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Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2019 Jan 16;116(5):1495–1500. doi: 10.1073/pnas.1812857116

Silver route to cuprate analogs

Jakub Gawraczyński a,b, Dominik Kurzydłowski a,c, Russell A Ewings d, Subrahmanyam Bandaru a, Wojciech Gadomski b, Zoran Mazej e, Giampiero Ruani f, Ilaria Bergenti f, Tomasz Jaroń a, Andrew Ozarowski g, Stephen Hill g,h, Piotr J Leszczyński a, Kamil Tokár i,j, Mariana Derzsi a,j, Paolo Barone k, Krzysztof Wohlfeld l, José Lorenzana m,1, Wojciech Grochala a,1
PMCID: PMC6358696  PMID: 30651308

Significance

Antiferromagnets can host strong quantum fluctuations in their ground state if they combine both low dimensionality and low spin. Materials based on copper oxides (spin-1/2 ions in layered or 1D structures) are unique in optimizing the tendency to strong quantum fluctuations. As a bonus, they show extremely large magnetic interactions, which lead to interesting quantum effects at relatively high temperatures as anomalous transport properties and high-Tc superconductivity in doped systems. Obtaining similar features with other ions has been a long-standing goal. We show that silver and fluorine (which are next to copper and oxygen in the periodic table) in the commercial compound AgF2 reach the goal, paving the way for a different generation of quantum materials.

Keywords: silver fluorides, superconductivity, cuprates, strong correlation, quantum magnetism

Abstract

The parent compound of high-Tc superconducting cuprates is a unique Mott insulator consisting of layers of spin-12 ions forming a square lattice and with a record high in-plane antiferromagnetic coupling. Compounds with similar characteristics have long been searched for without success. Here, we use a combination of experimental and theoretical tools to show that commercial AgF2 is an excellent cuprate analog with remarkably similar electronic parameters to La2CuO4 but larger buckling of planes. Two-magnon Raman scattering and inelastic neutron scattering reveal a superexchange constant reaching 70% of that of a typical cuprate. We argue that structures that reduce or eliminate the buckling of the AgF2 planes could have an antiferromagnetic coupling that matches or surpasses the cuprates.


Cuprates are said to be unique materials in that they combine low-dimensional arrangements of spin-12 magnetic moments coupled by a record high antiferromagnetic interaction, strong covalence between transition metal (TM) and ligands, and no orbital degeneracy. The strong quantum nature of spin-12 ions manifests itself in several properties. Materials with a quasi-1D electronic structure and layered materials show heat transport by magnetic excitations in insulators that rivals that of metals (1, 2). In quasi-1D compounds, magnon excitations are not stable, leading to exotic phenomena, such as spin charge separation (3, 4). Insulating two-leg ladder compounds show a spin-gapped ground state and can become superconducting with pressure and doping (5). Even for insulating layered materials, the magnetic excitation spectrum is remarkably different from the predictions of spin wave theory (68). This extreme quantum nature of the magnetism is believed to be at the heart of the high-Tc superconductivity of the doped layered materials (9).

There have been several attempts to replicate the quantum magnetism of cuprates with different TM ions (10). One proposal has been to use nickel(I) in place of copper(II) (11, 12). While LaNiO2 is isoelectronic and isostructural with the infinite-layer parent cuprates, it lacks the strong covalent character between the TM and ligand (13), and antiferromagnetic order has not been found (14, 15). Sr2IrO4 has many similarities with cuprates, including a robust antiferromagnetic order of spin-12 pseudospins. However, the correlated insulator character is much weaker, and spin–orbit coupling effects dominate (16, 17).

Another obvious possibility is to move down the periodic table from copper to silver (Fig. 1). The electronic structure of silver oxides was explored in the early times of high Tc (18). However, the second ionization potential of silver is nearly 1.2 eV larger than the one of Cu. Therefore, for a compound like AgO (which is formally d9), it is convenient to transfer electrons from the filled oxygen shells to the TM (Fig. 1B). Thus, AgO shows no magnetic ordering as opposed to the formally isoelectronic CuO (Fig. 1A). The larger ionization energy of silver can be compensated for by a right step in the periodic table, replacing oxygen with the more electronegative fluorine (Fig. 1C).

Fig. 1.

Fig. 1.

Schematic energy levels of cuprates and argentates in an ionic picture. All levels are assumed to be referenced to a common zero energy vacuum so that the 3d93d10 (4d94d10) level is located at minus the second ionization energy of Cu (Ag). (A) Levels for CuO and La2CuO4. Cu is in the d9 configuration. Electron addition (3d93d10) and removal (3d93d8) energies from Cu correspond to the centroid of the upper and lower Hubbard bands, while removal from filled oxygen corresponds to the valence band. The charge transfer energy ΔCuO and the Hubbard U3d parameter are indicated. (B) In the case of AgO, silver is formally d9. However, since the 4d94d10 levels are deeper than the 3d counterpart, the charge transfer energy is practically zero or even negative, and the pictured filling is unstable toward more complex mixed valence behavior (yellow arrow) (18). (C) Fluorine is more electronegative than O, which translates into deeper 2p6 removal states and restores a positive charge transfer energy in AgF2.

Fluoroargentates were scrutinized some years ago (19, 20). Cs2AgF4 is structurally similar and isoelectronic with La2CuO4 (the so-called “214” family). However, alternating orbital ordering stabilized by small structural distortions leads to ferromagnetic intrasheet interactions instead of the robust antiferromagnetic order of cuprates (2123). Large superexchange constants have been predicted in many fluorargentates (24), and static susceptibility measurements in a quasi-1D system suggest a superexchange constant of the order of that found in the cuprates (25). However, direct access to excitation energies from spectroscopy has not been available to date.

A bonus property of F in place of O2 is that, unlike CuO2 planes, neutral AgF2 planes are possible, and therefore, the simplest compound is not of the 214 kind but is simply 012. Unexpectedly, as we show here, the binary and commercially available AgF2 compound turns out to be an excellent cuprate analog. Fig. 2 A and B and SI Appendix, Fig. S1 show the structure (26) and stacking of planes in AgF2. The topology is the same as in La2CuO4, which in the low-temperature orthorhombic (LTO) phase, also has the same pattern of displacements of the ligands out of the plane (+ or −) but with a much smaller magnitude. Also, as in parent cuprates, the ground state of AgF2 is antiferromagnetic (26) with a staggered moment of 0.7 μB (0.6 μB), a weak ferromagnetic component of 1×102μB (2×103μB) per TM ion, and a Néel temperature of 163 K (325 K), where parentheses enclose reference values (27) in La2CuO4.

Fig. 2.

Fig. 2.

AgF2 vs. La2CuO4. (A) Top view of a plane in AgF2. The black rectangle indicates the unit cell. Big/small atoms are Ag/F. We indicate the sign of F displacements in the c direction. Notice that nearest neighbor exchange paths are equivalent, although the overall symmetry is orthorhombic as in the LTO phase of La2CuO4. (B) Side view showing buckling and stacking of planes. (C) Comparison of the orbital resolved (Upper: dx2y2; Lower: p and pz) and total (dashed lines) density of states of the two compounds computed within hybrid DFT in the antiferromagnetic state. The red arrows indicate the Hubbard bands.

Results

Density functional theory (DFT) computations show that the electronic structure of AgF2 is very similar to that in cuprates. Fig. 2C shows hybrid DFT calculations comparing the characters of the density of states (28). Both compounds have well-separated Hubbard bands of dominant dx2y2 character (indicated by red arrows in Fig. 2C), while the first ionization states are of dominant p character; therefore, both compounds are predicted to be charge transfer insulators according to the classification scheme of Zaanen et al. (29). The small charge transfer gap is considered a key characteristic of cuprates. Our unbiased computations in Fig. 2C predict that AgF2 should have an even smaller charge transfer energy than the cuprates, which can provide a test platform for theories based on the smallness of this parameter (30).

As a minimal model of the electronic structure, we consider one dx2y2 orbital centered on the TM [as in cuprates (31)] and two p orbitals on the F sites (one more than the cuprates). p indicates the p orbital parallel to the TM–TM bond, while pz is perpendicular to the bond but also mixes with the dx2y2 orbitals because of the substantial buckling (SI Appendix, SI Text and Fig. S2). From unpolarized DFT computations, we find that the hopping integral of a hypothetically straight Ag–F–Ag bond with the same interatomic distances is tpd=1.38 eV, practically the same value as the cuprates (32) (SI Appendix, SI Text and Figs. S3 and S4). However, due to the increased corrugation of the planes and the destructive interference of the p and pz orbitals, the effective hybridization is smaller, which explains the narrower upper Hubbard band of AgF2 in Fig. 2C (SI Appendix, Table S1).

The similar splitting between Hubbard bands shown in Fig. 2C for AgF2 and La2CuO4 (9.4 and 10.7 eV, respectively) suggests that the Hubbard Ud parametrizing the Coulomb repulsion on the dx2y2 orbitals is similar in the two compounds. However, this estimate does not properly take into account the polarizability of the environment. An empirical estimate of Ud can be obtained from Auger experiments in compounds with similar ions but a filled d shell. Thus, for Cu2O (Cu d10), Sawatzky and coworkers (33) obtained U3d=9.2 eV, which is close to the accepted value for Cu d9 in CuO2 planes. For Ag2O (Ag d10), they obtained U4d=5.8 eV, which is smaller than for 3d, which is expected for the more diffuse 4d orbitals but still quite large. This value, however, cannot be directly transposed to AgF2, because the difference in screening has to be taken into account. Screening of the free ion Hubbard U0 to the value U in the solid is determined by the relaxation energy R of the environment according to U=U0R. For TM compounds, R is expected to scale with the polarization of the ligands and to be inversely proportional to the ligand–TM distance to the fourth power (34). For copper oxides, typical values of the oxygen polarizability are in the range αO=1.93.2 Å3. Instead, in AgF2, the ligand–TM distance is larger, and the polarizability of the ligand is much smaller at αF=0.64 Å3, leading to less efficient screening. This allows for values of Ud in AgF2 similar to the cuprates (SI Appendix, SI Text). Interestingly, from a different perspective, the computations of Fig. 2C suggest the same conclusion.

The similarity of the DFT electronic structures confirms the conclusions of the simplistic picture of Fig. 1 A and C. From the point of view of the strength of the correlation, the narrower upper Hubbard band of AgF2 suggests a more correlated system but a smaller Ud and smaller charge transfer gap point in the opposite direction. Our results imply that AgF2 is very covalent, probably more so than the cuprates, which is consistent with core- and valence-level spectroscopy results (35) but in contrast with the prevailing view that fluorides are ionic compounds.

The more interesting parameter for a cuprate analogue is the magnetic exchange interaction, which determines the scale of magnetic fluctuations in magnetically mediated mechanisms of superconductivity in doped compounds. Not surprisingly, AgF2 is antiferromagnetic (26) as predicted by Anderson superexchange.

A perturbation theory analysis shows that the dominant interaction is antiferromagnetic due to processes in which two holes from neighboring Ag sites occupy simultaneously the bridging F (SI Appendix, SI Text). As in cuprates (36), one needs to also consider processes in which two holes occupy the same Ag site (also antiferromagnetic) and direct ferromagnetic exchange. Buckling tends to reduce the antiferromagnetic contribution as cos2(η), where η=132.4° is the Ag–F–Ag angle (SI Appendix, Eq. S8). While model computations have been very useful to discuss the dependence of the magnetic interaction in fluroargentates on the structure (37), the present lack of precise parameters does not allow one to obtain an accurate absolute value. An alternative estimate can be obtained from hybrid DFT computations, which yield J=56 meV for the nearest neighbor interaction (Table 1) (24). Computations (37) done with a new generation functional (38) yield J=71 meV.

Table 1.

Exchange constants for AgF2 and its two hypothetical polymorphs

Cell vectors (Å)
Polymorph a b c R (Å) η J (meV)
αAgF2 5.191 (5.101) 5.662 (5.101) 6.042 (5.831) 4.198 132.4 56 (70)
δAgF2 5.671 5.670 5.607 4.166 148.5 137
ωAgF2 5.836 5.836 6.213 4.127 180 195

We report key structural parameters and values of the nearest neighbor magnetic coupling constant calculated with the DFT total energy method. R is the sum of the two Ag–F distances of the bond. αAgF2 is the known stable phase in which experiments have been done (experimental values are given in parentheses). ωAgF2 is tetragonal, but cell parameters are reported in the 2×2×1 unit cell for comparison. The text has a detailed description of the polymorphs. A hybrid functional was used (Materials and Methods). Notice that this functional yields a value of J below experiment. After this work was finished, a more accurate value was obtained in ref. 37.

As in La2CuO4, the TM in one plane coincides with the center of the four-TM plaquette in the next plane, which tends to frustrate interplanar magnetic interactions in an antiferromagnetically ordered state. In both compounds, the frustration is partially relieved by the orthorhombicity, but the effect is much larger in AgF2. For the ratio of interlayer to intralayer couplings, our DFT computations predict values of the order of 102 (SI Appendix, Table S2), a larger ratio than the experimental (27) one in cuprates (105) but still well in the regime of a quasi-2D quantum antiferromagnet.

We used a full set of exchange constants with longer-range interactions (SI Appendix, Table S2) from DFT computations to estimate the Néel temperature with classical Monte Carlo computations (SI Appendix, SI Text). Correcting approximately for quantum effects, we found a value higher than the experimental one (by 27%) but of the same order. Given the approximations involved, this fair agreement validates the hybrid DFT computations of exchange constants. As shown below, Raman experiments reveal an even larger value of the effective nearest neighbor exchange. We believe that uncertainties in the interplanar coupling and extra terms in the Hamiltonian, like four-site cyclic exchange, can explain the mild difference between the DFT + Monte Carlo estimate of the Néel temperature and the experiment.

To further test the analogy, we experimentally studied high-quality powder samples of freshly prepared AgF2. Crystallinity was verified with powder X-ray diffraction, which resulted in a spectrum with similar characteristics but fewer impurity signatures than a commercial sample (SI Appendix, SI Text and Fig. S5).

Specific heat measurements reveal that only about 5% of the maximum possible entropy change Rln(2) occurs around the Neél temperature (SI Appendix, SI Text and Fig. S6). This is consistent with a quasi-2D antiferromagnet, where short-range in-plane correlations set in at much higher temperatures than the 3D Néel temperature. A bulk EPR signal was searched over a wide range of temperatures. However, despite several efforts, it was not found. This is also analogous to the situation in the cuprates and points to strong antiferromagnetic interactions (SI Appendix, SI Text). Vibrational spectroscopy (Raman and IR) shows phonon modes in good agreement with the prediction of hybrid DFT, validating the latter computations (SI Appendix, Fig. S7). In addition, the detailed phonon assignment (SI Appendix, SI Text and Table S3) allowed us to check the integrity of the sample under the laser spot and to exclude impurity phases or photochemistry by-products.

For high Raman shifts, we detected a broad band centered at 1,750 cm−1 at room temperature, which hardens and becomes narrower on cooling (Fig. 3A). The temperature dependence is very similar to the one for two-magnon Raman scattering in cuprates (39). This allows us to identify unambiguously this line as due to two-magnon Raman scattering in AgF2. Comparing with cuprates, we deduce that the antiferromagnetic exchange in this compound is JAF=70 meV, confirming the expected large antiferromagnetic interaction and in excellent agreement with the computation of ref. 37. The robustness of two-magnon Raman scattering well above the Néel temperature also confirms strong short-range antiferromagentic correlations, also like in cuprates.

Fig. 3.

Fig. 3.

Two-magnon Raman spectra of AgF2. (A) Temperature dependence for excitation energy 1.17 eV. We also show the low-temperature two-magnon line shape of EuBa2Cu3O6 (EBCO) after ref. 39. The upper scale corresponds to EBCO, while the lower scale corresponds to AgF2 (this work). Curves are labeled by the temperature in Kelvin. Comparing the energy scales in A, we obtain that JAF=0.7JEBCO, which yields JAF=70 meV for AgF2. A linear background was subtracted to the spectra at 80 and 115 K but not to the room temperature spectrum, which was measured using a different machine (Materials and Methods). Spectra at different temperatures/apparatus were normalized with the phonon lines as shown in Inset. (B) We show data for AgF2 at various excitation energies. For the 2.41-eV laser line, two temperatures are reported. Dashed lines are estimated nonmagnetic backgrounds, which are well defined at high energy but cannot be uniquely defined at low energy.

Fig. 3B shows the two-magnon Raman line recorded with three different apparatuses (Materials and Methods). The line shape is clearly visible with excitation energies of 1.17 and 1.58 eV. The feature at 970 cm−1 is assigned to a two-phonon process. For 2.41 eV, the two-magnon feature is weak at high temperature (compared with the two-phonon feature) but becomes stronger on cooling, similar to the behavior for 1.17 eV (Fig. 3A) and for cuprates. Unfortunately, a detailed line shape analysis is not possible in this case due to a strong energy-dependent background (dashed lines in Fig. 3B). The dependence on the excitation energy suggests that the resonance profile of the two-magnon line is shifted to lower laser excitation energies with respect to what is found in cuprates (40), which is consistent with the smaller charge transfer gap found in DFT.

To confirm the large value of J, we performed inelastic neutron scattering experiments in a 150-g AgF2 powder sample. The experimental excitation spectrum (Fig. 4A and SI Appendix, Fig. S8A) shows a plume (indicated by the arrow in Fig. 4A) at a value of |Q| corresponding to the propagation vector of the magnetic order, QAF. The plume originates on the powder average of the acoustic spin wave excitations emanating from QAF (i.e., the Goldstone mode) and is typical of steep dispersions (41) consistent with a large value of J. Fig. 4B is a simulation using spin wave theory (42). Although the plume is well explained by the theory using an in-plane magnetic exchange constant similar to the one in Raman, uncertainty in the data allows for considerable freedom on the admissible values of J. The situation is different for the flat band at 148 ±3 meV. Simulations show that this flat band originates in the maximum of the magnetic dispersion relation, which produces a Van Hove-like singularity when averaged over all possible grain orientations in our powder sample, and its energy is roughly 2J (plus small corrections due to interplanar coupling). The sensitivity to the in-plane exchange allows to confirm J=70 meV as found in Raman.

Fig. 4.

Fig. 4.

Powder inelastic neutron scattering. (A) Measured neutron scattering cross-section taken with incident neutron energy (Ei) of 300 meV. The vertical plume of scattering indicated by the arrow corresponds to |Q|1.2Å1, where Q is the propagation vector of the magnetic order [(1,0,0) in reciprocal lattice units]. The strong signal at high |Q| extending up to 60 meV corresponds to scattering from phonons, and the strong |Q|-independent signal at very low energy corresponds to incoherent elastic scattering. (B) Calculation of a powder-averaged neutron scattering cross-section using spin wave theory, performing a powder average, and convoluting with the instrumental resolution. We used an intraplanar value of J=70 meV and interplanar J=4 meV as suggested by the DFT computations (SI Appendix, Table S2).

The intensity of the flat band has an interesting dependence on wave vector, which is determined by the magnetic form factor. Unfortunately, the atomic form factor of Ag in the d9 configuration is not available in the standard sources (43). Using instead a Pd d9 form factor (as the closest available 4d anion with a known atomic form factor), we find a flat band intensity, which is peaked at much smaller wave vectors respect to experiment (SI Appendix, Fig. S8B). In the simulation in Fig. 4B, we used a DFT form factor computed as in ref. 44, which substantially improves the agreement with respect to the atomic form factor but still yields a maximum of intensity at around 5 Å−1 instead of the maximum near 8 Å−1 observed in the experiment. Strong covalency of the Ag–F bond is essential for the improvement in the DFT simulation with respect to the atomic form factor. We attribute the differences still observed to the known deficiencies of DFT to accurately describe the bond charges in a correlated material (45).

Discussion

The above results clearly indicate that AgF2 is an excellent cuprate analog with a very similar electronic structure and large magnetic interaction. Putting AgF2 under high pressure does not flatten but tends to form lower-dimensional structures (46). Remarkably, it has been predicted that the observed structures as a function of pressure should lead to quasi-1D magnetism and ladders with extremely high antiferromagnetic constants, allowing one to visit practically all of the physics of low-dimensional quantum magnets in the same compound (37).

Historically, the superconducting temperature in cuprates has been optimized starting from simple ternary compounds and increasing the number of chemical elements. In argentates, starting from a binary compound that is already stable leaves substantial freedom for such optimizations.

Clearly, a high priority is to produce doped AgF2 planes. One concern (47) is that ionic distortions may self-trap carriers and hinder metallic conduction and superconductivity. Similar to ref. 48, we computed lattice spin polarons using DFT + U (Materials and Methods). For electron-doped AgF2, we find that polaronic tendencies are very strong and that electrons self-trap. For the hole-doped case, polaronic tendencies are stronger than cuprates due to the large buckling but remain moderate. Indeed, the energy gain due to lattice relaxation is smaller than the estimated bandwidth and of the order of the breathing phonon frequency (60 meV), indicating that metallic conduction may still be possible if high-enough doping is achieved. Polaronic tendencies should be further reduced in the case of the flat-layer polymorphs discussed below.

The cuprate family of parent high-Tc superconductors is made of materials very similar to each other. Indeed, changes in key parameters, like J, are smaller than 15% (49). This severely hampers the identification of clear trends in physical properties. A close cuprate analog but with important differences (less marked 2D character, smaller J, narrower bands, smaller charge transfer gap, rich polymorphism) opens the way to the clarification of the mysterious cuprate-phase diagram by revealing clear trends.

Another desirable development is to make the planes flat, which according to SI Appendix, Eq. S8, should increase J. Such hypothetical polymorphs were studied in the past with DFT (20, 5053). One such structure (20, 51) dubbed δAgF2 is obtained by constraining the AgF2 plane to be a mirror plane but allowing the Ag–F–Ag bond to have an angle inside the plane. This polymorph shows a modest increase in energy at ambient pressure with a large value of J according to DFT computations (20). Since this kind of functional may overestimate the magnetic interaction, we have repeated the computation with hybrid DFT, which yields a value of 137 meV as shown in Table 1. If one further restricts the bond angles to be straight, a tetragonal polymorph is obtained (52) dubbed ωAgF2. In this case, a nearest neighbor exchange approaching 200 meV is obtained. Obviously, such polymorphs are not stable at ambient pressure. However, it is possible that they can be stabilized by intercalation or that they may be grown as one or few layers on an appropriate substrate. Generally, we find that flat AgF2 planes should have an antiferromagnetic J, which is more than twice the one of commercial AgF2 and assuming a magnetically driven mechanism (54), could potentially lead to superconducting critical temperatures higher than those exhibited by cuprates.

Materials and Methods

Structure.

Visualization of the structure was performed with the use of the VESTA software (55). The crystal structure of AgF2 has been described in detail before based on powder neutron data (5658). At ambient conditions, AgF2 crystallizes in a distorted rutile-type structure of orthorhombic symmetry. This structure contains puckered AgF2 sheets containing corner-sharing AgF4 plaquettes. The octahedral coordination of Ag2+ is completed by two fluorine atoms from neighboring sheets. This structure can thus be described as built of puckered 2D sheets. SI Appendix, Fig. S1 compares the structure of AgF2 with a typical cuprate.

DFT Computations.

Unpolarized DFT calculations have been performed using the projector-augmented waves method as implemented in VASP (59) within the generalized gradient approximation of Perdew et al. (60) (PBE) and the crystal structure of ref. 26. The band structure was obtained for the experimental lattice (26) using a Monkhorst–Pack mesh of 26 ×26× 26 k points and a 500-eV plane wave cutoff. A smaller mesh of 8 ×8× 8 k points has been used for the projection onto maximally localized Wannier functions. Polarized computations where done with the HSE06 functional (61), which is a hybrid functional mixing PBE with 25% of Hartree–Fock exchange energy.

For the phonon assignments, dynamical matrix interatomic force constants and polarizabilities (macroscopic dielectric tensors) for computing IR and Raman intensities were obtained from the density functional perturbation theory scheme with (6 × 6 × 7) k-point mesh (including 64 irreducible points) and cutoff = 520 eV using PBEsol functional in combination with Hubbard U for Ag2+ ions with one unpaired electron (electronic configuration 3d9) within the DFT + U scheme as implemented in the VASP package (59). The Hubbard UAg (23) was set to 5 eV, and JH was set to 1 eV.

The Γ-point vibrational frequencies were calculated by diagonalizing the dynamical matrix for the fully converged structural AgF2 model. IR intensity of vibrational eigenmodes has been expressed within dipole approximation in terms of atom-born effective charges and corresponding phonon eigenvectors using the formula for modal oscillator strengths (62, 63) as implemented in ref. 64. Intensity of each Raman mode was calculated as implemented in ref. 65. The electronic and ionic convergence was restricted to 108 and 107 eV, respectively. The atomic forces were converged to a maximal value of 0.02 meV/Å. For the polaron configurations, we added or removed one electron from a 2×2×1 supercell corresponding to 1/8 doping.

Raman Scattering.

Raman spectra shown in Fig. 3 and SI Appendix, Fig. S7 were acquired on a dry quartz capillary filled with AgF2 in the 180° scattering geometry. The capillary was prefluorinated with F2 gas to minimize reactivity toward AgF2. Using larger power than the ones reported may lead to decomposition of the samples. Data were taken in the following instruments: (i) Nicolet 6700/NXR FT-Raman equipped with an Nd:YAG laser for excitation at 1,064 nm (1.17 eV), a Nicolet reflective mirror, and a liquid nitrogen cooled Ge detector. Spectra were acquired with resolution of 4 cm−1 at 4–5 mW of laser power and referenced to that of elemental silicon. Calibration was done with respect to a standardized built-in Xe lamp. A typical measurement was composed of several thousand accumulations (of ∼2 s each) and took several hours to complete. This configuration has high sensitivity and was used for the weak two-magnon feature at room temperature. (ii) Low-temperature measurements at identical source/detector combination as in i were done in an RFS 100 Bruker Raman interferometer with a resolution of 4 cm−1. This instrument was calibrated with a black body source at 1,273 K placed in the sample position. The incident laser power density was set at 1.1 W/cm2 (80 mW, ∼3-mm laser beam diameter). The sample was mounted on the cold finger of a liquid He flow cryostat. Each spectrum is the average of 4,000 or 16,000 scans (2 or 8 h). (iii) A T64000 spectrometer from Horiba–Jobin Yvon equipped with a liquid nitrogen cooled Si detector and used in the confocal microscope mode (aperture diameter: 150 μm) with the Mitutoyo long-working distance lenses (focal length of 200 mm). Typical gratings used were 150 lines per millimeter (preliminary monochromatization stage) and 300 lines per millimeter (second monochromatization stage). Calibration was done with a black body source at 1,200 °C placed in the sample position. The 514.5-nm (2.41 eV, 420 mW at head) Kr/Ar gas ion laser from Spectra-Physics was used as a source. Spectra were acquired with resolution of 4.5 cm−1 or better at maximum 5 mW of laser power on the cell and referenced to that of diamond or silicon. Filters were used to bring down the beam power at the sample (in some cases, down to 0.4 mW). A typical measurement was composed of 340 accumulations (60 s each). (iv) Renishaw inVia Raman system with a 785-nm (1.58-eV) line used as the excitation source. The light from the laser was passed through a line filter and focused on the sample mounted on an x–y–z translation stage with a 50× microscope objective. The Raman-scattered light was collected by the same objective through a holographic notch filter to block out Rayleigh scattering. The microscope was equipped with an 1,800-grooves per millimeter grating, cutoff optical filters, and a 1,024 × 256-pixel Peltier-cooled RenCam CCD detector, which allowed for registering of the Stokes part of Raman spectra with 5- to 6-cm−1 spectral resolution and 2-cm−1 wavenumber accuracy. Calibration was done with a standardized He/Ne lamp. The time required for completing a single Raman spectrum was 4 min with a laser power of 0.25 mW.

Inelastic Neutron Scattering.

Neutron scattering measurements were performed on the MAPS spectrometer at the ISIS pulsed neutron and muon source. A monochromatic neutron beam was selected using a Fermi chopper, spinning at 150 Hz for incident neutron energy (Ei) of 60 meV and 400 Hz for Ei = 300 meV. A sample of 150 g of mass was contained in an annular geometry inside an aluminum can filled with Ar. Details of the simulations are in SI Appendix, SI Text.

Supplementary Material

Supplementary File

Acknowledgments

W. Grochala thanks A. Michota-Kaminska for making the Renishaw inVia Raman system available. Experiments at the ISIS Neutron and Muon Source were supported by a beamtime allocation from the Science and Technology Facilities Council. The high-field EPR spectra were recorded at the National High Magnetic Field Laboratory, which is funded by NSF Cooperative Agreement DMR-1157490 and the State of Florida. Research at the University of Warsaw was carried out with the use of Center for Preclinical Research and Technology (CePT) infrastructure financed by the European Union—the European Regional Development Fund within Operational Program “Innovative Economy” for 2007–2013 POIG.02.02.00-14-024/08-00. The quantum mechanical calculations performed in Warsaw would not have been possible without the Interdisciplinary Centre for Mathematical and Computational Modelling (ICM) supercomputer Okeanos (ADVANCE PLUS, GA67-13). Z.M. acknowledges the Slovenian Research Agency for financial support within Research Program P1-0045 Inorganic Chemistry and Technology. S.H. received financial support through NSF Grant DMR-1610226. J.L. acknowledges support from CINECA High-Performance Computer Project IsC50_HTCM, Italian Foreign Affairs and International Cooperation Ministry (MAECI) Collaborative Projects SUPERTOP-PGR04879 and AR17MO7, and Regione Lazio (L.R. 13/08) Project SIMAP. W. Grochala acknowledges support from Polish National Science Center Maestro Project UMO-2017/26/A/ST5/00570.

Footnotes

The authors declare no conflict of interest.

This article is a PNAS Direct Submission.

This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1812857116/-/DCSupplemental.

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