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. 2021 Jul 16;11:14588. doi: 10.1038/s41598-021-94034-6

Metastability relationship between two- and three-dimensional crystal structures: a case study of the Cu-based compounds

Shota Ono 1,
PMCID: PMC8285482  PMID: 34272459

Abstract

Some of the three-dimensional (3D) crystal structures are constructed by stacking two-dimensional (2D) layers. To study whether this geometric concept, i.e., using 2D layers as building blocks for 3D structures, can be applied to computational materials design, we theoretically investigate the dynamical stability of copper-based compounds CuX (a metallic element X) in the Bh and L11 structures constructed from the buckled honeycomb (BHC) structure and in the B2 and L10 structures constructed from the buckled square (BSQ) structure. We demonstrate that (i) if CuX in the BHC structure is dynamically stable, those in the Bh and L11 structures are also stable. Using molecular dynamics simulations, we particularly show that CuAu in the Bh and L11 structures withstand temperatures as high as 1000 K. Although the interrelationship of the metastability between the BSQ and the 3D structures (B2 and L10) is not clear, we find that (ii) if CuX in the B2 (L10) structure is dynamically stable, that in the L10 (B2) is unstable. This is rationalized by the tetragonal Bain path calculations.

Subject terms: Chemistry, Materials science, Physics

Introduction

Since the synthesis of many atomically thin materials, the two-dimensional (2D) structure has been regarded as one of the metastable structures in materials science, as a result of which the database including several 2D structures can now be available15. Many 2D materials can be exfoliated from their three-dimensional (3D) counterparts, as the relation between the graphene and the graphite, in turn, implying that the 2D layers can be building blocks for constructing the 3D crystal structures. Recently, 2D CuAu has been synthesized experimentally6, where it consists of the hexagonal Cu and Au monolayers, forming the buckled honeycomb (BHC) structure. By considering the 2D CuAu as a building block for the 3D structures, one can construct the Bh and L11 structures with the ABAB and ABC stacking methods, respectively (see Fig. 1). However, the synthesis of CuAu in these structures have not yet been reported.

Figure 1.

Figure 1

Illustrations of the 2D (BHC and BSQ) and 3D structures (Bh, L11, B2, and L10) and its interrelationships: Stacking the 2D structures vertically produces the 3D structures and the tetragonal and trigonal distortions of the B2 structure yield the L10 and L11 structures, respectively.

The stability of the 2D metals has recently been studied in detail715. By focusing on the 2D elemental metals, the author has demonstrated that the concept above (i.e., the 2D structure as a building block for the 3D structures) can hold by using first principles calculations: If the planar hexagonal (HX) structure is dynamically stable, then the BHC, the fcc, and/or the hcp structures are also stable13. Po in the square lattice structure is dynamically stable14, as a counterpart of Po in the simple cubic structure. More recently, the author has also demonstrated that if a compound in the Bh structure has been synthesized experimentally, that in the BHC structure is dynamically stable15. These studies motivate us to study the metastability relationship between the 2D and 3D compounds in detail.

Of particular interest is the Cu-based compounds because since the discovery of L10-type CuAu, many crystal structures of those compounds have been studied for many years. For the binary compounds of CuX, where X is an element in the periodic table, several phases have been synthesized experimentally: CuBe16, CuPd17, CuSc18, CuY19, CuZn20, and CuZr21 in the B2 (CsCl-type) structure, CuCl, CuBr, and CuI22 in the B3 (zincblend-type) structure, CuAu23 in the L10 structure, and CuPt24 in the L11 structure. These structures are interrelated with each other by the following deformations: The tetragonal Bain distortion elongating the c axis transforms the B2 into the L10 structure (see Fig. 1); the trigonal distortion elongating the (111) axis transforms the B2 structure into, via the B1 (NaCl-type) structure, the L11 structure (see Fig. 1); and by shortening the interatomic distance along the (111) axis the B1 is transformed into the B3 structure. In this way, the existence of CuX in the Bh structure has not yet been explored. Note also that among binary metallic phases, L11 as well as Bh structures are quite rare structure, as has been pointed out in Ref.25 and observed in AlSn solid solutions26. Therefore, it will be interesting to study whether the design of CuX is possible based on the geometric concept (i.e., from 2D to 3D) combined with the dynamical stability analysis beyond the formation energy analysis25.

In this paper, we investigate the interrelationship of the dynamical stability between the 2D and the 3D structures by focusing on CuX with a metallic element X. By calculating the phonon density-of-states (DOS) from first principles, we demonstrate that if CuX in the BHC structure is dynamically stable, CuX in the Bh and L11 structures are also stable. This indicates that the BHC structure serves as a building block for the Bh and L11 structures, while in some compounds the dynamical stability of the Bh and L11 structures relies on the coupling between the BHC structures along the c axis. By performing the molecular dynamics simulations, we particularly show that CuAu in the Bh and L11 structures are stable up to 1000 K.

We also study the dynamical stability of CuX in the the buckled square (BSQ), B2, and L10 structures, where the latter two structures can be constructed by stacking the BSQ structures (see Fig. 1). However, we find it difficult to discuss the metastability relationship between the 2D and 3D tetragonal structures because most of CuX in the BSQ structure are unstable. Analogous to the instability of the bcc (fcc) elemental metals in the fcc (bcc) structure27, we can find that if CuX in the B2 (L10) structure is dynamically stable, that in the L10 (B2) structure is unstable. This is visualized by means of the tetragonal Bain path calculations.

The metastability relationships between different crystal structures are summarized in Table 1: The first two relationships between the fcc, hcp and bcc structures can be applicable to the stability of elemental metals27; the third is the relationship between the 2D elemental metals; the fourth and fifth are the relationships between the 2D and 3D elemental metals; and the others are the relationships between the 2D and 3D compounds. It has been shown that the (mn) Lennard-Jones crystals also satisfy the first and the fifth relationships when m+n18, i.e., the short-ranged potentials28. We hope that the present study paves the way to computational materials design based on the interrelationship between the 2D and 3D structures. Making the metastability database for other compounds XY and exploring other 2D structures as building blocks for the 3D structures are left for future work.

Table 1.

The interrelationship of the dynamical stability between different structures. The “stable” structure has no imaginary frequencies within the phonon Brillouin zone.

Property 1 Property 2 Example
fcc and hcp stable bcc unstable group 3, 4, 10, and 1127
bcc stable fcc and hcp unstable group 5 and 627
HX stable BHC stable group 2, 11, and 1213
HX stable fcc and hcp stable group 2, 11, and 1213
BSQ stable fcc and hcp stable group 3, 7, 8, 9, and 10 and Al13
Bh synthesized BHC stable IrLi, LiPd, LiPt, and LiRh15
BHC stable Bh and L11 stable CuX with X=Li, W, Co, Ni, Cu, Ag, Au, Zn, and Al (this work)
B2 stable L10 unstable CuX with X=K, Rb, group 2 and 3, and Pd (this work)
L10 stable B2 unstable CuX with X=Li, group 5 and 6, Mn, Tc, Fe, Ru, group 9, Ni, Pt, Cu, Au,
Zn, and Ga (this work)

The present study will serve as one of the geometry-based approaches that have been proposed in computational materials science. Hart et al. have generated superstructures as a derivative of a parent crystal structure29. In contrast, Kolli et al. have mapped complex crystal structures onto several parent structures30. They have pointed out that 15 of the top 20 parent structures can be generated by vertically stacking simple 2D structures including the close-packed, honeycomb, kagome, square, and more complex structures. As an extension of the present investigation, these will be candidate structures for creating the metastability database of the ordered compounds XY.

Results and discussion

BHC, Bh, and L11

The resultant dynamical stability properties are summarized in the periodic table of Fig. 2. The phonon DOS of CuX in the BHC, Bh, and L11 structures are provided in the Supplementary Information. For the case of X=Cu, the Bh and L11 structures correspond to the hcp and fcc structures, respectively. The main finding is that if the BHC structure is dynamically stable, then the Bh and L11 structures are also stable, as in the cases of X=Li, W, Co, Ni, Cu, Ag, Au, Zn, and Al (dark green). On the other hand, if the Bh and L11 structures are unstable, the BHC structure is also unstable (gray). These indicate that the BHC structure serves as a building block for the Bh as well as L11 structures. For some compounds (light green, light red, and yellow), only the Bh and/or L11 structures are dynamically stable. This implies that the layer stacking vertically suppresses the instability against the out-of-plane vibrations in thin films, while the prediction of such a critical thickness is beyond the scope of the present work.

Figure 2.

Figure 2

Periodic table for the CuX compounds in the BHC, Bh, and L11 structures. The dynamically stable structure js are indicated. CuX with X=Ca, Sr, Ba, Sc, Y, and Lu has the B1 structure rather than the L11 structure as a dynamically stable or unstable structure (see the Supplementary Information).

BSQ, B2, and L10

We next study the dynamical stability of CuX in the BSQ, B2, and L10 structures. The phonon DOS of these structures are also provided in the Supplementary Information. As shown in Fig. 3, only CuBe, CuRh, and CuCu in the BSQ structure are dynamically stable, while most of CuX in the B2 or L10 structures are dynamically stable. Therefore, it seems to be difficult to find a useful relationship of the dynamical stability between the BSQ and the 3D structures. Interestingly, one can find that if CuX in the B2 structure is dynamically stable, that in the L10 structure is unstable, and vice versa: if CuX in the L10 structure is dynamically stable, that in the B2 structure is unstable. This is analogous to the metastability relationship between the bcc and the fcc structures in the elemental metals listed in Table 1. This will be rationalized by the tetragonal Bain path calculations below.

Figure 3.

Figure 3

Same as in Fig. 2 but for the CuX compounds in the BSQ, B2, and L10 structures.

In the present study, CuX in the B2 structure for X = group 1 (K and Rb), group 2 (Be, Mg, Ca, Sr, and Ba), group 3 (Sc, Y, and Lu), and Pd have been identified to be dynamically stable. In contrast, CuBe16, CuSc18, CuY19, CuZr21, CuPd17, and CuZn20 in the B2 structure have been synthesized experimentally at ambient condition. For the case of the L10 structure, 20 CuX in the L10 structure have been predicted to be dynamically stable, whereas only CuAu has been synthesized experimentally23. It has been shown that the lowest energy phonon at the R point, (0,π/a,π/c), of the L10 CuAu is stabilized by the long-range interatomic interactions from the first to more than the fifth nearest neighbors31. If the same scenario holds, the stabilization of the phonons at the N point, (0,π/a,π/a), and the R point will be a key to synthesize the ordered compounds in the B2 and L10 structures, respectively.

Formation energy

As a measure of relative stability compared to elemental metals Cu and X, Fig. 4 plots the formation energies Ej(CuX) defined as Eq. (1) for j=BHC, Bh, and L11 (triangles) and for j=BSQ, B2, and L10 (circles). The CuX in the BHC and BSQ structures have positive Ej and those in the 3D structures are energetically more stable. The Bh and/or L11 structures have negative Ej for X=Li, Be, Sc, Y, Lu, Pd, Pt, Zn, Al, and Ga, while the B2 and/or L10 structures have negative Ej for X=Li, Be, Mg, Ca, Sc, Y, Lu, Ti, Zr, Pd, Pt, Au, Zn, Al, and Ga. The group-dependence of the energetic stability is observed, that is, the CuXs with the group 2, 3, 12, and 13 elements of X tend to have low energy, while those with the group 6 elements of X have high energy. This tendency is similar to that predicted for the Pb- and Sn-based compounds32.

Figure 4.

Figure 4

The formation energy (per a unit cell including two atoms) of CuX in the BHC, Bh, L11, BSQ, B2, and L10. The vertical dashed line (blue) indicates the case of X=Cu.

Tetragonal and trigonal paths

To understand the metastability relationship between the B2 and the L10 structures proposed above, we show the total energy curves along the tetragonal Bain path in Fig. 5, where the volume of CuX is fixed to that of the B2 structure. If the total energy takes the minimum value at c/a=1 (B2), no energy minimum is observed at c/a>1 (L10), as for X=K, Rb, group 2, and group 3. In contrast, if the total energy takes the minimum value at c/a>1, then that takes the maximum or higher values at c/a=1. It should be noted that the anomalous stability of CuPd in the B2 structure (see the group 10 in Fig. 3) can be understood as the shift of the energy minimum to c/a=1.

Figure 5.

Figure 5

The total energy per a cell as a function of c/a (the tetragonal path) for CuX.

The B2 structure can be transformed into the L11 structure through the trigonal path, elongating or shortening the cubic structure along the (111) direction with the volume fixed to that of the B2 structure. Figure 6 shows the total energy as a function of cosγ, where γ is the angle between the primitive lattice vectors (see Methods for the details). For most of X, one can observe a double well-like energy curve with a potential energy barrier height of about 1 eV, indicating that the B2 (cosγ=0) and L11 (cosγ0.8) structures are energetically stable. The energy maximum at cosγ=0.5 corresponds to the B1 structure. For X=Ca, Sr, Ba, Sc, Y, and Lu, the energy curve around cosγ=0.5 is almost flat. In these compounds, the L11 structure was transformed into the B1 structure after the geometry optimization (see the Supplementary Information).

Figure 6.

Figure 6

The total energy per a cell as a function of cosγ (the trigonal path) for CuX.

The stability properties of CuX along the tetragonal and trigonal paths in Figs. 5 and 6 are almost consistent with those in Figs. 2 and 3. However, the energetic stability along the tetragonal and trigonal paths may not guarantee the dynamical stability of the structure27,33. This is because the phonon calculations investigate whether the Hessian of the potential energy is positive definite around the crystal structure considered, whereas the transformation path calculations restrict atomic displacements to only one distortion direction assumed. For X=Ti, Zr, and Hf (group 4), although the trigonal path calculations predict that the B2 and L11 structures are stable, CuX in those structures are unstable (see Figs. 2 and 3). This implies that other transformation paths may exist, i.e., the compound will show a phase transformation due to a negative curvature in the potential energy surface around the B2 and L11 structures. It will be desirable to perform more systematic calculations that investigate the interrelationship between metastable structures, as demonstrated in elemental metals34.

CuAu in the Bh and L11 structures

The experimental synthesis of the BHC CuAu has been reported recently6. Based on the phonon calculations, we confirmed that such a structure is dynamically stable15 and predicted that the Bh and L11 structures are also dynamically stable, as they are constructed from the 2D structures. We discuss the temperature effect on the stability in the 3D structures below.

For the Bh structure, the lattice parameters are a=2.858 Å and c/a=1.526. For the L11 structure, the lattice parameter is a=4.726 Å and the primitive vectors are (uvv), (vuv), and (vvu) in units of a/3 with u=0.239 and v=0.669. The total energy of the Bh and L11 structures are energetically higher than that of the L10 structure, the ground state structure of CuAu, by 0.176 eV and 0.138 eV per a cell. These values are much higher than the thermal energy at the ambient condition. As shown in Fig. 6, the potential barrier height (1 eV) between the L11 and the B2 ( L10) structures is also high enough not to yield the phase transition. Therefore, once synthesized, these metastable structures will be stable.

Figure 7(a) and (b) shows the temperature (T)-dependence of the atomic distribution in the Bh supercell at the end of the molecular dynamics (MD) simulation (5 ps). The Bh structure is stable up to T=1000 K because the structure of each layer (i.e., the 2D hexagonal layer of Au and Cu) is still preserved. When T=1500 K, the hexagonal symmetry in each layer is broken. When T is increased to 2000 K, the atomic displacements are significant, so that the layered structure is not observed. Similar tendency is observed in the L11 structure after the MD simulation of 4 ps, as shown in Fig. 7(c) and (d).

Figure 7.

Figure 7

The atomic distribution of the CuAu compounds after the MD simulation of 5 ps (Bh) and 4 ps (L11) for several Ts: (a) Top and (b) side views of the Bh structure and (c) top and (d) side views of the L11 structure.

Methods

The total energy and the optimized structures of CuX were calculated within the density-functional theory implemented in Quantum ESPRESSO (QE)35. We used the exchange-correlation functional of Perdew, Burke, and Ernzerhof (PBE)36 and the ultrasoft pseudopotentials in pslibrary.1.0.037. We used the cutoff energies of 80 and 800 Ry for the wavefunction and the charge density, respectively, used 20×20×1 k grid and 20×20×20 k grid for 2D and 3D structures, respectively38, and set the smearing parameter of σ=0.02 Ry39. For the BHC and BSQ structures, the size of the unit cell along the c axis was set to be 14 Å to avoid the spurious interaction between different unit cells. For the geometry optimization of the BHC, Bh, BSQ, B2, and L10 structures, the initial guess of the lattice parameters was set to the same as the optimized value obtained by our previous calculations15. The optimization calculations of the L11 structure was started by assuming cosγ=0.82 (γ=35 between the primitive lattice vectors) and the unit cell volume equal to that of the Bh structure.

For the tetragonal Bain path calculations, we first calculated the unit cell volume of the B2 structure, Ω0=a03 with the optimized lattice parameter a0, and next deformed the shape of the unit cell but by keeping the volume Ω0=a2c fixed, where the primitive lattice vectors are defined as (a, 0, 0), (0, a, 0),  and (0, 0, c). For the trigonal Bain path calculations, we also fixed the unit cell volume to be Ω0. By setting the input parameter ibrav to -5 in QE35, we defined the primitive lattice vectors as (uvv), (vuv),  and (vvu) in units of a/3. Given a parameter c=cosγ=(v2+2uv)/(u2+2v2) that is equal to the cosine of the angle between any pairs of primitive lattice vectors, in turn, we determined the values of au,  and v by using the relations Ω0=a3(1-c)1+2c, u=(1+2c)/3-2(1-c)/3, and v=(1+2c)/3+(1-c)/3.

We performed the spin-polarized calculations, where the total energy and forces are converged within 10-5 Ry and 10-4 a.u., respectively, which are smaller than the default values by a factor of ten. In our previous study, we performed the spin-unpolarized calculations by using the default values of the convergence criteria15. In the spin-polarized calculations, the finite magnetic moment was observed for CuX with X=Cr, Mn, Fe, Co, and Ni when a ferromagnetic state was assumed as an initial guess. As listed in Table 2, the size of the magnetic moment in the BHC and BSQ structures seems to be larger than that in their 3D counterparts. We also found that a few compounds show a finite magnetic moment: For the BHC structure, CuTi (0.87); for the B2 structure, CuHg (0.47), CuIr (0.47), CuRe (2.28), CuRh (1.02), and CuZr (0.01); and for the L10 structure, CuHf (0.01), CuRh (0.72), and CuZr (0.05), where the figure in parenthesis is in units of μB per a cell. It has been shown that the 2D elemental metals of Ba, group 2 (Sc and Y), group 3 (Ti, Zr, and Hf), V, group 8 (Ru and Os), group 9 (Rh and Ir), and group 10 (Pd and Pt) can have a finite magnetic moment12. This has been attributed to a decrease in the coordination number as well as a change in the electron DOS shape. Therefore, it will be helpful to study the effect of the electronic band structure on the dynamical stability of CuX, in addition to the geometric concept investigated in the present work. It will also be interesting to study the competition of the energetic stability between the ferromagnetic and antiferromagnetic phases in a systematic manner. However, these are beyond the scope of the present work.

Table 2.

The total magnetic moment of CuX (X=Cr, Mn, Fe, Co, and Ni) in the structure j. The figures are in units of μB per a cell (μB the Bohr magneton).

X BHC Bh L11 BSQ B2 L10
Cr 0.00 0.00 0.00 0.00 3.47 0.00
Mn 3.83 2.98 0.00 0.00 0.00 0.00
Fe 2.64 2.55 2.54 2.80 2.66 2.71
Co 1.70 1.67 1.65 1.84 1.53 1.74
Ni 0.47 0.30 0.00 0.55 0.41 0.43

The formation energy of CuX in the structure j per a unit cell including two atoms was calculated by

Ej(CuX)=εj(CuX)-12εmin(Cu)+εmin(X), 1

where εj(CuX) is the total energy of CuX in the structure j. εmin(X) is the minimum total energy of X, where this is determined by calculating the energy of the bcc, fcc, and hcp structures. Note that the functional dependence of the Ej of ordered compounds has been studied in detail4144. The use of the PBE functional can predict the value of Ej accurately for strongly bonded systems, while it may underestimate Ej for weakly bonded systems such as CuAu. The calculated values of Ej as well as those in the Materials Project (MP) database40 were provided in the Supplementary Information.

To show the numerical accuracy within the PBE calculations, we compared the lattice parameters with those in the MP database40, and the experimental values for the B2, L10, and L11 structures, as listed in Table 3. Except for CuPt, the agreement between the present calculations, the MP database40, and the experiment is good (the deviation is less ± 0.03 Å). The lattice parameters of CuX in the structure j were also provided in the Supplementary Information.

Table 3.

The lattice parameters of CuX in the B2 structure, CuAu in the L10 structure, and CuPt in the L11 structure. For the L11 structure, the parameters of the conventional unit cell (including six atoms) are listed.

X This work MP40 Experiment
Be 2.69 2.69 2.7016
Pd 3.01 3.02 2.9817
Sc 3.26 3.26 3.2618
Y 3.48 3.48 3.4819
Zn 2.96 2.96 2.9520
Zr 3.27 3.27 3.2621
Au (a) 2.87 2.86 2.8523
Au (c) 3.64 3.66 3.6723
Pt (a) 2.87 2.75 3.1324
Pt (c) 12.91 12.86 14.9824

The dynamical stability and the instability of CuX in the structure j were determined by the phonon DOS calculations within the density-functional perturbation theory45 implemented in the QE code35. We used more than a 6×6×1 q grid for the 2D structures (seven q points for the BHC and ten q points for the BSQ structures), 3×3×3 q grid (six q points) for the Bh and L10 structures, 3×3×3 q grid (four q points) for the B2 structure, and 2×2×2 q grid (four q points) for the L11 structure.

For the case of CuAu in the Bh and L11 structures, the MD simulation was performed by using the QE35. The 3×3×3 supercell (54 atoms) was used by considering only the Γ point in the Brillouin zone. The ionic temperature T is controlled by the velocity scaling method, where T=500, 1000, 1500, and 2000 K were assumed. The time step of the MD simulation was set to 20 a.u. (0.96 fs) and the number of the steps was set to 5250 (5.08 ps) and 4200 (4.06 ps) for the Bh and L11 structures, respectively.

Supplementary Information

Acknowledgements

This study was supported by the a Grant-in-Aid for Scientific Research (C) (Grant No. 21K04628) from JSPS. The computation was carried out using the facilities of the Supercomputer Center, the Institute for Solid State Physics, the University of Tokyo.

Author contributions

S.O. did the calculations, analysed the results, and wrote the manuscript.

Competing interests

The author declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-021-94034-6.

References

  • 1.Ashton M, Paul J, Sinnott SB, Hennig RG. Topology-scaling identification of layered solids and stable exfoliated 2D materials. Phys. Rev. Lett. 2017;118:106101. doi: 10.1103/PhysRevLett.118.106101. [DOI] [PubMed] [Google Scholar]
  • 2.Choudhary K, Kalish I, Beams R, Tavazza F. High-throughput identification and characterization of two-dimensional materials using density functional theory. Sci. Rep. 2017;7:5179. doi: 10.1038/s41598-017-05402-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Haastrup S, et al. The computational 2D materials database: High-throughput modeling and discovery of atomically thin crystals. 2D Materials. 2018;5:042002. doi: 10.1088/2053-1583/aacfc1. [DOI] [Google Scholar]
  • 4.Zhou J, et al. 2DMatPedia, an open computational database of two-dimensional materials from top-down and bottom-up approaches. Sci. Data. 2019;6:86. doi: 10.1038/s41597-019-0097-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Fukuda, M., Zhang, J., Lee, Y.-T. & Ozaki, T. A structure map for AB2 type 2D materials using high-throughput DFT calculations. Mater. Adv.10.1039/D0MA00999G (2021).
  • 6.Zagler G, et al. CuAu, a hexagonal two-dimensional metal. 2D Materials. 2020;7:045017. doi: 10.1088/2053-1583/ab9c39. [DOI] [Google Scholar]
  • 7.Aktürk E, Aktürk OU, Ciraci S. Single and bilayer bismuthene: Stability at high temperature and mechanical and electronic properties. Phys. Rev. B. 2016;94:014115. doi: 10.1103/PhysRevB.94.014115. [DOI] [Google Scholar]
  • 8.Kochat V, et al. Atomically thin gallium layers from solid-melt exfoliation. Sci.Adv. 2018;4:1701373. doi: 10.1126/sciadv.1701373. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Nevalaita J, Koskinen P. Atlas for the properties of elemental two-dimensional metals. Phys. Rev. B. 2018;97:035411. doi: 10.1103/PhysRevB.97.035411. [DOI] [Google Scholar]
  • 10.Hwang J, Oh YJ, Kim J, Sung MM, Cho K. Atomically thin transition metal layers: Atomic layer stabilization and metal-semiconductor transition. J. Appl. Phys. 2018;123:154301. doi: 10.1063/1.5024200. [DOI] [Google Scholar]
  • 11.Wang T, Park M, Yu Q, Zhang J, Yang Y. Stability and synthesis of 2D metals and alloys: A review. Mater. Today Adv. 2020;8:100092. doi: 10.1016/j.mtadv.2020.100092. [DOI] [Google Scholar]
  • 12.Ren Y, et al. Magnetism of elemental two-dimensional metals. J. Mater. Chem. C. 2021;9:4554–4561. doi: 10.1039/D1TC00438G. [DOI] [Google Scholar]
  • 13.Ono S. Dynamical stability of two-dimensional metals in the periodic table. Phys. Rev. B. 2020;102:165424. doi: 10.1103/PhysRevB.102.165424. [DOI] [Google Scholar]
  • 14.Ono S. Two-dimensional square lattice polonium stabilized by the spin-orbit coupling. Sci. Rep. 2020;10:11810. doi: 10.1038/s41598-020-68877-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Ono S, Satomi H. High-throughput computational search for two-dimensional binary compounds: Energetic stability versus synthesizability of three-dimensional counterparts. Phys. Rev. B. 2021;103:L121403. doi: 10.1103/PhysRevB.103.L121403. [DOI] [Google Scholar]
  • 16.Patskhverova LS. Nature of the δ phase in the copper-beryllium system. Sov. Phys. J. 1969;12:646. doi: 10.1007/BF00814859. [DOI] [Google Scholar]
  • 17.Subramanian PR, Laughlin DE. Cu-Pd (Copper-Palladium) J. Phase Equilib. 1991;12:231. doi: 10.1007/BF02645723. [DOI] [Google Scholar]
  • 18.Aldred, A. T. Intermediate phases involving scandium. Trans. Met. Soc. AIME224, (1962).
  • 19.Moriarty JL, Humphreys JE, Gordon RO, Baenziger NC. X-ray examination of some rare-earth-containing binary alloy systems. Acta Crystallogr. 1966;21:840. doi: 10.1107/S0365110X6600402X. [DOI] [Google Scholar]
  • 20.Shimizu S, Murakami Y, Kachi S. Lattice softening and martensitic transformation in Cu-Ni-Zn β phase alloys. J. Phys. Soc. Jpn. 1976;41:79–84. doi: 10.1143/JPSJ.41.79. [DOI] [Google Scholar]
  • 21.Carvalho E, Harris I. Constitutional and structural studies of the intermetallic phase, ZrCu. J. Mater. Sci. 1980;15:1224. doi: 10.1007/BF00551811. [DOI] [Google Scholar]
  • 22.Hull S, Keen DA. High-pressure polymorphism of the copper(i) halides: A neutron-diffraction study to 10 gpa. Phys. Rev. B. 1994;50:5868–5885. doi: 10.1103/PhysRevB.50.5868. [DOI] [PubMed] [Google Scholar]
  • 23.Okamoto H, Chakrabarti D, Laughlin D, Massalski TB. The Au-Cu (Gold-Copper) system. J. Phase Equilib. 1987;8:454. doi: 10.1007/BF02893155. [DOI] [Google Scholar]
  • 24.Massalski TB, Okamoto H, Subramanian PR, Kacprzak L. Binary Alloy Phase Diagrams. 2. Metals Park, OH: American Society for Metals; 1986. [Google Scholar]
  • 25.Nelson LJ, Hart GLW, Curtarolo S. Ground-state characterizations of systems predicted to exhibit L11 or L13 crystal structures. Phys. Rev. B. 2012;85:054203. doi: 10.1103/PhysRevB.85.054203. [DOI] [Google Scholar]
  • 26.Kane R, Giessen B, Grant N. New metastable phases in binary tin alloy systems. Acta Metall. 1966;14:605–609. doi: 10.1016/0001-6160(66)90068-X. [DOI] [Google Scholar]
  • 27.Grimvall G, Magyari-Köpe B, Ozoliņš V, Persson KA. Lattice instabilities in metallic elements. Rev. Mod. Phys. 2012;84:945–986. doi: 10.1103/RevModPhys.84.945. [DOI] [Google Scholar]
  • 28.Ono S, Ito T. Theory of dynamical stability for two- and three-dimensional Lennard-Jones crystals. Phys. Rev. B. 2021;103:075406. doi: 10.1103/PhysRevB.103.075406. [DOI] [Google Scholar]
  • 29.Hart GLW, Forcade RW. Generating derivative structures from multilattices: Algorithm and application to hcp alloys. Phys. Rev. B. 2009;80:014120. doi: 10.1103/PhysRevB.80.014120. [DOI] [Google Scholar]
  • 30.Kolli SK, Natarajan AR, Thomas JC, Pollock TM, Van der Ven A. Discovering hierarchies among intermetallic crystal structures. Phys. Rev. Mater. 2020;4:113604. doi: 10.1103/PhysRevMaterials.4.113604. [DOI] [Google Scholar]
  • 31.Ono S, Kobayashi D. Lattice stability of ordered Au-Cu alloys in the warm dense matter regime. Phys. Rev. B. 2021;103:094114. doi: 10.1103/PhysRevB.103.094114. [DOI] [Google Scholar]
  • 32.Ono S, Yuhara J, Onoe J. Theoretical prediction on the immiscible Pb-Sn alloy stabilized on metal surfaces. Chem. Phys. Lett. 2021;776:138696. doi: 10.1016/j.cplett.2021.138696. [DOI] [Google Scholar]
  • 33.Giret Y, Daraszewicz SL, Duffy DM, Shluger AL, Tanimura K. Nonthermal solid-to-solid phase transitions in tungsten. Phys. Rev. B. 2014;90:094103. doi: 10.1103/PhysRevB.90.094103. [DOI] [Google Scholar]
  • 34.Togo A, Tanaka I. Evolution of crystal structures in metallic elements. Phys. Rev. B. 2013;87:184104. doi: 10.1103/PhysRevB.87.184104. [DOI] [Google Scholar]
  • 35.Giannozzi P, et al. Advanced capabilities for materials modelling with quantum ESPRESSO. J. Phys.: Condens. Matter. 2017;29:465901. doi: 10.1088/1361-648x/aa8f79. [DOI] [PubMed] [Google Scholar]
  • 36.Perdew JP, Burke K, Ernzerhof M. Generalized gradient approximation made simple. Phys. Rev. Lett. 1996;77:3865–3868. doi: 10.1103/PhysRevLett.77.3865. [DOI] [PubMed] [Google Scholar]
  • 37.Dal Corso A. Pseudopotentials periodic table: From H to Pu. Comput. Mater. Sci. 2014;95:337–350. doi: 10.1016/j.commatsci.2014.07.043. [DOI] [Google Scholar]
  • 38.Monkhorst HJ, Pack JD. Special points for Brillouin-zone integrations. Phys. Rev. B. 1976;13:5188–5192. doi: 10.1103/PhysRevB.13.5188. [DOI] [Google Scholar]
  • 39.Marzari N, Vanderbilt D, De Vita A, Payne MC. Thermal contraction and disordering of the Al(110) surface. Phys. Rev. Lett. 1999;82:3296–3299. doi: 10.1103/PhysRevLett.82.3296. [DOI] [Google Scholar]
  • 40.Jain A, et al. Commentary: The Materials Project: A materials genome approach to accelerating materials innovation. APL Mater. 2013;1:011002. doi: 10.1063/1.4812323. [DOI] [Google Scholar]
  • 41.Zhang Y, Kresse G, Wolverton C. Nonlocal first-principles calculations in Cu-Au and other intermetallic alloys. Phys. Rev. Lett. 2014;112:075502. doi: 10.1103/PhysRevLett.112.075502. [DOI] [PubMed] [Google Scholar]
  • 42.Isaacs EB, Wolverton C. Performance of the strongly constrained and appropriately normed density functional for solid-state materials. Phys. Rev. Mater. 2018;2:063801. doi: 10.1103/PhysRevMaterials.2.063801. [DOI] [Google Scholar]
  • 43.Nepal NK, Adhikari S, Bates JE, Ruzsinszky A. Treating different bonding situations: Revisiting Au-Cu alloys using the random phase approximation. Phys. Rev. B. 2019;100:045135. doi: 10.1103/PhysRevB.100.045135. [DOI] [Google Scholar]
  • 44.Nepal NK, Adhikari S, Neupane B, Ruzsinszky A. Formation energy puzzle in intermetallic alloys: Random phase approximation fails to predict accurate formation energies. Phys. Rev. B. 2020;102:205121. doi: 10.1103/PhysRevB.102.205121. [DOI] [Google Scholar]
  • 45.Baroni S, de Gironcoli S, Dal Corso A, Giannozzi P. Phonons and related crystal properties from density-functional perturbation theory. Rev. Mod. Phys. 2001;73:515–562. doi: 10.1103/RevModPhys.73.515. [DOI] [Google Scholar]

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