model of ion substitution in solids, a problem of great relevance to semiconductor doping whose solution would fast-track the development of compound solar cells, battery materials, electronics, and more.

Navigating high-return chemical spaces in inorganic nitrides via identification of coordination units bearing functional properties.

Introduction

The predominance and variety of oxide and oxysalt compounds as minerals in Earth's crust means that they were inevitably among the first materials to be methodically characterized and examined for interesting properties, occupying scientists for decades in trying to decipher, reproduce, and enhance their behavior. Conversely, inorganic nitrides, here defined as ionic/covalent compounds with N³⁻ as the main anion, are a relatively unexplored class of compounds owing to (1) the scarcity of nitrogen minerals in Earth's crust due to various biological and geological transport processes drawing nitrogen away from the crust¹ (not limited to their reaction with water to form hydroxides and ammonia²), and (2) challenging synthesis.³

Systematic investigation of nitrides began in the late 1930s with the work of Juza and collaborators who mainly focused on lithium compounds for their relative ease of preparation.^4–6 Rapid progression in the synthesis and characterization of nitride compounds followed the introduction of several new methods of preparation in the 1980s. This sudden burst of interest eventually led to the successful synthesis of many compounds suited to single-crystal X-ray diffraction, resulting in collection of significantly more accurate bond lengths compared to those determined via powder diffraction.⁷ Several reviews on the descriptive crystal chemistry of inorganic nitrides followed^2,8–14 (more recent reviews include those of Höhn & Niewa for non-main group elements,¹⁵ and Tareen et al. for mixed ternary transition metal nitrides¹⁶), and the chemistry of nitrides was soon likened to that of silicates;¹⁰ the term nitridometalate was introduced to describe compounds containing covalent complex anions [M_xN_y]^z− (in relation to oxometallates, commonly called oxyanions in the Earth sciences),^11,12 reflecting the richness of chemistries to come. New classes of inorganic nitrides that were initially considered to be scientific curiosities have since been described as functionally diverse groups of materials, not limited to the nitridosilicates,^8,17 oxynitrididosilicates¹⁸ and perovskite-related oxynitrides.^19,20

In parallel to developments occurring in the bulk, the past decades saw binary III–V nitrides gain notoriety as semiconductors due to a trove of desirable properties largely associated with their wide, direct, and highly tunable band gaps. These properties include high temperature and power operation, high breakdown voltages, high thermal conductivity, high phonon frequency, low noise generation, and resilience to both large electric fields and hostile thermal/chemical environments, thus making these compounds attractive for a wide range of electronic and optoelectronic applications of commercial and industrial interest.^21–26 More recently, ternary II–IV-N₂ nitrides were introduced,^27–29 thus providing additional compositional (and structural) flexibility for fine-tuning these properties.

Nitrides sensu lato provide a great opportunity for materials discovery owing to their unique electronic and bonding characteristics. Large-scale computational and synthetic efforts are underway to explore their compositional space. These compounds are being investigated for properties arising from both their bulk and trace/minor element composition spanning energy conversion and storage,³⁰ solar-driven CO₂ reduction (e.g. in Z-scheme-inspired photoelectrochemical cells),³¹ in quantum information processing,³² as alternatives to metals, metal oxides and metal sulfides in heterogeneous catalysis,³³ as piezoelectric^34,35 and photoluminescent³⁶ materials, electrocatalysts,^37,38 electrochemical sensors,³⁹ photocatalysts,^40,41 photovoltaics,^42–44 photodetectors,^45,46 light-emitting diodes,^47,48 thermoelectrics,^34,49 superconductors,^50–52 as hard coating⁵³ and ultrahard materials⁵⁴ (in their pernitride form), etc., demonstrating the importance of an adequate understanding of their chemical bonding – a feat typically achieved in the bulk, and applied locally in studying point defects. With a relatively slow start compared to oxides and oxysalts, it is no surprise that some of the most exciting properties of these materials are currently being realized, and that much promise lies ahead in the exploratory synthesis of functional inorganic nitrides.

The present work is premised on a distillation of crystallographic knowledge for inorganic nitrides, with the goal of facilitating their characterization and design. Such pursuits have been eased by the bond-valence model for many classes of inorganic compounds, which is for example used to screen compounds in pymatgen⁵⁵ and to infer the oxidation state of redox-active ions⁵⁶ under the umbrella of the Materials Project.⁵⁷ Most recently, the bond-topological nature of the bond-valence model was featured in showing how bond-length variation (thus polyhedral distortion) is an inherent, predictable and quantifiable by-product of chemical bonding in inorganic solids⁵⁸ (polyhedral distortion having crucial implications with regard to the functional properties of various types of materials not limited to ferroelectricity,^59,60 piezoelectricity,^59,61 flexoelectricity,⁶² second-order nonlinear optical behavior,^59,63 negative thermal expansion,⁶⁴ and photoluminescence^65,66). However, the parameterization of the bond-valence model is largely incomplete for cations bonded to N³⁻, and the quality of published bond-valence parameters is not established. In this work, we use the method of Gagné & Hawthorne⁶⁷ to derive new bond-valence parameters for nitrides, provide a scale of Lewis acidity for nitrides, and further outline a baseline statistical knowledge of bond lengths for cations bonded to N³⁻; these data serve as a contribution to our gradual efforts of systematizing chemical bonding behavior in solids, toward modernizing Shannon's set of ionic radii⁶⁸ (see ref. 58 and 69–72 for bond-length statistics of cations bonded to O²⁻; in prep for cations bonded to S²⁻, Se²⁻ and/or Te²⁻), and are a useful aid to structure verification and the design of physically realistic crystal structures. In the second part of this work, we explore new venues for the exploratory synthesis of functional inorganic nitrides, using the systematic nature of this dataset to identify plausible ion configurations likely to lead to new and promising functional units to be transposed across various chemical spaces. Considering that the pairwise bonding data given herein are independent of their chemical environment, the type of analysis advanced in this work may be extended to other fields whose functional units may differ from those covered in this article, e.g. coordination chemistry, mineralogy, biochemistry, etc.

Dataset

We used the Inorganic Crystal Structure Database (ICSD) to extract bond-length data for elements bonded to N³⁻ as a function of oxidation state and coordination number. Data collection criteria are those outlined by Gagné & Hawthorne:⁶⁹ (1) publication date ≥ 1975; (2) R₁ ≤ 0.06; (3) the site of interest is fully occupied by the cation; (4) all bonds involve ions at fully occupied sites; (5) the cation and anion sites of interest show no positional disorder; (6) crystallographic data were measured at ambient conditions; (7) no data from powder, electron or synchrotron diffraction were included; (8) for H, only neutron-diffraction data were collected. The procedure used to determine the coordination polyhedron in ambiguous cases is also that of Gagné & Hawthorne.⁶⁹

Following data collection, we examined structures with questionable bond-lengths and/or mean bond-lengths for various problems (e.g. positional/substitutional disorder, inconsistent (an)isotropic displacement parameters, high standard deviations on bond lengths, etc.) and discarded data which could not be confidently confirmed.

Whereby bond-valence parameters may be derived for mixed-anion coordination polyhedra (see ESI†), we also collected bonding data for cations bonded to both N³⁻ and O²⁻; the final dataset used to derive the bond-valence parameters given in Table 1 consists of 6770 bond lengths hand-picked from 1436 coordination polyhedra from 720 crystal-structure refinements, covering 76 cations bonded to N³⁻ (and possibly also O²⁻). The dataset that omits mixed-anion data accounts for 4048 bond lengths taken from 875 cation coordination polyhedra; these data and their basic statistics are reported in Table 2 and will be discussed further below.

Lewis acid strengths (S_a) and bond-valence parameters (R_o, B) for cations bonded to N³⁻.

Ion	No. of coordination polyhedra	Average observed coordination number^b	S _a (v.u.)	Std. dev. on S_a	R _o (Å)	B (Å)	RMSD (v.u.)		Method of derivation (1-CN ions)^c
^aH⁺	30				0.935	0.572	0.032
Li⁺	83	3.63 (6)	0.275 (4)	0.070	1.713	0.312	0.111
Be²⁺	2	3.5 (2)	0.57 (3)	0.08	1.537	0.301	0
B³⁺	51	2.43 (6)	1.24 (3)	0.33	1.467	0.321	0.079
C⁴⁺	270	2.76 (2)	1.45 (1)	0.22	1.401	0.261	0.094
N⁵⁺	6	2	2.5		1.51	0.345	0.027
Na⁺	74	5.29 (6)	0.189 (2)	0.027	1.62	0.546	0.098
Mg²⁺	7	4	0.5		1.83	0.37	0.252
Al³⁺	11	4.20 (9)	0.71 (2)	0.10	1.772	0.413	0.187
Si⁴⁺	58	4.02 (1)	0.995 (2)	0.036	1.742	0.422	0.175		3
P⁵⁺	80	4	1.25		1.72	0.414	0.307
S⁴⁺	10	2	2		1.781	0.328	0.081		2
S⁶⁺	46				1.731	0.366	0.075
K⁺	67	6.46 (9)	0.155 (2)	0.028	1.892	0.543	0.122
Ca²⁺	43	5.13 (7)	0.390 (5)	0.074	2.114	0.435	0.214
V²⁺	1	6	1/3		1.779	0.405	—		1
V³⁺	2	4.5 (5)	0.67 (7)	0.22	1.815	0.33	0
V⁵⁺	1	4	1.25		1.93	0.399	—		2
Cr²⁺	1	6	1/3		1.816	0.372	—		1
Cr³⁺	26	5.8 (1)	0.522 (9)	0.075	1.796	0.403	0.061
Cr⁵⁺	1	4	1.25		1.844	0.399	—		2
Cr⁶⁺	2	4	1.5		1.924	0.399	0.075		2
Mn²⁺	25	5.3 (1)	0.377 (9)	0.064	1.874	0.328	0.141
Mn³⁺	3	3	1		1.759	0.399	0.124		2
Mn⁵⁺	2	4	1.25		1.906	0.399	0.063		2
Fe²⁺	15	5.2 (2)	0.39 (1)	0.10	1.719	0.427	0.084
Fe³⁺	3	4.3 (3)	0.69 (6)	0.20	1.74	0.687	0.059
Co⁺	1	2	0.5		1.472	0.399	—		2
Co²⁺	9	4.7 (2)	0.429 (1)	0.09	1.626	0.485	0.049
Co³⁺	66	6	0.5		1.686	0.399	0.062		2
Ni²⁺	19	4.6 (1)	0.44 (1)	0.09	1.611	0.457	0.054
Cu⁺	9	2.2 (1)	0.45 (3)	0.13	1.539	0.399	0.2		2
Cu²⁺	17	5.5 (2)	0.36 (1)	0.06	1.577	0.515	0.129
Zn²⁺	29	3.85 (7)	0.51 (1)	0.10	1.792	0.293	0.264
Ga³⁺	4	4.5 (2)	0.67 (3)	0.13	1.858	0.318	0.164
Ge⁴⁺	2				1.891	0.422	0.014		3
Se⁶⁺	2				1.945	0.422	0.067		3
Rb⁺	29	7.7 (1)	0.130 (2)	0.023	1.914	0.639	0.039
Sr²⁺	32	5.8 (2)	0.35 (1)	0.12	2.269	0.441	0.215
Y³⁺	5	6	0.5		2.114	0.399	0.055		2
Nb⁵⁺	12	4.3 (1)	1.15 (3)	0.20	2.052	0.404	0.057
Mo⁶⁺	13	4	1.5		1.97	0.265	0.129
Ru³⁺	8	6	0.5		1.816	0.399	0.02		2
Rh³⁺	5	6	0.5		1.795	0.399	0.023		2
Pd²⁺	5	4	0.5		1.767	0.399	0.033		2
Ag⁺	18	2.5 (1)	0.41 (2)	0.12	1.926	0.277	0.089
Cd²⁺	8	6	1/3		1.889	0.399	0.048		2
Sn²⁺	1	3	2/3		1.965	0.438	—		2
Sn⁴⁺	4	6	2/3		2	0.438	0.003		2
Cs⁺	24	9.5 (1)	0.106 (1)	0.021	1.979	0.67	0.077
Ba²⁺	53	6.68 (9)	0.299 (4)	0.067	2.432	0.405	0.171
La³⁺	21	8.00 (0.08)	0.375 (4)	0.037	2.177	0.52	0.192
Ce³⁺	11	8.40 (8)	0.357 (3)	0.021	2.162	0.469	0.157		2
Ce⁴⁺	1	6	2/3		2.237	0.469	—		2
Pr³⁺	3	7	3/7		2.129	0.469	0.183		2
Nd³⁺	8	6.7 (2)	0.45 (1)	0.06	2.051	0.555	0.256
Sm³⁺	7	7	3/7		2.042	0.469	0.119		2
Eu²⁺	5	8.4 (4)	0.24 (1)	0.07	1.952	0.587	0.089
Eu³⁺	3	6	0.5		2.238	0.275	0.279
Gd³⁺	2				2.064	0.38	0.017
Tb³⁺	3				2.042	0.415	0.019
Dy³⁺	1				1.978	0.469	—		2
Ho³⁺	2	6	0.5		2.097	0.391	0.25		1
Er³⁺	4	6	0.5		2.057	0.498	0.138
Yb³⁺	3	6.3 (1)	0.474 (8)	0.035	1.928	0.584	0.19
Lu³⁺	1	6	0.5		1.966	0.487	—		1
Hf⁴⁺	1	8	0.5		2.023	0.399	—		2
Ta⁵⁺	5	4	1.25		2.047	0.399	0.038		2
W⁶⁺	27	4	1.5		2.026	0.399	0.089		2
Pt²⁺	15	4	0.5		1.817	0.351	0.063
Au⁺	2	2	0.5		1.743	0.399	0.187		2
Tl⁺	8	6.88 (8)	0.145 (2)	0.013	2.114	0.493	0.03
Pb²⁺	2	6.0 (3)	0.33 (2)	0.06	2.058	0.529	0
Bi³⁺	3				2.066	0.438	0.018		2
U⁴⁺	1	8	0.5		2.129	0.422	—		3
U⁶⁺	2				2.035	0.422	0.053		3
Mean RMSD n ≥ 10								0.122
Mean RMSD weighted by number of CP								0.120

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Neutron-diffraction data.

Data from mixed-anion coordination polyhedra are omitted in the calculation of AOCN and S_a; more detail on these data are given in Table 2.

1: R_o fixed to predicted value, 2: B fixed to family average, 3: B fixed to 0.399 Å.

Bond-length statistics for cations bonded to N³⁻.

Ion	Coordination number	Number of coordination polyhedra^a	Number of bonds	Mean bond-length (Å)	Standard deviation (Å)	Range (Å)	Maximum bond-length (Å)	Minimum bond-length (Å)
H⁺	2	0 (29)	0 (58)
H⁺	3	0 (1)	0 (3)
Li⁺	2	11	22	1.947	0.025	0.078	1.990	1.912
	3	12	36	2.121	0.029	0.125	2.181	2.056
	4	43 (10)	172 (40)	2.148	0.103	0.690	2.613	1.923
	5	2 (2)	10 (10)	2.240	0.185	0.681	2.722	2.041
	6	3	18	2.255	0.039	0.094	2.302	2.208
Be²⁺	3	1	3	1.660	0.026	0.059	1.683	1.624
Be²⁺	4	1	4	1.746	0.014	0.038	1.770	1.732
B³⁺	2	31	62	1.337	0.017	0.096	1.383	1.287
	3	12 (3)	36 (9)	1.473	0.029	0.143	1.545	1.402
	4	4 (1)	16 (4)	1.557	0.019	0.052	1.570	1.518
C⁴⁺	2	33 (4)	66 (8)	1.226	0.061	0.188	1.325	1.137
C⁴⁺	3	103 (130)	309 (390)	1.326	0.017	0.119	1.395	1.276
N⁵⁺	2	2	4	1.194	0.000	0.000	1.194	1.194
N⁵⁺	3	0 (4)	0 (12)
Na⁺	4	6 (5)	24 (20)	2.417	0.052	0.200	2.538	2.338
	5	12 (7)	60 (35)	2.594	0.196	0.783	3.116	2.333
	6	16 (26)	96 (156)	2.562	0.113	0.640	3.022	2.382
	7	0 (2)	0 (14)
Mg²⁺	4	4	16	2.121	0.049	0.162	2.198	2.036
Mg²⁺	6	0 (3)	0 (18)
Al³⁺	4	9	36	1.898	0.043	0.144	1.984	1.840
Al³⁺	6	1 (1)	6 (6)	2.044	0.006	0.015	2.052	2.037
Si⁴⁺	4	46 (11)	184 (44)	1.738	0.039	0.288	1.941	1.653
Si⁴⁺	5	1	5	1.943	0.259	0.588	2.287	1.699
P⁵⁺	4	28 (52)	112 (208)	1.624	0.030	0.151	1.711	1.560
S⁴⁺	2	9 (1)	18 (2)	1.552	0.020	0.069	1.596	1.527
S⁶⁺	4	0 (46)	0 (184)
K⁺	4	1	4	2.688	0.025	0.061	2.709	2.648
	5	1	5	2.907	0.165	0.424	3.134	2.710
	6	19 (6)	114 (36)	2.894	0.112	0.509	3.210	2.701
	7	0 (12)	0 (84)
	8	6 (15)	48 (120)	3.115	0.236	0.898	3.703	2.805
	9	0 (6)	0 (54)
	10	1	10	3.083	0.305	0.844	3.638	2.794
Ca²⁺	4	9	36	2.491	0.031	0.115	2.526	2.411
	5	16 (1)	80 (5)	2.526	0.113	0.510	2.823	2.313
	6	11 (4)	66 (24)	2.563	0.107	0.616	2.965	2.349
	7	0 (1)	0 (7)
	9	1	9	2.770	0.072	0.155	2.823	2.668
V²⁺	6	1	6	2.224	0.000	0.000	2.224	2.224
V³⁺	3	1	3	1.815	0.007	0.017	1.825	1.808
V³⁺	6	1	6	2.044	0.005	0.012	2.051	2.039
V⁵⁺	4	1	4	1.842	0.016	0.038	1.851	1.813
Cr²⁺	6	1	6	2.224	0.000	0.000	2.224	2.224
Cr³⁺	3	1	3	1.798	0.046	0.097	1.863	1.766
Cr³⁺	6	11 (14)	66 (84)	2.078	0.025	0.193	2.158	1.965
Cr⁵⁺	4	1	4	1.755	0.002	0.004	1.757	1.753
Cr⁶⁺	4	2	8	1.763	0.013	0.031	1.780	1.749
Mn²⁺	4	3	12	2.109	0.032	0.095	2.166	2.071
	5	1 (1)	5 (5)	2.306	0.326	0.827	2.958	2.131
	6	6 (14)	36 (84)	2.241	0.044	0.247	2.417	2.170
Mn³⁺	3	3	9	1.760	0.025	0.059	1.798	1.739
Mn⁵⁺	4	2	8	1.818	0.007	0.015	1.825	1.810
Fe²⁺	3	3	9	1.899	0.026	0.080	1.941	1.861
	4	1	4	2.008	0.000	0.000	2.008	2.008
	6	9 (2)	54 (12)	2.196	0.032	0.128	2.274	2.146
Fe³⁺	3	1	3	1.730	0.000	0.000	1.730	1.730
	4	1	4	1.957	0.000	0.000	1.957	1.957
	6	1	6	2.207	0.000	0.000	2.207	2.207
Co⁺	2	1	2	1.749	0.000	0.000	1.749	1.749
Co²⁺	4	4	16	1.963	0.011	0.035	1.983	1.948
Co²⁺	6	2 (3)	12 (18)	2.181	0.005	0.010	2.186	2.176
Co³⁺	6	36 (30)	216 (180)	1.963	0.013	0.115	2.007	1.892
Ni²⁺	4	10	40	1.928	0.025	0.141	2.014	1.873
Ni²⁺	6	4 (5)	24 (30)	2.127	0.026	0.085	2.164	2.079
Cu⁺	2	8	16	1.875	0.022	0.084	1.931	1.847
Cu⁺	4	1	4	1.977	0.000	0.000	1.977	1.977
Cu²⁺	4	1 (1)	4 (4)	1.941	0.012	0.032	1.953	1.921
	5	0 (2)	0 (10)
	6	3 (10)	18 (60)	2.185	0.288	0.843	2.722	1.879
Zn²⁺	2	3	6	1.860	0.013	0.032	1.874	1.842
	4	23 (2)	92 (8)	1.984	0.038	0.180	2.086	1.906
	6	1	6	2.136	0.000	0.000	2.136	2.136
Ga³⁺	4	3	12	1.952	0.040	0.159	2.063	1.904
Ga³⁺	6	1	6	2.079	0.012	0.035	2.099	2.064
Ge⁴⁺	4	0 (2)	0 (8)
Se⁶⁺	4	0 (2)	0 (8)
Rb⁺	6	6	36	3.080	0.104	0.441	3.347	2.906
	7	1 (1)	7 (7)	3.085	0.099	0.315	3.191	2.876
	8	14 (3)	112 (24)	3.263	0.193	0.806	3.764	2.958
	9	0 (1)	0 (9)
	10	1	10	3.484	0.308	0.804	3.915	3.111
	11	0 (1)	0 (11)
	12	1	12	3.568	0.283	0.605	3.773	3.168
Sr²⁺	4	9	36	2.641	0.030	0.137	2.682	2.545
	5	6	30	2.691	0.122	0.460	2.940	2.480
	6	9 (1)	54 (6)	2.749	0.150	0.708	3.216	2.508
	7	1 (1)	7 (7)	2.916	0.229	0.601	3.221	2.620
	8	1 (1)	8 (8)	2.977	0.299	0.811	3.379	2.568
	10	2	20	2.999	0.248	0.810	3.380	2.570
	13	1	13	3.268	0.311	1.024	3.730	2.706
Y³⁺	6	5	30	2.394	0.050	0.174	2.478	2.304
Nb⁵⁺	4	10	40	1.963	0.024	0.110	2.026	1.916
Nb⁵⁺	6	2	12	2.126	0.003	0.006	2.129	2.123
Mo⁶⁺	4	11 (1)	44 (4)	1.864	0.031	0.149	1.951	1.802
Mo⁶⁺	5	0 (1)	0 (5)
Ru³⁺	6	8	48	2.092	0.005	0.019	2.101	2.082
Rh³⁺	6	3 (2)	18 (12)	2.071	0.007	0.024	2.078	2.054
Pd²⁺	4	5	20	2.044	0.015	0.060	2.079	2.019
Ag⁺	2	9 (2)	18 (4)	2.125	0.026	0.108	2.192	2.084
	3	2	6	2.266	0.099	0.295	2.445	2.150
	4	2	8	2.277	0.024	0.085	2.316	2.231
	5	0 (1)	0 (5)
	6	0 (2)	0 (12)
Cd²⁺	6	4 (4)	24 (24)	2.341	0.044	0.227	2.466	2.239
Sn²⁺	3	1	3	2.143	0.019	0.042	2.170	2.128
Sn⁴⁺	6	4	24	2.177	0.000	0.001	2.178	2.177
Cs⁺	6	1	6	3.187	0.000	0.000	3.187	3.187
	7	2	14	3.342	0.135	0.393	3.549	3.156
	8	5 (1)	40 (8)	3.396	0.146	0.641	3.818	3.177
	9	2 (1)	18 (9)	3.479	0.242	0.839	3.940	3.101
	10	5	50	3.559	0.185	0.836	4.034	3.198
	11	1	11	3.665	0.242	0.698	4.068	3.370
	12	5 (1)	60 (12)	3.642	0.145	0.448	3.827	3.379
Ba²⁺	4	1	4	2.738	0.065	0.155	2.798	2.643
	5	6 (1)	30 (5)	2.868	0.088	0.388	3.041	2.653
	6	13 (1)	78 (6)	2.896	0.156	0.768	3.375	2.607
	7	16	112	2.960	0.177	0.771	3.447	2.676
	8	7	56	3.059	0.234	0.846	3.519	2.673
	9	0 (3)	0 (27)
	10	0 (3)	0 (30)
	11	0 (1)	0 (11)
	14	1	14	3.293	0.226	0.665	3.490	2.825
La³⁺	6	1 (1)	6 (6)	2.531	0.006	0.013	2.535	2.522
	7	1 (1)	7 (7)	2.607	0.151	0.397	2.834	2.437
	8	8 (3)	64 (24)	2.698	0.104	0.553	2.965	2.412
	9	3 (3)	27 (27)	2.770	0.154	0.621	3.098	2.477
Ce³⁺	8	3 (2)	24 (16)	2.646	0.120	0.486	2.849	2.363
Ce³⁺	9	2 (4)	18 (36)	2.740	0.192	0.713	3.133	2.420
Ce⁴⁺	6	1	6	2.427	0.000	0.000	2.427	2.427
Pr³⁺	7	1	7	2.572	0.081	0.236	2.691	2.455
	8	0 (1)	0 (8)
	9	0 (1)	0 (9)
Nd³⁺	6	2	12	2.497	0.062	0.164	2.571	2.407
	8	1 (3)	8 (24)	2.589	0.005	0.010	2.594	2.584
	9	0 (2)	0 (18)
Sm³⁺	7	1	7	2.477	0.046	0.162	2.544	2.382
	8	0 (5)	0 (40)
	9	0 (1)	0 (9)
Eu²⁺	6	2	12	2.599	0.106	0.279	2.715	2.436
	8	1	8	2.861	0.256	0.681	3.235	2.554
	10	1	10	2.928	0.214	0.717	3.246	2.529
	12	1	12	2.993	0.048	0.135	3.059	2.924
Eu³⁺	6	1	6	2.463	0.002	0.003	2.464	2.461
	8	0 (1)	0 (8)
	9	0 (1)	0 (9)
Gd³⁺	9	0 (2)	0 (18)
Tb³⁺	8	0 (3)	0 (24)
Dy³⁺	8	0 (1)	0 (8)
Ho³⁺	6	1	6	2.417	0.104	0.274	2.609	2.335
Ho³⁺	8	0 (1)	0 (8)
Er³⁺	6	1 (2)	6 (12)	2.401	0.056	0.165	2.525	2.360
Er³⁺	8	0 (2)	0 (16)
Yb³⁺	6	2	12	2.366	0.046	0.124	2.417	2.293
Yb³⁺	7	1	7	2.397	0.138	0.403	2.664	2.261
Lu³⁺	6	1	6	2.304	0.021	0.042	2.325	2.283
Hf⁴⁺	8	1	8	2.327	0.148	0.295	2.474	2.179
Ta⁵⁺	4	5	20	1.959	0.027	0.106	2.008	1.902
W⁶⁺	4	26 (1)	104 (4)	1.868	0.054	0.218	1.972	1.754
Pt²⁺	4	4 (11)	16 (44)	2.049	0.008	0.030	2.065	2.035
Au⁺	2	2	4	2.020	0.006	0.013	2.025	2.012
Tl⁺	6	2	12	3.039	0.167	0.571	3.385	2.814
	7	5	35	3.117	0.240	0.913	3.664	2.751
	8	1	8	3.204	0.239	0.762	3.542	2.780
Pb²⁺	5	1	5	2.559	0.125	0.313	2.622	2.309
Pb²⁺	7	1	7	2.724	0.064	0.155	2.822	2.667
Bi³⁺	8	0 (3)	0 (24)
U⁴⁺	8	1	8	2.424	0.040	0.080	2.464	2.384
U⁶⁺	7	0 (2)	0 (14)

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Numbers in parentheses are for mixed (O²⁻ and N³⁻) coordination polyhedra. Statistical results given here do not include these data.

Derivation of bond-valence parameters

While the first proposal of a relation between bond length and bond strength can be attributed to Pauling,⁷³ the first universal two-body correlation between these variables was described by Brown and Shannon⁷⁴ in what ultimately developed into the bond-valence model.⁷⁵ The bond-valence relation was initially proposed as an inverse power equation⁷⁴ and later reformulated to

graphic file with name d0sc06028c-t1.jpg

where R_i is the bond length, S_i is the bond valence, and R_o and B are bond-valence parameters, derived on the basis of ion pair.⁷⁶ A principal axiom of the bond-valence model, which notably serves as a basis for deriving bond-valence parameters, is the valence-sum rule. The valence-sum rule states that the sum of the bond valences at each atom is equal to the magnitude of the atomic valence,⁷⁵

graphic file with name d0sc06028c-t2.jpg

where the sum is taken over the j nearest neighbours of cation i, and where V_i is the atomic valence (oxidation state) of cation i. Following a review of methods used for the derivation of bond-valence parameters, Gagné & Hawthorne proposed the Generalized Reduced Gradient (GRG) method of RMSD minimization for the derivation of new bond-valence parameters⁶⁷ (where the RMSD is from the valence-sum rule, in valence units, v.u.). This method uses the GRG algorithm to find the global minimum of

graphic file with name d0sc06028c-t3.jpg

where the minimization is done over n observed coordination polyhedra for a given cation–anion pair. Gagné & Hawthorne further propose the use of a weighting scheme that finds a balance between overall fit (RMSD; eqn (3)) and fit on the basis of cation coordination number

graphic file with name d0sc06028c-t4.jpg

where the term between brackets is the mean bond-valence sum on the basis of coordination number, and where the summation is done over n observed coordination numbers. This added term ensures that a potentially disproportionate amount of data for a given cation coordination number does not overtake the optimization procedure, which can otherwise result in faulty bond-valence parameters. We used the 2 : 1 weighting scheme between RMSD and RMSD_CN of Gagné & Hawthorne to derive the bond-valence parameters of Table 1. A detailed discussion of the method used to derive bond-valence parameters for mixed-anion cation coordination polyhedra, and those observed in a single coordination number, is given in the ESI† alongside complementary verification of anion bond-valence sums for the full set of parameters.

Comparison to O²⁻ bond-valence parameters

For the 40 cations for which both R_o and B were refined, the mean increase in R_o and B are 0.064 and 0.023 Å, respectively, in comparison to the parameters of Gagné & Hawthorne.⁶⁷ When weighting these changes by the number of coordination polyhedra used for each ion, these numbers are 0.092 and −0.011 Å, respectively. The largest change is for Li⁺: for O²⁻, R_o = 1.062, B = 0.642 Å, and for N³⁻, R_o = 1.713, B = 0.312 Å. This variation is an artifact of a shallow RMSD global minimum (typical of alkali and alkaline-earth metals), whereby large changes in the bond-valence parameters lead to only slight changes in RMSD. A lower value of R_o for N³⁻vs. O²⁻ is usually associated with an increased value for B, and vice versa.

Comparison with published bond-valence parameters

We compared the parameters of this work to the set of soft bond-valence parameters of Chen & Adams⁷⁷ which they adapted to the first coordination shell (but did not evaluate for anion bond-valence sums). Fewer bond-valence parameters are given by these authors for nitrides, allowing comparison for 25 pairs of bond-valence parameters. Whereby the valence-sum rule applies equally to cations and anions, and good agreement for cation bond-valence sums (BVS) in no way implies good agreement for anion BVS, our evaluation necessarily covers both cation and anion BVS. For a set of 25 reliable crystal structures selected for this purpose, the mean anion RMSD observed for the parameters of this work and those of Chen & Adams are 0.236 v.u. and 0.258 v.u., respectively. For cation BVS, the mean cation RMSD over the 25 ion pairs is 0.118 v.u. for the parameters of this work, and 0.219 v.u. for the parameters of Chen & Adams. Weighting by the number of coordination polyhedra, these values are 0.136 and 0.369 v.u., respectively, thus validating the derivation method of Gagné & Hawthorne.⁶⁷

On deriving bond-valence parameters

We stress that there is no good alternative to ensuring the quality of bond-valence parameters other than to verify their performance over a large number of crystal-structure refinements.

With strong correlation between the ratio of bond-valence parameter R_o and mean-bond-length as a function of the n^th ionization energy of the cation,⁶⁷ it may be tempting to derive bond-valence parameters for ion pairs without empirical data taking the mean-bond-length to be equal to the sum of the constituent ionic radii. However, this practice is fraught with uncertainty due to (1) large uncertainty associated with Shannon's ionic radii (the subject of upcoming work), and (2) the risk involved in fixing bond-valence parameter R_o instead of B (even where experimental data are available).⁶⁷ It is for these reasons that we have refrained from predicting bond-valence parameters which cannot be verified via high-quality experimental data. Even where such data are available, one may easily be misled into reporting “high-quality” bond-valence parameters if their quality is not checked against anion bond-valence sums.

Derivation of Lewis acid strengths

Pearson's concept of hard and soft acids and bases (HSAB)^78,79 may be conveniently transposed and quantified onto the bond-valence scale as

S_a = V/N_i

where S_a is the Lewis acid strength of a cation (analogously, S_b is the Lewis base strength of anions), V is the oxidation state, and N_i is the average observed coordination number (AOCN) of the cation compiled over a large number of crystal structures.⁸⁰ As such, the Lewis acidity of a cation may be interpreted as the mean observed bond-valence of a cation (or cation group) when bonded to a specific anion (or anion group). Furthermore, its standard deviation (calculated from that of the AOCN) may be interpreted as the ability of the cation to adjust to a range of Lewis base strengths via the valence-matching principle. The valence-matching principle states that the most stable structures will form when the Lewis acid strength of the cation closely matches the Lewis base strength of the anion (with island of stability 0.5 < S_a/S_b < 2).^75,81 This argument has notably been used to predict the weakly bonded constituents (interstitial complex) that link strongly bonded oxyanions to form the crystal structures of minerals,⁸² and to explain the distribution of mineral stoichiometries in nature.^83,84 Foreseeably, the concept of Lewis acidity/basicity may also be used in modeling, e.g. in crystal-structure prediction and materials design.

As Lewis acid strength is dependent upon the base against which it is measured,⁸⁵ we derive a scale of Lewis acidity for 77 cations bonded to N³⁻ (Table 1) to complement the dataset of Gagné & Hawthorne for cations bonded to O²⁻.⁸⁶ On average, Lewis acid strength values increase by 0.115 v.u. for cations bonded to N³⁻vs. O²⁻, due to generally lower observed cation coordination numbers. Notable discrepancies result from a favored tetrahedral over octahedral coordination for such ions as Nb⁵⁺, Mo⁶⁺, and W⁶⁺ when bonded to N³⁻.

Correlation with ionization energy

In Fig. 1 we show the correlation between Lewis acid strength and the nth ionization energy for the 64 cations reported here (n < 10 coordination polyhedra marked by triangles). Linear fit (solid line) to all data gives R² = 0.83. For n ≥ 10 coordination polyhedra (25 cations), the best-fit equation becomes

S_a = 0.315 × IE^0.807

with R² = 0.91. Eqn (6) is very similar to the equation reported by Gagné & Hawthorne for O²⁻ (S_a = 0.884 × IE^0.807, R² = 0.90).⁸⁶

We also note a high correlation (R² = 0.96) between the ratio Inline graphic and Lewis acidity (Table 1)

graphic file with name d0sc06028c-t6.jpg

for the 22 cations with n ≥ 10 coordination polyhedra for which bond-length data are available to calculate said ratio. This shows strong dependence of bond-valence parameter R_o to the Lewis acidity of the cation.

Bond-length variation

We generally observe much narrower bond-length ranges for nitrides than we do for oxides and oxysalts. This observation is likely due to a combination of the nascent sampling of the compositional space of inorganic nitrides and a focus by experimentalists on simple compositions and structures as a result of the significant challenges associated with synthesizing and growing these compounds. In fact, of the 18 transition metal configurations with bond-length range > 0.75 Å when bonded to O²⁻,⁵⁸ only three configurations are observed in our dataset for nitrides: ^[6]Mn²⁺ (n = 6), with bond lengths 2.170–2.417 Å, ^[6]Cu²⁺ (n = 3), with bond lengths 1.879–2.722 Å, and ^[6]Nb⁵⁺ (n = 2), with bond lengths 2.123–2.129 Å; this compares to bond-length ranges of 0.837, 0.893 and 0.777 Å when bonded to O²⁻,⁵⁸ respectively. Furthermore, the absence of any substantial bond-length variation in many ion configurations bonded to N³⁻ is a result of their observation in (relatively) highly symmetrical structures with inherently little to no variation in a priori bond lengths, which was recently demonstrated to be the most common cause of bond-length variation in inorganic solids by Gagné & Hawthorne.⁵⁸

There are 66 cations overlapping this work and that of Gagné & Hawthorne for oxides^58,69–72 from which we can directly compare mean bond-length and average observed coordination number. We find that cation–N³⁻ mean bond-lengths are on average 0.027 Å longer than their O²⁻ counterparts (0.034 Å when weighting these differences by the number of N³⁻ coordination polyhedra per cation) with mean bond-length differences varying between 0.318 Å shorter (Ag⁺) and 0.196 Å longer (Hf⁴⁺) when bonded to N³⁻. The average observed coordination number is 1.078 lower for cations bonded to N³⁻vs. O²⁻ (1.159, weighted).

Comparing the data on the basis of ion configurations (i.e. as a function of oxidation state and coordination number), the average increase in mean bond-length for N³⁻ coordination polyhedra is 0.118 Å (0.106 Å when weighting these differences by the number of N³⁻ coordination polyhedra per cation), over 112 overlapping ion configurations. In comparison, the ionic radii for ^[4]N³⁻ and ^[4]O²⁻ are 1.46 and 1.38 Å, respectively.⁶⁸ Thus, our data show a slightly more pronounced increase in mean bond-lengths for N³⁻vs. O²⁻ than predicted via the addition of ionic radii, with the largest increase for ^[12]Rb⁺ (0.339 Å) and largest decrease for ^[4]Ag⁺ (−0.120 Å).

We do not observe structures with N–H⋯N complexes in our neutron diffraction dataset; only N–H⋯O (n = 25) and O–H⋯N (n = 4). For N–H bonds, the average length is 0.999 Å with a range of 0.915–1.025 Å; for N⋯H bonds, the average length is 2.269 Å, with a range of 2.034–2.610 Å.

Anomalous bond-length distributions

Bond lengths are expected to form positively skewed Gaussian distributions as a result of the interplay between Coulomb attraction and Born repulsion for ion pairs (Fig. 2c gives such an example for ^[3]C⁴⁺ bonded to N³⁻). Gagné & Hawthorne state that deviations from such shape are the result of bond-topological, electronic and/or crystal-structure effects,⁵⁸ which they go on to describe for all cations of the periodic table observed bonding to O²⁻ in inorganic structures.^58,69–72 Notable examples of anomalous bond-length distributions include a tri-modal distribution for ^[4]P⁵⁺–O²⁻ bonds,⁷⁰ caused by varying bond-valence requirements as a function of the degree of polymerization of the [PO₄]³⁻ oxyanion (i.e. bond-topological effects), a tri-modal distribution for ^[6]Mo⁶⁺–O²⁻ bonds,⁵⁸ arising from a combination of pseudo Jahn–Teller and bond-topological effects, and anomalously long tails at longer bond lengths for penta-coordinated ion configurations of Cr²⁺, Co²⁺ and Cu²⁺, also caused by pseudo Jahn–Teller and bond-topological effects.⁵⁸

Fig. 2 shows bond-length distributions for the data of Table 2 (cations bonded solely to N³⁻) for n > 100 bond lengths and a few more interesting configurations. Due to a general paucity of data, partly due to the difficulty of growing inorganic nitrides as single crystals, few ion configurations have sufficient data for a distinct shape to arise from their bond-length distribution.

Visual inspection of these bond-length distributions shows departure from regular behavior for a handful of ion configurations. For the ^[2]C⁴⁺ configuration (Fig. 2c), we observe a tri-modal distribution of bond lengths with peaks at ∼1.15, ∼1.22 and ∼1.31 Å. Converting these bond lengths into bond valences gives 2.62, 2.00 and 1.42 v.u., respectively. Thus, the peak at ∼1.22 Å arises from symmetrical bonds of N C N carbodiimide units, such as in the structure of SrCN₂ (ref. 87) (75040) with a priori (observed) bond valences 2 × 2 v.u. (1.933 and 1.985) for C⁴⁺ (6 × 1/3 v.u. for Sr²⁺) calculated using the method of Gagné & Hawthorne⁸⁸ (Table S2†). The two other peaks of Fig. 2c are complementary, with bond-valence sum ≈ 4 v.u.; they result from N–C N cyanamide units, for example in Ag⁺N(CN)₂ (ref. 89) (843) with a priori (observed) bond valences 1.5 (1.524) and 2.5 (2.626) v.u. for C⁴⁺, and 2 × 0.5 (0.511) v.u. for Ag⁺. Thus, this result shows that bond valences are not perfectly distributed into a [3 + 1] v.u. arrangement in cyanamide units; a bond-valence of 3 v.u. would require a bond length of 1.115 Å.

Two other bond-length distributions are observed with slight irregularities; those of ^[4]P⁵⁺, and ^[4]W⁶⁺ (Fig. 2f and k, respectively). In both instances, the root cause for irregularity is non-local bond-topological asymmetry. For these ion configurations, competition between the bond-valence constraints of the cation and its bonded anions requires uneven distribution of bond valences (thus bond lengths; eqn (1)) in cation and/or anion coordination polyhedra. This mechanism of bond-length variation was described for ^[4]P⁵⁺ bonded to O²⁻ by Gagné & Hawthorne,⁷⁰ and was later extended to transition metals and described under the umbrella of bond-topological effects.⁵⁸ For example, ^[4]P⁵⁺ ideally forms 4 bonds that are 1.25 v.u. in strength; however, the ideal bond strengths for a bridging ^[2]N³⁻ ion are 2 × 1.5. v.u. Thus, for polymerization into corner-sharing dimers, ^[4]P⁵⁺ adapts to the bond-valence requirement of ^[2]N³⁻ and increase the strength of one bond to 1.5 v.u., weakening the three other bonds to 1.167 v.u (Fig. 3). For a chain of corner-sharing tetrahedra, ^[4]P⁵⁺ adjusts to 2 × 1.5 and 2 × 1 v.u.—so and so forth for different combinations of degrees of polymerization, number of shared vertices, and varying coordination number of the bridging anion(s). These different combinations result in multiple maxima in the bond-length distribution of cations prone to bond-topological effects; full rationalization of the shape of their bond-length distributions is achieved via the calculation of a priori bond valences for their constituent crystal structures. In our dataset, ^[4]P⁵⁺ and ^[4]W⁶⁺ are observed to polymerize into oligomers, chains, rings, sheets, clusters and frameworks, and we do not resolve the bond-valence requirements of each scenario here.

While other apparent instances of multi-modality observed in Fig. 2 result from paucity of data, our full dataset abounds with subtle bonding irregularities that allow a glimpse into the intriguing bonding properties of nitrides sensu lato, of which many bear technological importance. In the next part of this work, we examine structural and electronic effects associated with anomalous bond lengths in our dataset, thus shifting our focus toward uncovering less traditional bonding properties of inorganic nitrides that offer promising opportunities in the exploration of their bulk compositional space.

Opportunities for bulk exploratory synthesis

On the exploration of new compositional spaces

This past decade has seen a rapid increase in the development of high-throughput (HT) computational methods applied to materials discovery. These methods, usually rooted in Density Functional Theory (DFT) and/or Machine Learning (ML), allow screening of large compositional spaces in search of yet-to-be-observed compounds with desired functional properties. A growing number of HT studies include experimentally validated predictions (see a list compiled by Jain et al. for DFT⁹⁰),^28,91–96 partly owing to their suitability to synthesizability analysis^3,28,97–99—an emerging concept used to curb the difficulty of predicting the outcome of chemical reactions in the solid state.

Today, rapid increase in available computational power has by-and-large transformed the problem of in silico exploration from one of computational feasibility to one of a priori identifying compositional spaces of interest^100,101—a pursuit that has historically been realized via rules of crystal chemistry^102,103 and heuristic concepts. However, several issues cloud the exploration of new compositional spaces via DFT approaches, separate from the difficulties traditionally associated with the theory itself (e.g. strongly correlated systems, substitutional disorder, ground state calculations that ignore a potentially non-negligible entropic contribution to structure stability,¹⁰⁴etc.). For example, while exploration of extensive compositional spaces is currently manageable for ternary phases (as most recently evidenced by the work of Sun et al.²⁸), quaternary-and-higher compositional spaces are exponentially more computationally expensive for they require their stability be evaluated against an exponentially large number of stoichiometrically feasible phases of lower order. Current approaches are further limited to a relatively small set of known elementary, binary, and ternary crystal structures which may not necessarily conform to the chemical compositions investigated. Nonetheless, these problems are largely temporal, and should progressively lessen with an ever-increasing supply of computational power and the incremental discovery of new crystal structures.

A more difficult (yet hardly discussed) problem is the fundamental inability of DFT to model energetically degenerate and pseudo-degenerate electronic states, whereby vibronic coupling giving rise to Jahn–Teller (and pseudo Jahn–Teller) distortions do not conform to the Born–Oppenheimer and adiabatic approximations underpinning DFT.^105,106 This is problematic with regard to the startling extent to which vibronic coupling occurs in inorganic solids, as recently shown by Gagné & Hawthorne via large-scale bond-length dispersion analysis for oxides and oxysalts;⁵⁸ of 147 configurations of transition metal ions observed bonding to O²⁻, 52 configurations were observed with anomalous bond-length distributions, 46 of which partially or entirely due to vibronic coupling. Pending development of vibronic patches to DFT methods for HT investigation (e.g. ref. 107) and widescale evaluation of their efficacy, complementing DFT calculations with different approaches could possibly attenuate the vibronic coupling problem; for example, prediction of non-centrosymmetric behavior is within the purview of machine learning, which has been used in combination with DFT calculations to insulate promising non-centrosymmetric compositions from large compositional spaces (e.g. Ruddlesden–Popper oxides¹⁰⁸). The practice of combining DFT and machine learning approaches was recently reviewed by Schleder et al.¹⁰⁹

Notwithstanding the above, HT computing should not be mistaken for a one-stop solution to the multi-faceted issue of exploratory synthesis.¹¹⁰ While HT methods play a critical role in fast-tracking materials discovery via the identification of “missing compounds” and the calculation of their properties,^28,100 they are limited to rehashing data derived from known chemical spaces; navigating the totality of all existing compositional and structural spaces is categorically intractable for state-of-the-art HT methods.¹¹¹ Thus, the discovery of new compositional spaces and of next-generation materials largely continues to lie in the ingenuity of the crystal and synthetic chemists. This assertion is particularly relevant to the exploration of inorganic nitrides, whose remarkable range of metastability suggests an exceptionally broad spectrum of observable compositions.⁹⁷ Combined with the main takeaways of our bond-length dispersion analysis, this proposition leads us to affirm that the chemical potential of inorganic nitrides has barely been scratched, thus pressing the need for exploration outside known compositional spaces.

Below, we use the systematic nature of our bond-length dispersion analysis to identify various functional building blocks for integration into new compositions and crystal structures. Such an approach has disproportionate potential for leading to new disruptive compounds, and could advantageously be integrated into HT approaches to a priori identify areas of interest in lieu of expanding resources in low-return chemical spaces. Further integration of the data from Tables 1 and 2 may be used to rapidly verify the structural validity of these modeled compounds before expanding resources on them.

New compositional spaces for the exploratory synthesis of inorganic nitrides

In light of the recent extensive review of the crystal chemistry of oxides and oxysalts by Gagné & Hawthorne,^58,69–72 we investigate our dataset of inorganic nitride structures for the occurrence of bond topological, electronic and/or crystal-structure effects, placing emphasis on the functional properties resulting from these effects. Compositional and structural divergences are expected between the compounds making up these two datasets. For example, lower cation coordination numbers are expected in inorganic nitrides due to the larger size of N³⁻vs. O²⁻ (as evidenced by our comparison of mean bond lengths between N³⁻ and O²⁻ structures, above). We further expect (and observe) similar or lower oxidation states for cations in inorganic nitrides since O²⁻ is better at stabilizing high metal oxidation states as a result of its higher electronegativity (3.44 vs. 3.04 for N), or alternatively, higher electron affinity.¹¹² Furthermore, the reduced ionicity of the chemical bonds made by N³⁻ allows formation of exceptionally strong and localized bonds that can lock-in energetically unfavorable atomic arrangements;⁹⁷ this is particularly relevant to electronegative p-block and d-block elements.

In addition to our principal dataset, we surveyed the chemical behavior of inorganic nitrides in coordination complexes; many molecular features of coordination complexes are preserved as they incorporate into crystal structures, and the carrying of their electronic properties is often more important than the steric constraints of space-group symmetry and long-range order.¹¹³ A chemically intuitive treatment of chemical bonding thus follows from the common simplifying assumption of no translational symmetry,^114,115 allowing the study of molecular fragments via ligand field theory; the slight loss in accuracy (effectively, losing information on “additional” bonding schemes that arise in extended solids as a result of electron delocalization) is greatly overcome by substantial gains in chemical intuition at a local scale, resulting in transferable insight useful to the exploration of new compositional spaces. As such, bonding knowledge derived in coordination chemistry poses as powerful inspiration to solid-state syntheses.¹¹⁶

We organize our discussion into five phenomenological compositional spaces holding promise for the exploratory synthesis of bulk functional inorganic nitrides (summarized in Table 3), and encourage expansion of this kind of analysis to different chemical subfields whose functional units may differ in composition. In contrast to HT methods, the intent of the following subsections is not to identify specific chemical compositions and/or crystal structures, but to unearth new and promising compositional spaces from an otherwise intractable combinatorial space of chemistries to be used as starting points for more concrete computational and/or synthetic investigations.

Promising ions for the exploratory synthesis of functional inorganic nitrides and comparison to their oxide counterparts.

Confirmed (O²⁻)^58,69–72	Confirmed (N³⁻)	To be investigated (N³⁻)^a	Relation to O²⁻
Full-fledged multiple-bond formation (>1.95 v.u.)
^[3]N⁵⁺, ^[4]Cl⁷⁺, ^[4]V⁵⁺, ^[4]Cr⁶⁺, ^[5,6]Mo⁵⁺, ^[4–6]Mo⁶⁺, ^[6]W⁶⁺, ^[4–5]Re⁷⁺, ^[4–5]Os⁸⁺, ^[6–8]U⁶⁺	^[2]C⁴⁺, ^[2]N⁵⁺, ^[2]S⁴⁺, ^[5]Mo⁶⁺, ^[4]W⁶⁺	V⁴⁺, V⁵⁺, Cr^5,6+, Nb⁵⁺, Mo⁵⁺, Tc⁷⁺, Ta⁵⁺, Re⁷⁺, Os⁸⁺, U⁶⁺	χ _N³⁻ < χ_O²⁻; multiple-bond formation facilitated for N³⁻. Triple bond impossible for O²⁻; special geometry required for N³⁻

		(>1 v.u.: Ti⁴⁺, Se^4,6+, As⁵⁺, Br^5,7+, Te^4,6+, I^5,7+, W⁵⁺, Os^6,7+, Bi⁵⁺, Np^5,6,7+)

Coupled electronic-vibrational degeneracy: the Jahn–Teller effect
^[6]Cr²⁺, ^[6]Mn³⁺, ^[6]Cu²⁺	^[3]Cr³⁺, ^[6]Co³⁺, ^[6]Cu²⁺	^[6]V³⁺, ^[6]Cr²⁺, ^[6]Mn³⁺, ^[6]Fe²⁺, ^[3]Fe³⁺, ^[6]Co²⁺, ^[6]Mo⁵⁺, ^[6]Os⁷⁺	χ _N³⁻ < χ_O²⁻; increased covalency thus distortion magnitude for N³⁻

Minor: ^[6]Co²⁺, ^[6]V³⁺ and ^[6]Mo⁵⁺, ^[6]Os⁷⁺

Coupled electronic-vibrational near-degeneracy: the pseudo Jahn–Teller effect
^[4–7]Ti⁴⁺, ^[4–6]V⁵⁺, ^[6–10,12]Y³⁺, ^[6–10]Zr⁴⁺, ^[4–8]Nb⁵⁺, ^[4–6]Mo⁶⁺, ^[6–8]Hf⁴⁺, ^[6–7]Ta⁵⁺, ^[4–6]W⁶⁺, ^[4–6]Re⁷⁺, ^[4–6]Os⁸⁺. Minor: ^[6–8]Sc³⁺, ^[5–6]V⁴⁺, ^[4]Cr⁶⁺, ^[4]Mn⁷⁺, ^[6–10,12]Y³⁺; ^[5]Cr²⁺, ^[5]Co²⁺, ^[5]Cu²⁺, ^[6]Zn²⁺, ^[6]Cd²⁺, ^[6]Hg²⁺	^[6]Y³⁺, ^[4]Mo⁶⁺, ^[8]Hf⁴⁺, ^[4]Ta⁵⁺, ^[4]W⁶⁺	Sc³⁺, Ti⁴⁺, Zr⁴⁺	χ _N³⁻ < χ_O²⁻; optimal match of atomic orbital energies shifted to cations of lower electronegativity. Increased covalency thus distortion magnitude for N³⁻

		Observed, but distortion magnitude inconclusive due to paucity of data: ^[4]V⁵⁺, ^[4]Cr⁶⁺, ^[4,6]Nb⁵⁺

Lone-pair stereoactivity
^[3]P³⁺, ^[3]S⁴⁺, ^[2,4]Cl³⁺, ^[3]Cl⁵⁺, ^[3–8]As³⁺, ^[4–10]Se⁴⁺, ^[6–8]Br⁵⁺, ^[3–9]Sn²⁺, ^[3–9]Sb³⁺, ^[3–12]Te⁴⁺, ^[6–9]I⁵⁺	^[6–8]Tl⁺, ^[3]Sn²⁺, ^[5,7]Pb²⁺	Sn²⁺, As³⁺, Sb³⁺, Se⁴⁺; possibly In⁺, Ge²⁺, Te⁴⁺, Bi³⁺	χ _N³⁻ < χ_O²⁻; optimal match of atomic orbital energies shifted to cations of lower electronegativity

Minor: ^[3–12]Tl⁺, ^[3–12]Pb²⁺, ^[3–10,12]Bi³⁺

Polymerization: ^[4] M ⁶⁺ configuration
^[4]Si⁴⁺, ^[4]Ge⁴⁺, ^[4]Ti⁴⁺, ^[4]Cr⁴⁺	^[4]Mo⁶⁺, ^[4]W⁶⁺	^[4]S⁶⁺, ^[4]Se⁶⁺, ^[4]Cr⁶⁺	Cation OS/CN ratio of 1.5 required for prolific polymerization via^[2]N³⁻, vs. a ratio of 1 for ^[2]O²⁻

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Includes cations of high oxidation state (OS) that may be challenging to achieve experimentally.

Multiple-bond formation

One of the primary causes of bond-length variation in inorganic solids is the formation of “multiple bonds” between ion pairs.⁵⁸ Inorganic nitrides are exciting materials for in-depth study of this phenomenon and its ensuing properties, for they are a rare class of solid-state compounds where triple-bond formation (i.e. up to 3 v.u. in strength) is possible. In inorganic nitrides, multiple-bond formation is commonly observed for metal nitrido complexes, i.e. coordination complexes which contain one or more atoms of nitrogen bound only to transition metals. In these complexes, multiple-bond formation (commonly called “double” or “triple” bonds) occurs via mixing of anion p orbitals and unfilled metal d and/or f orbitals.^117,118

Coordination compounds containing nitrido complexes are ubiquitous in chemical literature, largely driven by the desire to improve our understanding of the mechanism of nitrogen fixation (which is assumed to undergo nitrido-complex formation).¹¹⁹ Comprehensive reviews bring into light the remarkable chemical versatility of doubly- and triply-bonded N³⁻.^120–124 Despite this wealth of information, very few compounds containing double or triple M–N bonds have been synthesized and characterized in the solid state. Of the 137 cation configurations we observe bonded solely to N³⁻ (Table 2), only four configurations are observed with one or more structures containing a bond valence > 1.95 v.u.; three are non-metals, the other is ^[4]W⁶⁺ (including oxynitrides only adds one configuration to this tally: ^[5]Mo⁶⁺). In comparison, Gagné & Hawthorne report 17 of 461 cation configurations with bond valence > 1.95 v.u. (i.e. discrete terminal double bonds to O²⁻) in oxide and oxysalt structures, 12 of which for transition metals (Fig. 4).⁵⁸ Although inorganic nitrides have the ability to make terminal bonds up to 3 v.u. in strength, we observe no such bonds in our dataset. The strongest metal bond observed is for ^[5]Mo⁶⁺ in oxynitride Na₅Mo⁶⁺O₄N¹²⁵ (55113) with a Mo⁶⁺–N³⁻ distance of 1.719 Å, representing a bond valence of 2.583 v.u.

Evidently, the potential for making strong terminal bonds to N³⁻ is untapped; combined with the incredible variety of known nitrido complexes spanning most metals of the periodic table (including U^118,126), doubly and triply-bonded inorganic nitrides are promising candidates for exploratory synthesis. Such compounds may not only be helpful in clarifying the mechanism of N₂ reduction, but could possibly be used as heterogeneous catalysts in the development of a post-Haber–Bosch process proceeding at milder reaction conditions; the remarkable diversity of known nitrido-complex compounds shows considerable promise for fine tuning the kinetics of N₂ and H₂ activation. Metal-nitrido coordination complexes have also been reported as a key component to the catalytic oxidation of water,¹²⁷ alkanes,¹²⁸ alkenes and alcohols,¹²⁹ thus showing further promise for their use as solid-state catalysts.

There are 66 of 76 cations and 112 of 137 cation configurations overlapping this work and that of Gagné & Hawthorne for oxides and oxysalts,^58,69–72 whereby non-overlapping configurations primarily result from the preference of inorganic nitrides for lower cation oxidation states and/or coordination numbers. Based on the similar crystal-chemical behavior of these classes of compounds, their significant overlap in cation configurations, and the isoelectronic nature of N³⁻ and O²⁻, we assume that cation configurations yet-to-be-observed in inorganic nitrides with equal or lower oxidation states and/or coordination numbers than their oxide and oxysalt counterparts either result from challenging synthesis or lack of synthetic attempts. Comparing the dataset of Gagné & Hawthorne against the present work for cation configurations with bonds > 1 v.u., we conclude that promising opportunities for multiple bond-formation (1–3 v.u.) in inorganic nitrides include cations such as Ti⁴⁺, V⁴⁺, As⁵⁺, Se^4,6+, Br^5+,7+, Mo⁵⁺, Tc⁷⁺, Te^4,6+, I^5,7+, W⁵⁺, Re⁷⁺, Os^6,7,8+, Bi⁵⁺, U⁶⁺ and Np^5,6,7+; further syntheses are also warranted for V⁵⁺, Cr^5,6+, Nb⁵⁺, Mo⁶⁺, Ta⁵⁺ and W⁶⁺.

Coupled electronic-vibrational degeneracy: the Jahn–Teller effect

The Jahn–Teller effect (JTE) is a mechanism of symmetry-breaking that results from strong electron–vibrational (vibronic) and electron–phonon interactions in molecules and crystals, respectively,¹³⁰ and is characterized by energetically favorable occupancy of electronic states ensuing degeneracy breaking polyhedral distortion. Although the JTE is commonly observed in coordination complexes of N³⁻ (including nitrido complexes,¹³¹ which are for example used as single-molecule magnets¹³²), research into the material properties resulting from the JTE has historically focused on oxide and oxysalt compounds, including colossal magnetoresistance,¹³³ superconductivity,¹³⁴ improved electrochemical performance of cathode materials (via the “opening” of diffusion channels),^135,136 and magnetic-dielectric bistability.¹⁰⁶

Gagné & Hawthorne's recent bond-length dispersion analysis for transition metals bonded to O²⁻ identifies 4 out of 52 typically highly distorted ion configurations where coupled electronic-vibrational degeneracy is the principal underlying cause of bond-length variation, ^[6]Cr²⁺, ^[6]Mn³⁺, ^[6]Cu²⁺ and ^[6]Os⁷⁺, and an additional three configurations where it is a minor contributing factor: ^[6]Co²⁺, ^[6]V³⁺ and ^[6]Mo⁵⁺. Considering the lower electronegativity of N vs. O (which entails more covalent bonds to transition metals) and the isoelectronic nature of these ligands, there is reason to believe that the above ion configurations (and possibly others) may experience the JTE with larger distortion magnitude when bonded to N³⁻.

In the present dataset, we observe three cation configurations (bonded solely to N³⁻) for which anomalous bond lengths can be attributed to the JTE: ^[3]Cr³⁺, ^[6]Co³⁺ (weak) and ^[6]Cu²⁺ (strong). Ion configurations ^[6]Mn³⁺, ^[6]Os⁷⁺ and ^[6]Mo⁵⁺ have yet to be observed, while ^[6]Cr²⁺ and ^[6]V³⁺ are each observed in one structure, refined as regular octahedra, and ^[6]Co²⁺ observed in two structures, also refined as regular octahedra. ^[3]Cr³⁺ is observed in Ca₃Cr³⁺N₃ (40205) with bond lengths 2 × 1.766 and 1.863 Å.¹³⁷^[6]Co³⁺ ([Ar]3d⁶) is observed in (NH₃)₅Co³⁺NCSCo³⁺(CN)₅H₂O (4094), with two anomalously short bond lengths of 1.907 and 1.932 Å in trans configuration, and 4 equatorial bonds ranging 1.972–1.977 Å,¹³⁸ and in (Co³⁺(NH₃)₆)(Np⁵⁺O₂(C₂O₄)₂)(H₂O)_1.5 (155531) with two short bond lengths of 1.892 and 1.894 Å in trans configuration and 4 equatorial bonds ranging 1.937–1.970 Å (spin unknown in both structures).¹³⁹^[6]Cu²⁺ ([Ar]3d⁹) is observed in three structures bonded solely to N³⁻, and ten structures in mixed proportions with O²⁻. The Jahn–Teller effect is observed in all cases, to a largely varying extent, and where the two weakest bonds (<0.2 v.u.) are always to O²⁻. For the three Cu²⁺N₆ octahedra, the observed bond lengths are 4 × 2.061 and 2 × 2.612 Å for Cu(NH₃)₄)(Ag(SCN)₃ (10065),¹⁴⁰ 4 × 1.997 and 2 × 2.369 Å in Cu[B(CN)₄]₂ (415546),¹⁴¹ and 2 × 1.879, 2 × 1.965 and 2 × 2.722 Å for K₂CuFe(CN)₆ (99499).¹⁴²

The surprisingly large range of bond lengths observed for the latter structure, 0.843 Å, appears to support the case for higher distortion magnitude in inorganic nitrides; of 365 polyhedra observed bonding to O²⁻ by Gagné & Hawthorne,⁵⁸ only one is observed with a larger range of bond lengths, 0.870 Å, for mrázekite Bi₂³⁺Cu₃²⁺(OH)₂O₂(PO₄)₂(H₂O)₂ (71934).¹⁴³

To verify that the large variation of bond lengths is not due (or partly due) to non-local bond-topological asymmetry in K₂CuFe(CN)₆, we calculate values of Δ_topol and Δ_cryst for the Cu²⁺N₆ octahedron using the method of Gagné & Hawthorne;⁵⁸Δ_topol is calculated as the mean (absolute) weighted deviation between the bond valences of a given polyhedron and that of its regular variety with equidistant bond lengths, i.e. its Pauling bond strength, and Δ_cryst is calculated as the mean (absolute) weighted deviation between the a priori and observed bond valences—thus encompassing all effects not arising from bond-topological arguments. We calculate Δ_topol = 0.008 and Δ_cryst = 0.199 v.u. for the Cu²⁺N₆ octahedron (Fig. 5); these values clearly indicate that bond-length variation is overwhelmingly due to the JTE, supporting the suggestion of larger distortion magnitude for cations bonded to N³⁻ (a priori bond valences are given in Table S2†). The untapped potential for highly distorted Cu²⁺ polyhedra (and other JT-active cations) may have important implications in the design of oxynitride and/or nitride counterparts to cuprate superconductors, with a handful of layered oxynitride¹⁴⁴ and nitride superconductors already known for d⁰ transition metals.^145,146

Our dataset contains two cations that seem to be JT-inactive in octahedral coordination to N³⁻ with d⁴ and d⁷ electronic configurations: ^[6]Cr²⁺ and ^[6]Co²⁺. ^[6]Cr²⁺ ([Ar]d⁴, n = 1) is observed in [Cr²⁺(NH₃)₆]I₂ (78860)¹⁴⁷ with reported high spin configuration, refined as a regular octahedron. ^[6]Co²⁺ ([Ar]d⁷, n = 2) is observed in [Co²⁺(NH₃)₆](PF₆)₂ (30704; spin unknown)¹⁴⁸ with bond lengths 6 × 2.186 Å, nearly identical to those of [Co²⁺(NH₃)₆]Br₂ (78864)¹⁴⁷ (6 × 2.176 Å) with Co²⁺ in high spin configuration. In comparison, both ^[6]Cr²⁺ and ^[6]Co²⁺ are dominatingly high spin in oxides,⁵⁸ making ^[6]Cr²⁺ strongly JT-active (with clear-cut bi-modal bond-length distribution) and ^[6]Co²⁺ weakly JT-active (unimodal bond-length distribution). It is possible that the observation of regular Co²⁺/Cr²⁺N₆ octahedra is due to the dynamic JTE, which was shown to be present in Co²⁺N₆ terpyridine complexes by Kremer et al.¹⁴⁹ In oxynitride Co²⁺(H₂O)₂Ni²⁺(CN)₄·4H₂O (59366; spin unknown),¹⁵⁰ bond distances are 2 × 2.095 and 2 × 2.101 Å to N³⁻, and 2 × 2.128 Å to O²⁻ (0.380, 0.376 and 0.319 v.u. respectively); in Cs₂Co²⁺(S₈(Re³⁺(CN))₆)(H₂O)₂ (89491),¹⁵¹ bond distances are 2.052 (0.390) and 2.092 (0.351) to O²⁻, and 4 × 2.161 Å (0.332 v.u.) to N³⁻, indicating that ^[6]Co²⁺ may be JT-active when bonded to a mixture of O²⁻ and N³⁻.

Other cations prone to the JTE and warranting further investigation include Fe²⁺, Co³⁺, V³⁺ and Mo⁵⁺ in octahedral coordination (weak); the observation of ^[6]Mn³⁺ (strong) seems less likely as Mn³⁺ appears to prefer lower coordination numbers when bonded to N³⁻. Cations with lower coordination numbers (e.g.^[3]Fe³⁺ (ref. 152)) do present further opportunity to study the JTE in inorganic nitrides, although bond-length variations associated with lower coordination numbers are usually modest.

Coupled electronic-vibrational near-degeneracy: the pseudo Jahn–Teller effect

The pseudo Jahn–Teller effect (PJTE) is a mechanism of symmetry breaking that results from the vibronic mixing of (two or more) electronic states sufficiently close in energy to interact under nuclear displacement.^130,153 Vibronic mixing usually (but not necessarily) occurs between the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO), with a distortion mode having the same symmetry as the HOMO to LUMO transition.¹⁵³ Although occurrence of the PJTE is not encumbered by a priori limitations such as electronic configuration, the PJTE is primarily observed for d⁰ transition metals, with resulting non-centrosymmetric behavior responsible for a host of technologically relevant properties including ferroelectricity,^59,154 ferromagnetism,¹⁵⁵ multiferroicity,¹⁵⁶ piezoelectricity,⁵⁹ photocatalysis,¹⁵⁷ nonlinear optics,^59,63 magnetic-dielectric bistability,¹⁰⁶etc. The PJTE is of particular interest to materials design, for the structural instability resulting from this effect can be controlled by means of electronic rearrangements induced by redox processes, electromagnetic fields, external pressure, and more,¹⁵³ with potential applications spanning bistable atomic switches,^158–160 and control over sorption characteristics of catalysts to move beyond the Sabatier principle.¹⁶¹

Because vibronic phenomena do not conform to the Born–Oppenheimer and adiabatic approximations, the modeling of JTE- and PJTE-active compounds is ill-suited to DFT investigation and requires careful treatment that precludes high-throughput analysis.¹⁰⁶ For this reason, the derivation of empirical trends and use of heuristic concepts is particularly important to the exploration of this phenomenon. Gagné & Hawthorne recently showed that the PJTE is the 2^nd most frequently encountered cause of bond-length variation in transition metals when bonded to O²⁻ (after bond-topological effects).⁵⁸ In their work, the PJTE is observed as the main reason underlying anomalous bond-length distributions (in terms of shape and/or range) for 29 of 52 transition metal configurations, in addition to 11 ion configurations for which it is present in minor yet significant ways, covering electronic configurations d⁰, d⁴, d⁷, d⁹ and d¹⁰, and coordination numbers [4]–[10]. Because studies covering PJTE-active cations have almost exclusively focused on oxides and oxysalts, our understanding of this phenomenon is particularly lagging in inorganic nitrides, where few syntheses incorporating d⁰ transition metals have been attempted (with the exception of the group of Kazuhiko Maeda who studied a handful of oxynitrides with d⁰ transition metals as photocatalytic materials¹⁶²).

Because PJTE instabilities can be of any symmetry within the group representation (thus are indiscriminate of coordination number), occurrence of the PJTE can be reduced to a problem of energy gap between interacting electronic states. In their study of octahedrally coordinated d⁰ transition metals, Kunz & Brown¹⁶³ observed an increasing degree of distortion with decreasing HOMO–LUMO gap, which in turn correlates to the size and charge of the d⁰ cation (this trend was later described in terms of electronegativity,¹⁶⁴ whereby more electronegative cations lead to larger distortions when bonded to O²⁻). While similar behavior is expected for nitrides, the lower electronegativity of N (3.04) compared to O (3.44) entails a shift of the electronic states of N³⁻ to higher energies, thus affecting the HOMO–LUMO gap (and distortion magnitude) compared to O²⁻. As a result, the occurrence of PJT-driven distortion for bonds made to N³⁻ are shifted to cations of lower electronegativity in relation to O²⁻ for a better match of orbital energies. In addition, the lower electronegativity of N (closer to that of transition metals) entails potential for larger distortion magnitude (measured as Δ_cryst) owing to increased covalency of the M–N bond. However, others factors (e.g. nearest-neighbor identity^153,164) may have an overwhelming effect on the energy gap of the interacting states. While rationalizing the occurrence of the PJTE via quantum mechanical arguments is now commonplace, predicting the occurrence of a PJT distortion from simple crystal-chemical principles remains an open problem.

Table 4 summarizes bond-length information for ion configurations prone to the PJTE overlapping the present dataset and that of Gagné & Hawthorne for oxides and oxysalts.⁵⁸ Italicised entries are for ion configurations where the PJTE is a minor contributor to bond-length variation in oxides and oxysalts; for example, the effect of polymerization on bond length variation is much larger than that of the PJTE for ^[4]V⁵⁺ when bonded to O²⁻. To precisely evaluate the relative distortion magnitude for cations bonded to N³⁻vs. O²⁻, one would ideally quantify the proportion of bond-length variation due to the PJTE via the method of Gagné & Hawthorne,⁵⁸i.e., by removing the bond-topological contribution to bond-length variation (example given for Cu²⁺ above). Unfortunately, too few crystal structures are available to comprehensively calculate Δ_topol and Δ_cryst indices in inorganic nitrides. However, the few crystal structures suited to the calculation of these indices are in support of a shift of the occurrence of the PJTE to cations of lower electronegativity, and hint at larger distortion magnitude for the same cation configurations (data compared to Table S2† of Gagné & Hawthorne⁵⁸). For example, Δ_topol = 0 and Δ_cryst = 0.177 v.u. for ^[8]Hf⁴⁺ in Hf₃⁴⁺N₄ (97997),¹⁶⁵ with bond-length range 0.295 Å; in Li₄(Ta⁵⁺N₃) (412585),¹⁶⁶Δ_topol = 0.083 and Δ_cryst = 0.084 v.u. for ^[4]Ta⁵⁺, with bond-length range 0.106 Å. Distortion magnitudes attributable to the PJTE are still large for higher-electronegativity transition metals: in LiBa₄(Mo₂⁶⁺N₇) (74822),¹⁶⁷Δ_topol = 0.079 and 0.095 and Δ_cryst = 0.230 and 0.123 v.u. for two crystallographically distinct ^[4]Mo⁶⁺ sites, with bond-length ranges 0.149 and 0.111 Å, respectively; in LiBa₄(W₂⁶⁺N₇) (74823),¹⁶⁷Δ_topol = 0.081 and 0.091 and Δ_cryst = 0.101 and 0.064 v.u. for two crystallographically distinct ^[4]W⁶⁺ sites, with bond-length ranges 0.138 and 0.110 Å, respectively (all a priori bond valences in Table S2† herein).

Comparison of mean bond-length ranges for PJTE-active cations bonded to N³⁻vs. O²⁻.

Ion configuration	Electronic configuration	Sample size bonded to N³⁻/O²⁻^a	Mean bond-length range bonded to N³⁻/O²⁻^a (Å)
^[4] V ⁵⁺	d⁰	1/345	0.038/0.118
^[4] Cr ⁶⁺	d⁰	2/169	0.024/0.120
^[6]Zn²⁺	d¹⁰	1/193	0/0.169
^[6]Y³⁺	d⁰	5/25	0.096/0.081
^[4]Nb⁵⁺	d⁰	10/2	0.049/0.117
^[6]Nb⁵⁺	d⁰	2/240	0/0.290
^[4] Mo ⁶⁺	d⁰	11/434	0.068/0.069
^[6] Cd ²⁺	d¹⁰	4/135	0.067/0.140
^[8]Hf⁴⁺	d⁰	1/7	0.295/0.163
^[4]Ta⁵⁺	d⁰	5/0^b	0.0464/—
^[4]W⁶⁺	d⁰	26/35	0.124/0.053

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Oxide data taken from Gagné & Hawthorne.⁵⁸

Not observed bonded to O²⁻.

Based on these observations, exploratory synthesis of PJTE-active inorganic nitrides appears promising for the exploitation of their functional properties. Common d⁰ transition metals warranting investigation and missing from our dataset (some due to our stringent collection/filtering criteria) include Sc³⁺, Ti⁴⁺, and Zr⁴⁺; these elements are particularly promising candidates for PJT-induced distortion in inorganic nitrides owing to their low electronegativity.

Lone-pair stereoactivity

Lone-pair stereoactivity is an electronic phenomenon associated with the observation of highly anisotropic coordination polyhedra for p-block cations with ns²np⁰ electron configuration. Lone-pair stereoactivity has been described as the causal mechanism for a multitude of material properties not limited to ultra-low thermal conductivity (a property most relevant to the development of next-generation thermoelectrics¹⁶⁸),¹⁶⁹ second-harmonic generation response,^170–172 piezoelectricity,^61,173 pyroelectricity,^173,174 ferroelectricity,^175,176 ferromagnetism,¹⁷⁷ multiferroicity,¹⁷⁸ dielectric behavior,¹⁷⁹ photocatalysis,^157,180 and the photovoltaic effect.¹⁸¹

Lone-pair (LP) stereoactivity originates from strong interaction between the cation s and anion p orbitals leading to a high energy antibonding state which, via distortion of the structure, may interact with empty cation p orbitals to form a localized electronic state where the lone pair resides.¹⁸² As such, LP stereoactivity essentially amounts to a special case of the PJTE (see above), where crucial variables include a (vibronic) distortion mode with net positive overlap between the cation p and mixed cation s and anion p states, and favorable interaction between cation s and p states for the formation of the interacting antibonding state (the energy of which being strongly dependent on that of the anion p states). Thus, LP stereoactivity (vs. inertness) is strongly a function of ligand identity; for example, the increasing energy of p states with increasing period has been demonstrated to reduce mixing with cation s states to the point of quenching the effect.^183,184 It follows that anions have a “sweet spot” of cation s and p atomic orbital energies for which the occurrence and magnitude of lone-pair stereoactivity is maximized, where the initial cation s and anion p interaction determines how much stabilization (if any) may be achieved via interaction with empty cation p orbitals. Other factors influencing the occurrence and magnitude of lone-pair stereoactivity include the s character of the antibonding orbital (the higher the s character of the antibonding state, the better it is stabilized via mixing with the cation p state) and relativistic effects for period 6 cations, whereby relativistic contraction of the 6s orbital reduces mixing with anion p states, leading to more diffuse lone pairs and less distorted structures.¹⁸⁵

Much like the PJTE, predicting the occurrence of LP stereoactivity for a given composition/structure requires consideration of orbital energy, symmetry and spatial overlap, thus eludes simple crystal-chemical principles; however, trends may be derived to maximize the probability of observing this phenomenon in new syntheses where full composition and/or structure is not known a priori. Trends in atomic orbital energy are particularly relevant in this regard. DFT calculations for a series of simple oxides have shown that the energy of the O 2p state cuts in-between that of the s state of group 13 metals for periods 5 and 6 in way that leaves mixing with In⁺ (group 14) unfavorable and Tl⁺ (group 15) marginally favorable.^182,186 Mixing becomes more favorable with increasing group number along these periods (i.e. with decreasing energy of the metal s state), making group 14 and 15 cations (Sn²⁺/Sb³⁺ and Pb²⁺/Bi³⁺, bar relativistic effects) most susceptible to stereoactive lone-pair formation when bonded to O²⁻. By this principle, the relatively higher-energy s state of period 4 p-block elements may be inferred to require further decrease in energy to best mix with the O 2p orbitals, thus making group 15 and 16 most prone to LP stereoactivity (particularly As³⁺) for this period. Such propositions are in-line with the results of the bond-length dispersion analysis of Gagné & Hawthorne for non-metals⁷⁰ and metalloids/post-transition metals.⁷¹

Considering that the 2p states of N are slightly more energetic than those of O (due to its lower electronegativity), we presume that LP stereoactivity may be possible for cations with higher-energy states such as In⁺/Ge²⁺, is most likely for ions Sn²⁺, As³⁺, Sb³⁺ and Se⁴⁺, and is less likely for late-period, higher group elements.

There are unfortunately too few data available to verify this statement; while literature abounds with well-characterized structures containing one or more stereoactive lone pairs for oxides and oxysalts, and to a lesser extent chalcogenides and halides, very few structures have been reported with stereoactive lone-pair electrons when bonded to N³⁻. Presumably, this paucity of data is due to the relatively nascent exploration of (functional) inorganic nitrides. Our dataset contains no data for As³⁺, Se⁴⁺, Sb³⁺, Te⁴⁺ Bi³⁺, or any relevant group 17 cations. Only one coordination polyhedron was recorded for Sn²⁺, in Li(Sn(NH₂)₃) (50467),¹⁸⁷ with three short bonds 2.128, 2.132 and 2.170 Å in length and a stereoactive lone pair occupying the 4^th apex of a tetrahedron. For period 6 ions, eight coordination polyhedra were recorded for Tl⁺ and two for Pb²⁺; in all cases, short bonds are concentrated in one hemisphere, away from the lone pair, while long bonds (if any) are present in the other. Thus, all p-block cations with ns²np⁰ electron configuration are observed with a stereoactive lone-pair in the present dataset, in sharp contrast to oxides and oxysalts; this result is promising for the exploitation of the functional properties resulting from lone-pair stereoactivity in inorganic nitrides. Lone-pair stereoactivity is further observed in coordination complexes for Ge²⁺,¹⁸⁸ and in mixed coordination with Cl⁻ for Se⁴⁺ (ref. 189) and Te⁴⁺,^190,191 showcasing additional opportunities for the solid state.

The ^[4]M⁶⁺ configuration

Earth's remarkable mineral diversity has been attributed to a number of factors spanning geochemical, crystal-chemical and thermodynamic considerations including efficient elemental concentration mechanisms, peculiar electronic behavior for certain elements, mineral stability ranges, etc.^83,192,193 A less-discussed factor enabling mineral diversity is the ability of a (strongly bonded) structural unit to polymerize into a variety of motifs (e.g. as oligomers, chains, rings, clusters, sheets, frameworks) inter-linked via weakly bonded constituents. This concept is best illustrated for silicate minerals; there are currently 5600+ minerals approved by the International Mineralogical Association, 1550+ of which contain Si and O as essential elements (http://rruff.info/ima/). What are the salient characteristics of the SiO₄ unit that lead to such remarkable diversity? From the valence-sum rule (eqn (2)), we may deduce that the two bonds made by a bridging ^[2]O²⁻ ion are ideally 1 v.u. in strength. Similarly, ^[4]Si⁴⁺ ideally makes four bonds 1 v.u. in strength. With the bond-valence requirements of ^[4]Si⁴⁺ perfectly matching those of ^[2]O²⁻ (see the valence-matching principle, above), the SiO₄ unit freely polymerizes via one, two, three or four corners in a theoretically infinite number of motifs, leading to a remarkably stable and diverse class of minerals that accounts for ∼90% of Earth's crustal composition by volume.¹⁹⁴ In inorganic nitrides, the analogous bond-valence requirements for a bridging ^[2]N³⁻ anion are 2 × 1.5 v.u.; thus, hexavalent cations are required for polymerization of corner-sharing tetrahedra to result in proliferation of structural motifs (i.e. 4 × 1.5. v.u. = 6 v.u.), hence the significance of the ^[4]M⁶⁺ configuration in inorganic nitrides (Fig. 6).

Porous materials (e.g. zeolites) are an important class of functional materials for which corner-sharing polymerization of the M⁶⁺N₄ unit shows promise for exploratory synthesis. Zeolites are known for their remarkable catalytic and sorption characteristics,^195,196 offering the ability to carry and optimize specific reactions via partial substitution of the cations making up the structural unit according to their Lewis acidity (Table 1).¹⁹⁷ Although framework structures based on the M⁶⁺N₄ unit have been synthesized,¹⁹⁸ successful incorporation of N³⁻ as the major anion in a zeolite structure has so far only been achieved in the presence of stoichiometric oxygen for oxynitridophosphates (in NPO¹⁹⁹ and NPT²⁰⁰), and otherwise for zeolite-like (pore-less) nitridophosphates²⁰¹ and nitridosilicates.²⁰² Interestingly, framework structures based on the M⁶⁺N₄ units may exhibit further interesting properties as a result of the pseudo Jahn–Teller effect for d⁰ transition metals such as Mo⁶⁺ and W⁶⁺ (e.g. ferroelectricity, ferromagnetism, piezoelectricity, magnetic-dielectric bistability; see above), thus possibly providing external control on molecular selectivity for catalytic reactions and adsorption/desorption processes.

Polymerization of the M⁶⁺N₄ unit also shows promise for the synthesis of ultrahard materials. The hardness of inorganic nitrides is known to be intimately linked to their bond strength;^203,204 for example, the hardness of cubic BN (boron nitride), where all bonds are 0.75 v.u. in strength, is only slightly lesser than that of diamond (with bulk modulus 400 vs. 440 GPA, respectively).^205,206 Notwithstanding synthetic feats, the synthesis of M⁶⁺N₂ nitrides with bonds 1.5. v.u. in strength (e.g. Mo⁶⁺N₂ and W⁶⁺N₂, analogous to SiO₂) could lead to new ultrahard materials and ultra-wide-band-gap semiconductors. In addition to their refractory nature, the characteristically high hardness of inorganic nitrides has already been applied to the development of reinforced cements and concretes for different forms of BN.^207,208

We observe five ions with ^[4]M⁶⁺ configuration in our dataset: S⁶⁺, Cr⁶⁺, Se⁶⁺, Mo⁶⁺ and W⁶⁺. Both the ^[4]S⁶⁺ and ^[4]Se⁶⁺ configurations are only observed in oxynitrides thus far, either as [M⁶⁺O₂N₂]⁴⁻ or [M⁶⁺O₃N]³⁻, while the [Cr⁶⁺N₄]⁶⁻ unit has yet to be observed as a product of polymerization. More interesting is the [WN₄]⁶⁻ unit, which is observed to polymerize into dimers in LiBa₄[W₂⁶⁺N₇] (74823),¹⁶⁷ 6-membered rings in K₁₄W₆⁶⁺N₁₆NH (75033),²⁰⁹ chains in Na₅X[(W⁶⁺N₃)₂] with X = Rb⁺ or Cs⁺ (55534),²¹⁰ sheets in Na₂K₁₃[W₇⁶⁺N₁₉] (81764)²¹¹ and into a framework structure in Cs₅[Na(W₄⁶⁺N₁₀)] (50002).²¹² Fewer works have studied the polymerization of the [MoN₄]⁶⁻ unit; dimers have been described in LiBa₄[Mo₂⁶⁺N₇]·BaCl₂ (72400)²¹³ and in LiBa₄[Mo₂⁶⁺N₇] (74822).¹⁶⁷ Evidently, much of the potential of the ^[4]M⁶⁺ configuration in inorganic nitrides lies ahead.

Conclusion

Following several decades of progressive syntheses primarily driven by new and improved methods of preparation, inorganic nitrides recently matured into a thriving class of inorganic solids with a promising set of functional properties akin to oxide and oxysalt compounds. This work uses structure–property relationships to identify some of the most promising uncharted compositional spaces for inorganic nitrides bearing functional properties, and further provides basic, universal parameters helpful to the verification of high-throughput computational results and the design and characterization of nitrides sensu lato.

Whereby chemical-bonding insight gained in the bulk carries well into the study of the local scale, an immediate opportunity enabled by the crystal-chemical data and analyses provided herein regards the study of point defects in semiconductors, more precisely, the (bottleneck) activation of their useful properties via extrinsic doping. Considering that doping success typically relies on comfortable substitutional incorporation of foreign ions into the host crystal structure, a logical next step may be to use the data and insight provided herein as stepping stones toward an atomistic understanding of the factors underlying ion substitution in solids – a problem whose solution would fast-track the development of next-generation solar cells, battery materials, electronics, and the many more semiconductor-based technologies we've come to depend on.

Further developments for this class of compounds will surely follow from strong symbiosis between theoretical, synthetic and computational chemists by way of identifying, understanding, and exploiting the structural underpinnings of their functional properties and energetics.

Notes

Relevant ICSD codes included in parentheses in text.

Funding sources

This work was supported by a Banting post-doctoral fellowship from the Natural Sciences and Engineering Research Council of Canada, and a Carnegie post-doctoral fellowship from the Carnegie Institution for Science to OCG.

Conflicts of interest

There are no conflicts to declare.

Supplementary Material

SC-012-D0SC06028C-s001

SC-012-D0SC06028C-s001.pdf^{(223.8KB, pdf)}

^†

Electronic supplementary information (ESI) available: Method for deriving and verifying bond-valence parameters and two tables cited in text (Tables S1 and S2) listing structures used in anion bond-valence sum verification and a priori bond valences of selected crystal structures. See DOI: 10.1039/d0sc06028c

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On the crystal chemistry of inorganic nitrides: crystal-chemical parameters, bonding behavior, and opportunities in the exploration of their compositional space†

Olivier C Gagné

Abstract

Introduction

Dataset

Lewis acid strengths (Sa) and bond-valence parameters (Ro, B) for cations bonded to N3−.

Bond-length statistics for cations bonded to N3−.

Derivation of bond-valence parameters

Comparison to O2− bond-valence parameters

Comparison with published bond-valence parameters

On deriving bond-valence parameters

Derivation of Lewis acid strengths

Correlation with ionization energy

Fig. 1. Relation between Lewis acid strength (v.u.) as a function of the nth ionization energy of the cation (kJ mol−1). Yellow triangles account for less than 10 coordination polyhedra; best fit equation for n ≥ 10 is given in text.

Bond-length variation

Anomalous bond-length distributions

Fig. 2. Bond-length distributions for selected ion configurations bonded to N3−: (a) [4]Li+, (b) [2]C4+, (c) [3]C4+, (d) [6]Na+, (e) [4]Si4+, (f) [4]P5+, (g) [6]K+, (h) [6]Co3+, (i) [8]Rb+, (j) [7]Ba2+, (k) [4]W6+.

Fig. 3. Unequal distribution of bond valences required by the valence-sum rule, shown for a corner-sharing dimer (3 v.u. for N3−, green; 5 v.u. for P5+, orange); even distribution of bond valences (4 × 1.25 v.u.) would leave the bridging [2]N3− ion under-bonded by 0.5 v.u.

Opportunities for bulk exploratory synthesis

On the exploration of new compositional spaces

New compositional spaces for the exploratory synthesis of inorganic nitrides

Promising ions for the exploratory synthesis of functional inorganic nitrides and comparison to their oxide counterparts.

Multiple-bond formation

Fig. 4. Distribution of bond valences for all transition-metal configurations observed in (a) this work, (b) the dataset of Gagné & Hawthorne for transition metals bonded to O2−.

Coupled electronic-vibrational degeneracy: the Jahn–Teller effect

Fig. 5. Effect of bond-topological and electronic effects on polyhedral distortion for the Cu2+N6 octahedron in K2CuFe(CN)6. All values are in valence units.

Coupled electronic-vibrational near-degeneracy: the pseudo Jahn–Teller effect

Comparison of mean bond-length ranges for PJTE-active cations bonded to N3−vs. O2−.

Lone-pair stereoactivity

The [4]M6+ configuration

Fig. 6. Comparison of the bond-valence constraints between polymerization units [SiO4]4− and [M6+N4]6−; in addition to matching the prolific potential for polymerization of silicate minerals, [4]M6+ nitridometalates necessarily form harder compounds, and may be tuned via external factors.

Conclusion

Notes

Funding sources

Conflicts of interest

Supplementary Material

References

Associated Data

Supplementary Materials

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On the crystal chemistry of inorganic nitrides: crystal-chemical parameters, bonding behavior, and opportunities in the exploration of their compositional space^†

Lewis acid strengths (S_a) and bond-valence parameters (R_o, B) for cations bonded to N³⁻.

Bond-length statistics for cations bonded to N³⁻.

Comparison to O²⁻ bond-valence parameters

Fig. 1. Relation between Lewis acid strength (v.u.) as a function of the n^th ionization energy of the cation (kJ mol⁻¹). Yellow triangles account for less than 10 coordination polyhedra; best fit equation for n ≥ 10 is given in text.

Fig. 2. Bond-length distributions for selected ion configurations bonded to N³⁻: (a) ^[4]Li⁺, (b) ^[2]C⁴⁺, (c) ^[3]C⁴⁺, (d) ^[6]Na⁺, (e) ^[4]Si⁴⁺, (f) ^[4]P⁵⁺, (g) ^[6]K⁺, (h) ^[6]Co³⁺, (i) ^[8]Rb⁺, (j) ^[7]Ba²⁺, (k) ^[4]W⁶⁺.

Fig. 3. Unequal distribution of bond valences required by the valence-sum rule, shown for a corner-sharing dimer (3 v.u. for N³⁻, green; 5 v.u. for P⁵⁺, orange); even distribution of bond valences (4 × 1.25 v.u.) would leave the bridging ^[2]N³⁻ ion under-bonded by 0.5 v.u.

Fig. 4. Distribution of bond valences for all transition-metal configurations observed in (a) this work, (b) the dataset of Gagné & Hawthorne for transition metals bonded to O²⁻.

Fig. 5. Effect of bond-topological and electronic effects on polyhedral distortion for the Cu²⁺N₆ octahedron in K₂CuFe(CN)₆. All values are in valence units.

Comparison of mean bond-length ranges for PJTE-active cations bonded to N³⁻vs. O²⁻.

The ^[4]M⁶⁺ configuration