Skip to main content
ACS AuthorChoice logoLink to ACS AuthorChoice
. 2023 May 9;23(6):4262–4272. doi: 10.1021/acs.cgd.3c00066

Structure-Related Evolution of Magnetic Order in Anisidinium Tetrachlorocuprates(II)

Edi Topić , Pavla Šenjug , Dario Barišić , Ivor Lončarić §, Damir Pajić ‡,*, Mirta Rubčić †,*
PMCID: PMC10251751  PMID: 37304397

Abstract

graphic file with name cg3c00066_0012.jpg

Tetrachlorocuprate(II) hybrids of the three anisidine isomers (ortho-, meta-, and para-, or 2-, 3-, and 4-methoxyaniline, respectively) were prepared and studied in the solid state via X-ray diffraction and magnetization measurements. Depending on the position of the methoxy group of the organic cation, and subsequently, the overall cation geometry, a layered, defective layered, and the structure comprising discrete tetrachlorocuprate(II) units were obtained for the para-, meta-, and ortho-anisidinium hybrids, respectively. In the case of layered and defective layered structures, this affords quasi-2D-layered magnets, demonstrating a complex interplay of strong and weak magnetic interactions that lead to the long-range ferromagnetic (FM) order. In the case of the structure with discrete CuCl42– ions, a peculiar antiferromagnetic (AFM) behavior was revealed. The structural and electronic origins of magnetism are discussed in detail. To supplement it, the method for calculation of dimensionality of the inorganic framework as a function of interaction length was developed. The same was used to discriminate between n-dimensional and “almost” n-dimensional frameworks, to estimate the organic cation geometry limits for layered halometallates, and to provide additional reasoning behind the observed relation between cation geometry and framework dimensionality, as well as their relation to differences in magnetic behavior.

Short abstract

Structural and magnetic consequences of organic cation geometry are evaluated on a series of hybrid organic−inorganic tetrachlorocuprates(II).

Introduction

In recent years, hybrid organic–inorganic halometallates (HOIHs) have been the protagonists of many cutting-edge studies, ranging from those in the field of optoelectronics to the ones related to complex spintronic nanodevices.17 Benefits of the HOIH materials with respect to multifunctional but compositionally isotropic ones, such as graphene or MoS2, evolve from the fact that HOIHs unify two intertwined sublattices, i.e., organic and inorganic ones, typically only weakly coupled through hydrogen bonding and electrostatic interactions. Each sublattice has its own features; while the inorganic one can give rise to, e.g., magnetic order,8,9 organic one can be electrically ordered,1013 and if simultaneously achieved, the two can result in materials with multiple orders.1417 By the proper choice of the building blocks (organic cations, metal cations, and halide anions), diverse structures can be achieved, depending on the spatial arrangement of the halometallate units: three-dimensional (3D), two-dimensional (2D), one-dimensional (1D), and zero-dimensional (0D) structures, each having unique properties with a palpable potential for different applications.1820

The most developed class of HOIHs is 3D ones having the general formula ABX3 (A+ = organic cation; B2+ = inorganic cation; X = halogen atom), with their structures consisting of a 3D framework of corner-sharing metal halide octahedra, where A+ cations are anchored in the framework voids. However, following Goldschmidt’s rule, only cations of an appropriate size can populate such voids and stabilize the resulting assembly, making structural and compositional prospects within this subclass of HOIHs limited.21 In contrast, low-dimensional (2D, 1D, and 0D) HOIHs are geometrically less restricted and offer wide compositional and structural prospects for tailoring functional materials. Subsequently, low-dimensional HOIHs are increasingly emerging as a promising class of multifunctional materials, replacing their compositionally and structurally constrained 3D relatives.2226

Low-dimensional HOIHs in the context of magnetism show immense potential.2730 For example, it was recognized that the incorporation of different organic cations or halogen ions in 2D HOIHs will yield different, and in most cases, anisotropic magnetic coupling strengths, resulting in complex magnetic ground states, and potentially nonlinear responses to external stimuli.3133 Moreover, phenomena such as chiral ferromagnetism or multiferroicity have been demonstrated for several 2D HOIHs,3437 which open novel applicative promises for these materials, as well as approaches toward the understanding of fundamental questions of magnetic order in (quasi)two-dimensional systems. However, to be able to truly understand the consequences of structural features on the magnetic properties of the material, it is of paramount importance to isolate and understand which structural parameters are responsible for particular magnetic interactions. Such knowledge should enable in return the development of targeted magnetic HOIHs through judicious selection of organic and inorganic building blocks which can deliver desired geometrical features. One of the significant contributions in this context offers the 2D Perovskites Database38 that compares a selection of geometrical parameters for 2D HOIHs and related structures with a limited set of properties (optical and electrical). Another important contribution to the structural systematics of 2D HOIHs is given by McNulty and Lightfoot for an extensive set of haloplumbate hybrids.39 However, little information is given regarding the organic cation geometry and how it relates to the geometry of the overall assembly, for which we believe is essential for the future development of materials of this type. Another interesting and quite promising approach utilizes machine learning to predict the possibility of forming 2D HOIH from a set of organic amines.40 This approach surely can answer how to make a 2D HOIH, but not necessarily why does the particular organic component construct a specific framework.

Herein, we report a detailed study focusing on the relation between the structure and magnetism in a series of low-dimensional tetrachlorocuprate(II) HOIHs based on the anisidine isomers. Namely, we examine the impact of the geometrical parameters of the building blocks on the dimensionality of the structure and the resulting magnetic behavior. Finally, we present a simple geometrical model connecting the organic cation geometry with the expected dimensionality of the inorganic framework.

Experimental Section

Synthesis of Compounds

1 mmol (123 mg) of ortho-anisidine or para-anisidine free base (sourced from Sigma-Aldrich) was slowly added to a solution of 5 mmol (852 mg) of copper chloride dihydrate (Kemika, Croatia) in 6 mL of 2 M hydrochloric acid. Upon standing (usually within a week) at room temperature, single crystals of (o-A)2CuCl4 or (p-A)2CuCl4 precipitate out of the solution. Crystals were isolated by filtration, dried, and stored under dry conditions.

Crystallization attempts for (m-A)2CuCl4 under the abovementioned conditions yielded also single crystals of partially chlorinated compound ((m-A*)2CuCl4, 4-chloro-3-methoxyanilinium tetrachlorocuprate; structural details are presented in the Supporting Information, Table S1), likely due to very high nucleophilicity of the 4-position on the m-anisidinium cation, and the interaction with atmospheric/dissolved oxygen. The tendency of partial chlorination appears to be so high, that the pure nonchlorinated (m-A)2CuCl4 could be obtained only as a microcrystalline powder from fast crystallization experiment, which was conducted by using 2 mL of concentrated hydrochloric acid instead of 6 mL of 2 M hydrochloric acid. Upon addition of m-anisidine to copper chloride/hydrochloric acid solution, (m-A)2CuCl4 precipitated and was immediately isolated using vacuum filtration and thoroughly dried and stored under dry conditions.

All three compounds are bench-stable once isolated.

Thermogravimetric Analysis and FTIR Spectroscopy

Thermogravimetric (TG) analysis was carried out with a Mettler-Toledo TGA/SDTA851e thermobalance using aluminum crucibles. All experiments were performed in a dynamic oxygen atmosphere with a flow rate of 200 cm3 min–1. Heating rates of 5 K min–1 were used for all investigations. ATR (attenuated total reflectance) Fourier Transform Infrared spectra (FT-IR) were collected with a Perkin-Elmer Spectrum Two spectrophotometer in the spectral range 4500–450 cm–1. Results of the analysis were used for identification purposes and to assess thermal stability and are listed in Supporting Information, Figures S1–S4.

Single-Crystal X-ray Diffraction (SC-XRD)

Experimental data and the results of structural model refinement are presented in Supporting Information, Table S1 (for (m-A*)2CuCl4) and Table S2 (for (o-A)2CuCl4 and (p-A)2CuCl4), and the most important geometrical parameters of the crystal structure are listed in Table 1. The data for all structures were collected via ω-scans on an Oxford Xcalibur diffractometer equipped with a 4-circle kappa geometry goniometer, CCD Sapphire 3 detector, and graphite-monochromated Mo Kα radiation (λ = 0.71073 Å) at 298(2) K. The data processing was performed using the CrysAlisPro software package.41 The structures were solved with dual space methods using SHELXT.42 The refinement procedure by full-matrix least-squares methods based on F2 values against all reflections included anisotropic displacement parameters for all non-H atoms. Hydrogen atoms attached to carbons were placed in geometrically idealized positions and were refined using the riding model with Uiso = 1.2Ueq of the connected carbon atom or as ideal CH3 groups with Uiso = 1.5Ueq. Hydrogen atoms attached to heteroatoms were located in difference Fourier maps at the final stages of the refinement procedure. Their coordinates were refined freely but with restrained N–H distances of 0.86(2) Å. All refinements were performed using SHELXL.43 The SHELX programs operated within the Olex2 suite.44 Geometrical calculations and molecular graphics were done with Vesta.45 CCDC 22329242232927 contain the supplementary crystallographic data for this paper. These data can be obtained free of charge via http://www.ccdc.cam.ac.uk/conts/retrieving.html (or from the Cambridge Crystallographic Data Centre, 12, Union Road, Cambridge CB2 1EZ, UK; fax: +44 1223 336033).

Table 1. Selected Structural and Geometrical Parameters of Crystal Structuresa.

graphic file with name cg3c00066_0011.jpg

a

Standard deviations of parameters obtained from Rietveld refinement are dependent on the number of simultaneously refined parameters and are usually underestimated.

Powder X-ray Diffraction (PXRD)

PXRD analyses of bulk (o-A)2CuCl4 and (p-A)2CuCl4 samples were performed on a Panalytical Aeris diffractometer in the Bragg–Brentano mode (Supporting Information, Figure S5).

The structural model of (m-A)2CuCl4 was elucidated from X-ray powder diffraction data collected on a Panalytical Empyrean diffractometer equipped with monochromated (Ge⟨111⟩) Cu Kα1 source and a PixCEL HPC detector in the capillary transmission mode. Indexing of the diffraction peaks was done using the N-TREOR program operating in EXPO2014 software.46 Rietveld refinement was done in TOPAS Academic software v.5.47 Background scattering intensities were modeled using the Chebyshev function over the whole measured 2θ range. Instrument-related and sample-related peak convolution parameters were refined using the fundamental parameters approach coupled with le Bail refinement.48 The crystal structure of (m-A*)2CuCl4, with chlorine atoms removed was expanded to the P21/c subgroup and linearly transformed to a unit cell found by indexation of (m-A)2CuCl4 powder data. The resulting structure was optimized with periodic density functional theory (pDFT) and used as a starting model and as input regarding fragment constraints. The pDFT calculations were performed using PBE + D3 exchange–correlation functional and medium SG15 basis set as implemented in QuantumATK.49 Positions and orientations of two symmetrically independent rigid fragments of meta-anisidinum cations and one square-planar tetrachlorocuprate anion were found using a simulated annealing algorithm. Additionally, three independent isotropic displacement parameters were assigned to copper atoms, chlorine atoms, and nonhydrogen atoms of organic fragments, respectively. Displacement parameters of hydrogen atoms were fixed at 1.5 and 1.2 times higher than those of parent carbon and nitrogen atoms, respectively. Powder data showed significant anisotropic peak broadening, which were modeled by the spherical harmonics approach,50 Stephens hkl-dependent peak width approach,51 and with stacking faults along the c-direction, with the first two approaches giving almost the same results, and the stacking fault approach giving an inferior fit. Nevertheless, all three results indicate the presence of defects perpendicular to inorganic layers. Detailed results of fits are presented in Supporting Information, Figures S6–S9 and Table S3, and the final stage input files for refinement in TOPAS can be found in Supporting Information, section Powder X-ray diffraction—TOPAS input files.

Magnetic Measurements

Magnetization measurements were performed on the powders of (o-A)2CuCl4, (m-A)2CuCl4, and (p-A)2CuCl4 using a SQUID MPMS 5 magnetometer. The temperature dependence of static magnetization was measured two times from 2 to 300 K, first when the sample was cooled in the zero field and measured while heating in the applied field (ZFC curve). After that, the sample was cooled down in the same applied field and again measured while heating (FC curve). The field dependence of isothermal magnetization was measured at constant temperatures in fields up to 50 kOe.

Results and Discussion

Anisidine (methoxyaniline) has three constitutional isomers: ortho-, meta-, and para-anisidine, or 2-, 3-, and 4-methoxyaniline, respectively. Anisidine isomers, as well as their cations, have significantly different geometries (Figure 1). Due to the relatively bulky nature of the methoxy group compared to the total size of the molecules/cations, it is anticipated that efficiency in crystal packing will increase from ortho-anisidinium to para-anisidinium salts. On the other hand, the electron-donating property of the methoxy group coupled with an already electron-rich anilinium ring modulates the electronic structure of the cations depending on the relative position of the ancillary group (Figure 1). Thus, it can be expected that materials derived from anisidinium isomers will not only have significantly different crystal structures but will likely have different magnetic ordering as well. To explore this scenario, tetrachlorocuprate(II) salts of the three anisidine isomers were prepared by crystallization from an aqueous solution containing anisidine, copper chloride, and hydrochloric acid in a molar ratio of 1:5:10, respectively.

Figure 1.

Figure 1

Structural formula, HOMO and LUMO isosurface, and aspect ratios (ARs) of three structural isomers of anisidinium cation, presenting differences in geometrical and electronic structures. Isosurfaces were generated using Tonto quantum chemistry package52 (B3LYP/G6311(d,p)). The aspect ratio was calculated for van der Waals bounding box major face.

The appearance of the crystals of the three synthesized compounds was the first indication of their diverse underlying structures. Namely, ortho-anisidinium tetrachlorocuprate(II) ((o-A)2CuCl4) crystallizes in the form of dark green prisms, meta-anisidinium one ((m-A)2CuCl4) as thin light green prisms, and para-anisidinium ((p-A)2CuCl4) in the form of gold leafy plates (Table 1).

The inorganic framework of the (o-A)2CuCl4 crystal structure comprises discrete tetrachlorocuprate(II) anions positioned at the unit cell vertices and in its center, while the rest of the space is filled by ortho-anisidinium cations. The CuCl42– anion is planar and centrosymmetric with respect to the copper ion, but the distances between the copper ion and two symmetrically nonequivalent chlorine ions differ in length by about 1% (Table 1). In the structures that contain the discrete CuCl42– units, such units are more commonly found in a tetrahedral geometry than the square-planar one. However, there are several examples where the CuCl42– units display square-planar geometry, the most relevant being those built from substituted aminopyridinium cations.5457 In this structure, one observes relatively short hydrogen bonds formed by the ammonium group of the organic cation and the chlorides of the tetrachlorocuprate(II) units. The distance between the neighboring magnetically active ions is relatively large (approximately 7.6 Å) in all directions, suggesting that magnetic coupling will be very weak or nonexistent (Table 1).

In contrast to (o-A)2CuCl4, the structures of (m-A)2CuCl4 and (p-A)2CuCl4 can be described as layered (Figure 2), since the distances between copper ions are significantly smaller in two directions (about 5.5 Å) than in the third (>15 Å). Neighboring tetrachlorocuprate(II) ions are rotated by 90° along the direction perpendicular to the formed chlorocuprate(II) planes, so the environment of the copper ion can be described as a highly deformed octahedral (Table 1, parameter Δ; Figure 2). Thus, the inorganic framework can be perceived as consisting of layers of chlorocuprate(II) units, with the deformed octahedral geometry, connected through their vertices. The equatorial planes of the distorted octahedra are not parallel to the base of the unit cell, so the octahedra are tilted in a zigzag fashion (Figure 2).58 The potential reason for observing this type of assembly in (m-A)2CuCl4 and (p-A)2CuCl4 as opposed to (o-A)2CuCl4 seemingly stems from the more efficient packaging of organic cations in bilayers due to the more elongated cation geometry (Figure 1, parameter AR). The inorganic framework of the (m-A)2CuCl4 comprises a slightly less dense tetrachlorocuprate plane (with a larger distance within the plane, Table 1, dip) but with a smaller distance between the planes (Table 1, doop), while the (p-A)2CuCl4 forms a denser inorganic plane with a larger gap between the layers. Another important feature of the (m-A)2CuCl4 is the presence of structural defects, as evidenced by asymmetric peak broadening (for details see Experimental Section and the Supporting Information). This is manifested through slight distortion of periodicity in the ab plane, i.e., inorganic planes are not stacked perfectly. From these geometric findings, it can be expected that the coupling between the magnetic ions in the plane will be the strongest in the (p-A)2CuCl4, while the coupling between the planes in (m-A)2CuCl4 and (p-A)2CuCl4 is not predictable due to the complex interplay between the factors determined by packing, distance, relative positions in space, etc. However, it can be expected that the nature of the magnetic order in (m-A)2CuCl4 will be influenced by the distorted periodicity.

Figure 2.

Figure 2

Crystal packing in (a) (o-A)2CuCl4, (b) (m-A)2CuCl4, and (c) (p-A)2CuCl4 shown along the crystallographic b axis (top) and the crystallographic c axis (bottom). In (a) and (c), atoms are shown as displacement ellipsoids at 50% probability. In (b), atoms are shown as spheres of arbitrary radii.

Magnetic interactions and thereby the magnetic behavior for the three compounds were shown to depend greatly on the structure and geometrical parameters. Figure 3 shows the temperature dependence of magnetization in the fields of 1 kOe and 10 Oe (inset). The (p-A)2CuCl4 and (m-A)2CuCl4 show a ferromagnetic-like behavior below the transition temperature (Tc) of 9.6 and 4.2 K, respectively, while the (o-A)2CuCl4, comprising the discrete CuCl42– units, follows closely the Curie–Weiss law in almost the whole temperature range (Figure 4). The Curie–Weiss fit on the reciprocal susceptibility at high temperatures (Figure 4) gives the g-factors in the range of 2.12–2.19, which corresponds well to the values found in the literature for the Cu2+ ion, and the Weiss parameter (θ) of 28.7(4), 15.0(2), and −2.8(2) K for the p-, m-, and (o-A)2CuCl4, respectively. The trend in the Weiss parameters is consistent with the trend of the transition temperatures, with higher θ for the (p-A)2CuCl4 and lower θ for the (m-A)2CuCl4. However, the discrepancies between the ordering temperatures and Weiss parameters, as well as deviation from the Curie–Weiss law well above Tc (Figure 4, inset) point to the low dimensional nature of magnetic order for (m-A)2CuCl4 and (p-A)2CuCl4. This is typically observed for such quasi-two-dimensional magnetic systems and is also consistent, in our case, with the crystal structures. Considering the dominance of magnetic interactions within the chlorocuprate(II) layers between the four nearest neighbors in (m-A)2CuCl4 and (p-A)2CuCl4, the obtained values of Weiss parameters are a good approximation for the super-exchange J parameters between the Cu2+ ions. The in-plane ferromagnetic interaction can be explained by considering the orbitals. The Cu2+ ions in the elongated octahedral geometry have an unpaired electron in the dx2 – y2 orbital, and the structure is such that the elongations of the neighboring in-plane octahedra are mutually perpendicular, forming the so-called antiferrodistortive pattern (Supporting Information, Figure S10). This leads to the orthogonal half-filled orbitals and, considering the Goodenough–Kanamori rules, the interaction should be ferromagnetic. Such an ordering is often found in the copper(II)-layered HOIHs.28,33,59,60 It can be noted that in (m-A)2CuCl4, the angle ∠Cu–X3–Cu (157.46°) is further from the 180° than in (p-A)2CuCl4 (163.88°) which could imply the lower contribution of the antiferromagnetic term in the super-exchange between the nonorthogonal orbitals in (m-A)2CuCl4. However, this cannot be simply connected to the total super-exchange which depends also on the distance between the metal ions and the halogen bridge which definitely prevails in the observed increase of the ferromagnetic super-exchange in (p-A)2CuCl4. Crucial for the observed efficient ferromagnetic exchange is that the longer metal–halogen distance is arranged in the antiferrodistortive pattern, providing the necessary orbital orthogonality.

Figure 3.

Figure 3

Temperature dependence of magnetization for (p-A)2CuCl4 (black dots), (m-A)2CuCl4 (red rectangles), and (o-A)2CuCl4 (blue diamonds) in the magnetic field of 1 kOe, and 10 Oe (inset: empty symbols—ZFC, full symbols—FC). The magnetization of (o-A)2CuCl4 was multiplied by factor 20 in H = 1 kOe and 100 in H = 10 Oe.

Figure 4.

Figure 4

Curie–Weiss fit on the temperature dependence of reciprocal susceptibility of (p-A)2CuCl4 (black dots), (m-A)2CuCl4 (red rectangles), and (o-A)2CuCl4 (blue diamonds) in the magnetic field of 1 kOe. Inset: zoom for the lowest temperatures, showing a deviation from the Curie–Weiss law at temperatures much higher than Tc for (m-A)2CuCl4 and (p-A)2CuCl4.

The M(H) curves of (p-A)2CuCl4 and (m-A)2CuCl4 shown in Figure 5 are typical soft ferromagnetic hysteresis with saturation values corresponding to a 1 Cu2+ ion per formula unit. The negligible coercive field and very high slope of the M(H) curve around zero fields support the quasi-two-dimensionality of the systems. Namely, given that magnetic planes are ordered ferromagnetically and reorient as a whole magnetic unit, as well as the fact that much weaker magnetic interaction between the planes allows the easy reorientation of single magnetic planes, there is no pinning which would hinder reorienting so that the reorienting will happen in a relatively weak magnetic field, leading to the observed shape of hysteresis loops.

Figure 5.

Figure 5

Field dependence of magnetization for (p-A)2CuCl4 (black dots), (m-A)2CuCl4 (red rectangles), and (o-A)2CuCl4 (blue diamonds) at temperature 2 K. The cyan line represents the M(H) of a paramagnet with a spin 1/2 and g-factor 2.19 given by the Brillouin function.

The value of θ for (o-A)2CuCl4 is small enough (−2.8 K) that the system can be described as paramagnetic in almost the whole measured temperature range with only small deviations below ∼3 K and presumably a magnetic transition below the measurement temperature limit. The presence of magnetic interactions is more strongly expressed in the field dependence of magnetization. Measured M(H) for (o-A)2CuCl4 at 2 K clearly deviates from the paramagnetic curve given by the Brillouin function as shown in Figure 5 and follows a linear function, often seen in the antiferromagnets. This also indicates the presence of antiferromagnetic (AFM) interactions and a possible AFM phase transition at the temperatures below 2 K. Figure 6 augments the result of the magnetization measurement: the presence of the AFM interactions in the (o-A)2CuCl4, the linear M(H) curves which do not follow the paramagnetic Brillouin function for the temperatures below 5 K, and χT attaining half of its high-temperature value at 2 K (inset). Considering which interaction could give such a behavior, magnetic dipole–dipole interaction can be excluded due to negligible strength (≈10 mK) as a consequence of large Cu–Cu distances and low spin magnitudes. Evaluating the geometry of hydrogen bonds (Supporting Information, Table S4) that connect neighboring square planar CuCl4 units, we have tried to determine whether the 1D AFM chain could be a realistic description of the observed behavior. Fitting the measured data using the Bonner–Fisher model,61 where the Hamiltonian is given by H = – JSiSj, for the AFM chains of Inline graphic, gave the AFM interaction of J = −2.68(5) K. Given some overlap between the anisidinium molecular orbitals exists, the super-exchange interaction could be transferred along other directions and possibly lead to the antiferromagnetic interactions perpendicular to the mentioned chain. The mean-field extension of the used Bonner–Fisher model gave almost the same interactions between the chains as the intra-chain one, but clear conclusions cannot be given due to the lack of lower temperature measurements. This situation is motivating for further research including lower temperatures and ab initio calculations, in order to find out the dimensionality of magnetism and if an exotic magnetic phase exists at very low temperatures. The latter could originate from the competition of weak antiferromagnetic interactions including the hydrogen bond transferred magnetic interaction and super-exchange over the anisidinium molecular orbitals.

Figure 6.

Figure 6

Magnetization measurements for (o-A)2CuCl4. Measured M(H) for different temperatures with respective Brillouin functions (dotted lines). Inset: χT(T) with a Bonner–Fisher fit for the antiferromagnetic (AFM) chains of the spin 1/2.

Comparing the magnetic results with the crystal structure and relevant geometrical parameters, a correlation is found between the bond lengths and bond angles (Table 1), as well as the phase transition temperature and the Weiss parameter. The latter, which gives the mean interaction between one Cu2+ ion and its neighbors, can be taken as an approximation of the strength of in-plane magnetic interactions due to the absence of considerable magnetic interaction between the inorganic planes. Thus, θpara > θmeta indicates weaker in-plane interactions of (m-A)2CuCl4 and is explained through its longer Cu–Cu distances in the inorganic layers than in (p-A)2CuCl4. The lower Tc of the (m-A)2CuCl4 can be comprehended by larger in-plane Cu–Cu distances and higher deformation of Cu–Cl–Cu bridges, and the presence of structural defects. Regarding the long-range magnetic order, these effects surmount the smaller Cu–Cu out-of-plane distance in (m-A)2CuCl4.

Observing such a remarkable difference in structural and magnetic properties between materials based on similar building blocks motivated us to seek a generalized, “chemistry-invariant” reasoning behind it. It is evident that by changing the organic cation geometry one can alter the dimensionality of the inorganic framework, and thus its properties but the relation is not that straightforward. From the material design standpoint, it would be beneficial to know: (1) which organic cations are compatible with a given inorganic framework dimensionality, and inversely, (2) for a given organic cation, what is the expected dimensionality of the inorganic framework. In order to address these questions, it was necessary to set a robust definition of dimensionality that easily differentiates between discrete units and nD frameworks, and, ideally, discerns the “almost” nD frameworks from true nD frameworks. For this purpose, we have developed a method for the calculation of dimensionality as a function of the threshold tn, which is the maximal metal ion–metal ion distance which can build a framework normalized to the expected M–X–M distance (for details, see Supporting Information, section Dimensionality Calculation).

An illustration of dimensionality calculation, for anisidinium tetrachlorocuprates(II) described herein, is given in Figure 7. Based on these results, the (p-A)2CuCl4 inorganic framework can be considered truly two-dimensional, as its dimensionality is close to two even at tn < 1, while its dimensionality becomes close to three only when tn > 3.38. On the other hand, (o-A)2CuCl4 contains discrete subunits which would become a 2D framework for tn > 1.38, or 3D framework for tn > 1.88. Finally, (m-A)2CuCl4 is an intermediate case, which becomes 2D at tn > 1 and 3D at tn > 2.90.

Figure 7.

Figure 7

Dimensionality of anisidinium tetrachlorocuprates as a function of interaction length, i.e., the expected Cu–Cu distance (2ri(Cu) + 2ri(Cl)).

This approach helps to, at least qualitatively, differentiate between a true 2D HOIH (p-A)2CuCl4 and its nearly-2D counterpart (m-A)2CuCl4, and provides additional perspective regarding the significant difference in magnetic order temperature. Although from the magnetic point of view, such systems are quasi-two-dimensional, in the sense that there are stronger ferromagnetic interactions within the planes, and orders of magnitude weaker interaction between the planes, the origin of perpendicular weak magnetic interactions is still not well understood. Nonetheless, as evidenced by the case of (p-A)2CuCl4 and (m-A)2CuCl4, one can perceive the impact of geometrical dimensionality on magnetic behavior. This is additionally supported by the different temperature dependence of magnetization near the phase transition temperature, where (p-A)2CuCl4 has a presumably ferromagnetic transition, while (m-A)2CuCl4 has reminiscence of magnetic frustrations and disorder in the ground state. Moreover, the calculations unveil that the metal centers of (o-A)2CuCl4 form a 3D lattice at much lower interaction lengths than the other two materials. It can be speculated that such a difference in dimensionality vs interaction length would provoke interesting competition between various long-range interactions, albeit at much lower temperatures.

Applying the above methodology, one can calculate dimensionality for already reported structures and examine the geometry of organic cations, which can provide information about the geometrical limits of a particular framework dimensionality. To quantify the geometry of organic cations, we have chosen parameters of the van der Waals bounding box, which are one of the simplest descriptors calculable for any molecule or ion. Details of implementation can be found in Supporting Information, section Bounding Box Calculation. When plotted together, the dimensionality and bounding box parameters show the geometrical limits of organic cation for each dimensionality of the inorganic framework (Figure 8 and Supporting Information, Figure S11). This enables a direct comparison of organic cation dimensions with expected metal–metal distances, thus providing a quantitative answer to the question—what organic cations are compatible with nD HOIH frameworks.

Figure 8.

Figure 8

(a) Definition of organic cation van der Waals bounding box parameters. (b) Organic cation bounding box dimension histograms for 2D HOIHs. Figures represent (from left to right): the average bounding box, major vs minor axis distribution, minor vs minimal axis distribution, and volume distribution. All dimensions are normalized to interaction length, i.e., the expected metal–metal distance (2ri(M) + 2ri(X)).

Structural constraints on organic cations are well known for 3D HOIHs, as they are well established in the context of hybrid perovskites. Apart from an occasional outlier, most of the structures contain an organic cation with a size of less than 1 interaction length (i.e., the expected metal–metal distance, 2ri(M) + 2ri(X)) in all directions, which is expected given that (pseudo)cubic voids in 3D HOIHs will be not much larger than the length of M–X–M moiety. Consequentially, most organic cations are less than 1 interaction length cubed in volume (Supporting Information, Figure S11).

On the other hand, it is apparent that organic cations in 2D HOIHs can be significantly larger, albeit only along the major axis. A lot of examples are known (i.e., long-chain alkylammonium tetrahalometallates) where organic cation is several interaction lengths long (Figure 8). However, the other two dimensions should be such that the cation fits in the space between the four metal centers spanning the lattice base (Supporting Information, Figure S12). In other words, the area of the cation bounding box minimal face should be equal to or less than that of the parallelogram spanned by metal centers, namely one interaction length squared. This is largely supported in observed structures (Figure 9), outlier possibly coming from the overlap of cation bounding boxes in some crystal structures.

Figure 9.

Figure 9

Organic cation bounding box minimal face area distribution for 2D HOIHs. Area is normalized to interaction length, i.e., the expected metal–metal distance (2ri(M) + 2ri(X)).

The constraints for low-dimensional HOIHs are less obvious, in the sense that no strict limits can be found for bounding box dimensions (Supporting Information, Figure S11). However, it can be concluded that 1D, and particularly discrete systems, can accommodate much larger cations than 2D or 3D HOIHs. Finally, our surface-scratching answer to the first question is (1) small cations can build 3D HOIHs, (2) slim cations can build 2D HOIHs, (3) large cations can build 1D HOIHs, and (4) anything can build HOIHs with discrete inorganic ions. Evidently, some chemical information and possibly geometrical information must be included in this reasoning in order to improve it, for instance, the prevalence of primary ammonium cations as building blocks of 2D HOIHs, and the fact that bounding box methodology overestimates the dimensions for some (flexible) organic cations.

Once geometrical limits are established, one can use them to estimate the dimensionality of the HOIH material derived from a particular organic cation. We have calculated the bounding box parameters for anisidinium cations and compared them to the observed geometrical limits for 2D HOIH frameworks (Table 2). Taking into account the distributions of the minor axis, minimal axis, as well as volume and minimal face area, it can be concluded that the chance of observing a 2D inorganic framework is highest for (p-A)2CuCl4 where all of the geometric parameters fall well within the limits expected for 2D HOIHs. On the other hand, for (m-A)2CuCl4, and particularly for (o-A)2CuCl4, the minor axis and minimal face area are slightly above the limits expected for 2D frameworks. Thus, it can be concluded that observation of (1) defects and spin disorder in (m-A)2CuCl4 and (2) discrete CuCl42– units in the structure of (o-A)2CuCl4 can be attributed to (1) slight and (2) severe geometrical incompatibility of 2D CuCl4 layers with bulkier m-A and o-A cations, respectively.

Table 2. Organic Cation Bounding Box (OCBB) Dimensions for Anisidinium Tetrachlorocupratesa.

compound (o-A)2CuCl4 (m-A)2CuCl4 (p-A)2CuCl4
OCBB major axis/int. l. (Å)b 1.696 (9.227) 1.665 (9.060) 1.859 (10.112)
OCBB minor axis/int. l. (Å)c 1.430 (7.781) 1.402 (7.627) 1.223 (6.655)
OCBB minimal axis/int. l. (Å)c 0.735 (4.000) 0.722 (3.928) 0.729 (3.966)
volume/int. l.33)b 1.783 (287.19) 1.686 (271.45) 1.658 (266.94)
minimal face area/int. l.23)d 1.051 (31.12) 1.012 (29.96) 0.892 (26.39)
a

Interaction length is equal to the expected Cu–Cu distance, i.e., 2ri(Cu) + 2ri(Cl) = 5.44 Å.

b

In principle unlimited for 2D HOIHs.

c

No larger than diagonals of parallelogram spanned by metal centers, in this case Inline graphic int. l.

d

No larger than the area of parallelogram spanned by metal centers, in this case 1 int. l.

It must be noted that the abovementioned conclusions depend upon an arbitrary selection of interaction length values, as well as the bounding box calculation method. By extension, the obtained results are a function of selected ionic and van der Waals radii, the quality of crystal structure data, and all the parameters upon which the crystal structure depends on. Thus, the described methodology must be considered only as a naive, one-dimensional starting point in the analysis of HOIH compounds, which could be upgraded for a more complete understanding of these peculiar materials.

Conclusions

Through the elucidation of structural and magnetic features of anisidinium tetrachlorocuprates, we have demonstrated the superficial geometrical limits of 2D HOIH frameworks, and the remarkable divergence of magnetic behavior in the vicinity of those limits. The connectivity of the inorganic framework and the overall strength of magnetic interactions increases as the anisidinium cation becomes more geometrically compatible with the layered inorganic framework. These results demonstrate that regular packing is an important parameter when considering ways of increasing the magnetic ordering temperature, as evidenced by (p-A)2CuCl4 and (m-A)2CuCl4. Namely, both materials have ferromagnetically ordered planes that couple into the long-range magnetic order, but regularly layered (p-A)2CuCl4 has a higher magnetic transition temperature than defective layered (m-A)2CuCl4, despite the larger distance between magnetic planes. On the other side, (o-A)2CuCl4 shows the perspective for the class of HOIHs with discrete MX4 units, by exploiting the antiferromagnetic interactions, which are generally rare in such metal–organic systems, but important for the emergence of interesting phases and phenomena like spin-liquids, multiferroicity, and magnetoelectric coupling. Finally, the consideration of dimensionality presented herein presents a useful first-principles guideline for the design and structural analysis of HOIHs.

Acknowledgments

We thank Prof. Biserka Prugovečki and Dr. Gwilherm Nenert for their help in measurement of high-quality PXRD data. We acknowledge the support of projects CIuK and CeNIKS co-financed by the Croatian Government and the European Union through the European Regional Development Fund—Competitiveness and Cohesion Operational Programme (Grants KK.01.1.1.02.0016 and KK.01.1.1.02.0013).

Supporting Information Available

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.cgd.3c00066.

  • Experimental and crystallographic data for (m-A*)2CuCl4 (Table S1); FTIR spectra (Figure S1); TGA (black) and DTA (red) curves for (o-A)2CuCl4,(m-A)2CuCl4 and (p-A)2CuCl4 (Figures S2–S4); experimental and crystallographic data for prepared compounds (o-A)2CuCl4, (m-A)2CuCl4 and (p-A)2CuCl4 (Table S2); measured (black) and calculated (red) PXRD data (Figure S5); results of Rietveld refinement (Figures S6–S8); sum of spherical harmonics obtained by Rietveld refinement (Figure S9); powder data refinement statistics (Table S3); antiferrodistortive arrangement (Figure S10); hydrogen bond geometry in the crystal structures (Table S4); organic cation bounding box dimension histograms (Figure S11); theoretical limits of the organic cation bounding box (Figure S12) (PDF)

Author Contributions

The manuscript was written through contributions of all authors. All authors have given approval to the final version of the manuscript.

This work was supported by Croatian Science Foundation (project Multiferroic and Magnetoelectric Systems: FerMaEl UIP-2014-09-8276).

The authors declare no competing financial interest.

Supplementary Material

cg3c00066_si_001.pdf (1.9MB, pdf)

References

  1. Babu R.; Giribabu L.; Singh S. P. Recent Advances in Halide-Based Perovskite Crystals and Their Optoelectronic Applications. Cryst. Growth Des. 2018, 18, 2645–2664. 10.1021/acs.cgd.7b01767. [DOI] [Google Scholar]
  2. Kahwagi R. F.; Thornton S. T.; Smith B.; Koleilat G. I. Dimensionality Engineering of Metal Halide Perovskites. Front. Optoelectron. 2020, 13, 196–224. 10.1007/s12200-020-1039-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Wang J.; Zhang C.; Liu H.; McLaughlin R.; Zhai Y.; Vardeny S. R.; Liu X.; McGill S.; Semenov D.; Guo H.; Tsuchikawa R.; Deshpande V. v.; Sun D.; Vardeny Z. V. Spin-Optoelectronic Devices Based on Hybrid Organic-Inorganic Trihalide Perovskites. Nat. Commun. 2019, 10, 129. 10.1038/s41467-018-07952-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Zhai Y.; Baniya S.; Zhang C.; Li J.; Haney P.; Sheng C.-X.; Ehrenfreund E.; Vardeny Z. V. Giant Rashba Splitting in 2D Organic-Inorganic Halide Perovskites Measured by Transient Spectroscopies. Sci. Adv. 2017, 3, e1700704 10.1126/sciadv.1700704. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Zhao X.; Wang S.; Shan X.; Meng G.; Fang X. Fabrications of Halide Perovskite Single-Crystal Slices and Their Applications in Solar Cells, Photodetectors, and LEDs. Cryst. Growth Des. 2021, 21, 5983–5997. 10.1021/acs.cgd.1c00548. [DOI] [Google Scholar]
  6. Privitera A.; Righetto M.; Cacialli F.; Riede M. K. Perspectives of Organic and Perovskite-Based Spintronics. Adv. Opt. Mater. 2021, 9, 2100215 10.1002/adom.202100215. [DOI] [Google Scholar]
  7. Fu Y.; Zhu H.; Chen J.; Hautzinger M. P.; Zhu X.-Y.; Jin S. Metal Halide Perovskite Nanostructures for Optoelectronic Applications and the Study of Physical Properties. Nat. Rev. Mater. 2019, 4, 169–188. 10.1038/s41578-019-0080-9. [DOI] [Google Scholar]
  8. Asensio Y.; Marras S.; Spirito D.; Gobbi M.; Ipatov M.; Casanova F.; Mateo-Alonso A.; Hueso L. E.; Martín-García B. Magnetic Properties of Layered Hybrid Organic-Inorganic Metal-Halide Perovskites: Transition Metal, Organic Cation and Perovskite Phase Effects. Adv. Funct. Mater. 2022, 32, 2207988 10.1002/adfm.202207988. [DOI] [Google Scholar]
  9. Ning W.; Gao F. Structural and Functional Diversity in Lead-Free Halide Perovskite Materials. Adv. Mater. 2019, 31, 1900326 10.1002/adma.201900326. [DOI] [PubMed] [Google Scholar]
  10. Siwach P.; Sikarwar P.; Halpati J. S.; Chandiran A. K. Design of Above-Room-Temperature Ferroelectric Two-Dimensional Layered Halide Perovskites. J. Mater. Chem. A 2022, 10, 8719–8738. 10.1039/D1TA09537D. [DOI] [Google Scholar]
  11. Zheng W.; Wang X.; Zhang X.; Chen B.; Suo H.; Xing Z.; Wang Y.; Wei H.; Chen J.; Guo Y.; Wang F. Emerging Halide Perovskite Ferroelectrics. Adv. Mater. 2023, 2205410 10.1002/adma.202205410. [DOI] [PubMed] [Google Scholar]
  12. Ambrosio F.; de Angelis F.; Goñi A. R. The Ferroelectric–Ferroelastic Debate about Metal Halide Perovskites. J. Phys. Chem. Lett. 2022, 13, 7731–7740. 10.1021/acs.jpclett.2c01945. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Jain P.; Stroppa A.; Nabok D.; Marino A.; Rubano A.; Paparo D.; Matsubara M.; Nakotte H.; Fiebig M.; Picozzi S.; Choi E. S.; Cheetham A. K.; Draxl C.; Dalal N. S.; Zapf V. S. Switchable Electric Polarization and Ferroelectric Domains in a Metal-Organic-Framework. NPJ Quantum Mater. 2016, 1, 16012. 10.1038/npjquantmats.2016.12. [DOI] [Google Scholar]
  14. Spaldin N. A.; Ramesh R. Advances in Magnetoelectric Multiferroics. Nat. Mater. 2019, 18, 203–212. 10.1038/s41563-018-0275-2. [DOI] [PubMed] [Google Scholar]
  15. Eerenstein W.; Mathur N. D.; Scott J. F. Multiferroic and Magnetoelectric Materials. Nature 2006, 442, 759–765. 10.1038/nature05023. [DOI] [PubMed] [Google Scholar]
  16. Cheong S.-W.; Mostovoy M. Multiferroics: A Magnetic Twist for Ferroelectricity. Nat. Mater. 2007, 6, 13–20. 10.1038/nmat1804. [DOI] [PubMed] [Google Scholar]
  17. Stroppa A.; Jain P.; Barone P.; Marsman M.; Perez-Mato J. M.; Cheetham A. K.; Kroto H. W.; Picozzi S. Electric Control of Magnetization and Interplay between Orbital Ordering and Ferroelectricity in a Multiferroic Metal-Organic Framework. Angew. Chem., Int. Ed. 2011, 50, 5847–5850. 10.1002/anie.201101405. [DOI] [PubMed] [Google Scholar]
  18. Zhou C.; Lin H.; He Q.; Xu L.; Worku M.; Chaaban M.; Lee S.; Shi X.; Du M.-H.; Ma B. Low Dimensional Metal Halide Perovskites and Hybrids. Mater. Sci. Eng., R 2019, 137, 38–65. 10.1016/j.mser.2018.12.001. [DOI] [Google Scholar]
  19. Saidaminov M. I.; Mohammed O. F.; Bakr O. M. Low-Dimensional-Networked Metal Halide Perovskites: The Next Big Thing. ACS Energy Lett. 2017, 2, 889–896. 10.1021/acsenergylett.6b00705. [DOI] [Google Scholar]
  20. Lin H.; Zhou C.; Tian Y.; Siegrist T.; Ma B. Low-Dimensional Organometal Halide Perovskites. ACS Energy Lett. 2018, 3, 54–62. 10.1021/acsenergylett.7b00926. [DOI] [Google Scholar]
  21. Burger S.; Ehrenreich M. G.; Kieslich G. Tolerance Factors of Hybrid Organic–Inorganic Perovskites: Recent Improvements and Current State of Research. J. Mater. Chem. A 2018, 6, 21785–21793. 10.1039/C8TA05794J. [DOI] [Google Scholar]
  22. Mao L.; Stoumpos C. C.; Kanatzidis M. G. Two-Dimensional Hybrid Halide Perovskites: Principles and Promises. J. Am. Chem. Soc. 2019, 141, 1171–1190. 10.1021/jacs.8b10851. [DOI] [PubMed] [Google Scholar]
  23. Sun S.; Lu M.; Gao X.; Shi Z.; Bai X.; Yu W. W.; Zhang Y. 0D Perovskites: Unique Properties, Synthesis, and Their Applications. Adv. Sci. 2021, 8, 2102689 10.1002/advs.202102689. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Han Y.; Yue S.; Cui B. Low-Dimensional Metal Halide Perovskite Crystal Materials: Structure Strategies and Luminescence Applications. Adv. Sci. 2021, 8, 2004805 10.1002/advs.202004805. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Wang G.; Mei S.; Liao J.; Wang W.; Tang Y.; Zhang Q.; Tang Z.; Wu B.; Xing G. Advances of Nonlinear Photonics in Low-Dimensional Halide Perovskites. Small 2021, 17, 2100809 10.1002/smll.202100809. [DOI] [PubMed] [Google Scholar]
  26. Wang Y.; Song L.; Chen Y.; Huang W. Emerging New-Generation Photodetectors Based on Low-Dimensional Halide Perovskites. ACS Photonics 2020, 7, 10–28. 10.1021/acsphotonics.9b01233. [DOI] [Google Scholar]
  27. Willett R. D.; Gómez-García C. J.; Twamley B. Long-Range Order in Layered Perovskite Salts – Structure and Magnetic Properties of [(CH3)2CHCH2NH3]2CuX4 (X = Cl, Br). Eur. J. Inorg. Chem. 2012, 2012, 3342–3348. 10.1002/ejic.201101200. [DOI] [Google Scholar]
  28. Sekine T.; Okuno T.; Awaga K. Observation of Spontaneous Magnetization in the Layered Perovskite Ferromagnet, (p -Chloroanilinium)2CuBr4. Inorg. Chem. 1998, 37, 2129–2133. 10.1021/ic970793z. [DOI] [PubMed] [Google Scholar]
  29. Willett R. D.; Gómez-García C. J.; Twamley B. Structure and Magnetic Properties of [(REDA)Cl]2CuCl4 Salts: A New Series of Ferromagnetic Layer Perovskites. Polyhedron 2005, 24, 2293–2298. 10.1016/j.poly.2005.03.077. [DOI] [Google Scholar]
  30. Asaji T. Structural and Magnetic Phase Transitions in (Chloroanilinium)2CuX4 (X = Cl, Br). Appl. Magn. Reson. 2004, 27, 197–205. 10.1007/BF03166314. [DOI] [Google Scholar]
  31. Willett R. D.; Gómez-García C. J.; Twamley B.; Gómez-Coca S.; Ruiz E. Exchange Coupling Mediated by N–H···Cl Hydrogen Bonds: Experimental and Theoretical Study of the Frustrated Magnetic System in Bis(o -Phenylenediamine)Nickel(II) Chloride. Inorg. Chem. 2012, 51, 5487–5493. 10.1021/ic3007124. [DOI] [PubMed] [Google Scholar]
  32. Han C.; Bradford A. J.; McNulty J. A.; Zhang W.; Halasyamani P. S.; Slawin A. M. Z.; Morrison F. D.; Lee S. L.; Lightfoot P. Polarity and Ferromagnetism in Two-Dimensional Hybrid Copper Perovskites with Chlorinated Aromatic Spacers. Chem. Mater. 2022, 34, 2458–2467. 10.1021/acs.chemmater.2c00107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Han C.; McNulty J. A.; Bradford A. J.; Slawin A. M. Z.; Morrison F. D.; Lee S. L.; Lightfoot P. Polar Ferromagnet Induced by Fluorine Positioning in Isomeric Layered Copper Halide Perovskites. Inorg. Chem. 2022, 61, 3230–3239. 10.1021/acs.inorgchem.1c03726. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Šenjug P.; Dragović J.; Kalanj M.; Torić F.; Rubčić M.; Pajić D. Magnetic Behaviour of (C2H5NH3)2CuCl4 Type Multiferroic. J. Magn. Magn. Mater. 2019, 479, 144–148. 10.1016/j.jmmm.2019.02.020. [DOI] [Google Scholar]
  35. Ai Y.; Sun R.; Liao W.; Song X.; Tang Y.; Wang B.; Wang Z.; Gao S.; Xiong R. Unprecedented Ferroelectricity and Ferromagnetism in a Cr2+-Based Two-Dimensional Hybrid Perovskite. Angew. Chem., Int. Ed. 2022, 61, e202206034 10.1002/anie.202206034. [DOI] [PubMed] [Google Scholar]
  36. Gao Y.; Gao M.; Lu Y. Two-Dimensional Multiferroics. Nanoscale 2021, 13, 19324–19340. 10.1039/D1NR06598J. [DOI] [PubMed] [Google Scholar]
  37. Sun B.; Liu X.-F.; Li X.-Y.; Zhang Y.; Shao X.; Yang D.; Zhang H.-L. Two-Dimensional Perovskite Chiral Ferromagnets. Chem. Mater. 2020, 32, 8914–8920. 10.1021/acs.chemmater.0c02729. [DOI] [Google Scholar]
  38. Marchenko E. I.; Fateev S. A.; Petrov A. A.; Korolev V. V.; Mitrofanov A.; Petrov A. V.; Goodilin E. A.; Tarasov A. B. Database of Two-Dimensional Hybrid Perovskite Materials: Open-Access Collection of Crystal Structures, Band Gaps, and Atomic Partial Charges Predicted by Machine Learning. Chem. Mater. 2020, 32, 7383–7388. 10.1021/acs.chemmater.0c02290. [DOI] [Google Scholar]
  39. McNulty J. A.; Lightfoot P. Structural Chemistry of Layered Lead Halide Perovskites Containing Single Octahedral Layers. IUCr J. 2021, 8, 485–513. 10.1107/S2052252521005418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Lyu R.; Moore C. E.; Liu T.; Yu Y.; Wu Y. Predictive Design Model for Low-Dimensional Organic–Inorganic Halide Perovskites Assisted by Machine Learning. J. Am. Chem. Soc. 2021, 143, 12766–12776. 10.1021/jacs.1c05441. [DOI] [PubMed] [Google Scholar]
  41. CrysAlisPro, Agilent Technologies, Version 171.42.49.
  42. Sheldrick G. M. SHELXT – Integrated Space-Group and Crystal-Structure Determination. Acta Crystallogr., Sect. A: Found. Adv. 2015, 71, 3–8. 10.1107/S2053273314026370. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Sheldrick G. M. Crystal Structure Refinement with SHELXL. Acta Crystallogr., Sect. C: Struct. Chem. 2015, 71, 3–8. 10.1107/S2053229614024218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Dolomanov O. v.; Bourhis L. J.; Gildea R. J.; Howard J. A. K.; Puschmann H. OLEX2: A Complete Structure Solution, Refinement and Analysis Program. J. Appl. Crystallogr. 2009, 42, 339–341. 10.1107/S0021889808042726. [DOI] [Google Scholar]
  45. Momma K.; Izumi F. VESTA3 for Three-Dimensional Visualization of Crystal, Volumetric and Morphology Data. J. Appl. Crystallogr. 2011, 44, 1272–1276. 10.1107/S0021889811038970. [DOI] [Google Scholar]
  46. Altomare A.; Cuocci C.; Giacovazzo C.; Moliterni A.; Rizzi R.; Corriero N.; Falcicchio A. EXPO2013: A Kit of Tools for Phasing Crystal Structures from Powder Data. J. Appl. Crystallogr. 2013, 46, 1231–1235. 10.1107/S0021889813013113. [DOI] [Google Scholar]
  47. Evans J. S. O. Advanced Input Files & Parametric Quantitative Analysis Using Topas. Mater. Sci. Forum 2010, 651, 1–9. 10.4028/www.scientific.net/MSF.651.1. [DOI] [Google Scholar]
  48. Cheary R. W.; Coelho A. A Fundamental Parameters Approach to X-Ray Line-Profile Fitting. J. Appl. Crystallogr. 1992, 25, 109–121. 10.1107/S0021889891010804. [DOI] [Google Scholar]
  49. Smidstrup S.; Markussen T.; Vancraeyveld P.; Wellendorff J.; Schneider J.; Gunst T.; Verstichel B.; Stradi D.; Khomyakov P. A.; Vej-Hansen U. G.; Lee M.-E.; Chill S. T.; Rasmussen F.; Penazzi G.; Corsetti F.; Ojanperä A.; Jensen K.; Palsgaard M. L. N.; Martinez U.; Blom A.; Brandbyge M.; Stokbro K. QuantumATK: An Integrated Platform of Electronic and Atomic-Scale Modelling Tools. J. Phys.: Condens. Matter 2020, 32, 015901 10.1088/1361-648X/ab4007. [DOI] [PubMed] [Google Scholar]
  50. Fischer J. E.; Bendele G.; Dinnebier R.; Stephens P. W.; Lin C. L.; Bykovetz N.; Zhu Q. Structural Analysis of Fullerene and Fulleride Solids from Synchrotron X-Ray Powder Diffraction. J. Phys. Chem. Solids 1995, 56, 1445–1457. 10.1016/0022-3697(95)00082-8. [DOI] [Google Scholar]
  51. Stephens P. W. Phenomenological Model of Anisotropic Peak Broadening in Powder Diffraction. J. Appl. Crystallogr. 1999, 32, 281–289. 10.1107/S0021889898006001. [DOI] [Google Scholar]
  52. Jayatilaka D.; Grimwood D. J.. Tonto: A Fortran Based Object-Oriented System for Quantum Chemistry and Crystallography; 2003; pp 142–151.
  53. Lufaso M. W.; Woodward P. M. Jahn–Teller Distortions, Cation Ordering and Octahedral Tilting in Perovskites. Acta Crystallogr., Sect. B: Struct. Sci. 2004, 60, 10–20. 10.1107/S0108768103026661. [DOI] [PubMed] [Google Scholar]
  54. Zanchini C.; Willett R. D. Crystal Structure, Magnetism, and Electronic and EPR Spectroscopies of Bis(2-Aminopyrimidinium) Tetrachlorocuprate(II): A Square-Planar CuCl42- Anion with Semicoordinated Cationic Ligands. Inorg. Chem. 1990, 29, 3027–3030. 10.1021/ic00341a034. [DOI] [Google Scholar]
  55. Kersen Ü.; Wojtczak A.; Bienko A.; Jezierska J. The Effects of Protonated Heterocyclic Cations on the Structural and Magnetic Properties of Tetrachlorocuprate(II) Anions; X-Ray, Magnetochemical and EPR Studies. New J. Chem. 2018, 42, 15705–15713. 10.1039/C8NJ03155J. [DOI] [Google Scholar]
  56. Turnbull M. M.; Galeriu C.; Giantsidis J.; Landee C. P. Synthesis, Structure and Magnetic Susceptibility of Two 5-Nitro-2-Aminopyridinium Cuprates: (5-NAP)2CuCl4 and the Quantum Magnetic Ladder (5-NAP)2CuBr4·H2O. Mol. Cryst. Liq. Cryst. 2002, 376, 469–476. 10.1080/10587250210779. [DOI] [Google Scholar]
  57. Krasinski C. A.; Solomon B. L.; Awwadi F. F.; Landee C. P.; Turnbull M. M.; Wikaira J. L. Copper(II) Halide Salts and Complexes of 4-Amino-2-Fluoropyridine: Synthesis, Structure and Magnetic Properties. J. Coord. Chem. 2017, 70, 914–935. 10.1080/00958972.2016.1278213. [DOI] [Google Scholar]
  58. (p-A)2CuCl4 displays two types of octahedral tilt modes, X2+ and X3+, without layer shift, resulting in the tilt system aac/–(aa)c according to the Glazer notation. The situation for (m-A)2CuCl4 is far more complex, due to stacking faults present in the structure, and the assignment of the corresponding modes is not that straightforward. For more details regarding distortion modes analysis see ref (39).
  59. Polyakov A. O.; Arkenbout A. H.; Baas J.; Blake G. R.; Meetsma A.; Caretta A.; van Loosdrecht P. H. M.; Palstra T. T. M. Coexisting Ferromagnetic and Ferroelectric Order in a CuCl4 -Based Organic–Inorganic Hybrid. Chem. Mater. 2012, 24, 133–139. 10.1021/cm2023696. [DOI] [Google Scholar]
  60. de Jongh L. J. Observation of Lattice- and Spin-Dimensionality Crossovers in the Susceptibility of Quasi 2-Dimensional Heisenberg Ferromagnets. Phys. B+C 1976, 82, 247–261. 10.1016/0378-4363(76)90187-X. [DOI] [Google Scholar]
  61. Bonner J. C.; Fisher M. E. Linear Magnetic Chains with Anisotropic Coupling. Phys. Rev. 1964, 135, A640–A658. 10.1103/PhysRev.135.A640. [DOI] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

cg3c00066_si_001.pdf (1.9MB, pdf)

Articles from Crystal Growth & Design are provided here courtesy of American Chemical Society

RESOURCES