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Page 12 of 45                         Mooraj et al. J Mater Inf 2023;3:4  https://dx.doi.org/10.20517/jmi.2022.41


































                Figure 5. (A) Predicted formation energy and density per atom of  BCC  lattice  structure  in  AlCoCrFeNi  system  calculated  via  the
                SSOS method as a function of Al and Cr content, the color denotes the Ni content, and marker size denotes the Co content. This
                figure is quoted with permission from Sorkin  et al. [92] ; (B) plot of predicted elastic constants (C , C , C ), Poisson ratio, and Bulk
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                modulus to shear modulus ratio calculated with the VCA model as a function of Ti in the Ti VNbMo system. This figure is quotedwith
                                                                             x
                permission from Chen [104] . BCC: Body-centered cubic; SSOS: small set of ordered structures.
               seen that the addition of Al leads to a substantial decrease in the formation energy of the BCC phase. After
               calculating the same parameters for the FCC phase, the authors found that the difference in the formation
               energies of BCC and FCC (ΔE BCC→FCC   = E  - E ) goes from positive to  negative  as  the Al content
                                                          FCC
                                                    BCC
               increases, which is consistent with DFT calculations of the system. These results illustrate that the PSSOS
               method provides a new opportunity to achieve similar accuracy predictions of phase formations as DFT but
               with much cheaper computational costs, making this method highly suitable for high-throughput
               exploration of HEA space.


               Virtual crystal approximation (VCA) serves as a computationally efficient alternative to more complex first-
               principles methods like special quasirandom structure (SQS) and similar local atomic environment (SLAE).
               Normally,  DFT  methods  must  use  approximations  to  study  highly  disordered  systems . The
                                                                                                   [102]
               approximation is carried out by constructing a supercell that contains multiple disordered configurations
               with artificially imposed boundary conditions . However, such calculations require large supercells that
                                                       [102]
               are computationally taxing to utilize in DFT calculations. VCA deals with this issue using a pseudo-
               potential that averages the properties of each atom in different positions in the lattice cell. Ramer and Rappe
               previously investigated multiple methods to produce the averaged pseudo-potential such as averaging the
               pseudo-potentials for each atom within the lattice and averaging ‘all-electron results’ . It was found that
                                                                                        [103]
               the averaging of ‘all-electron results’ provided the most accurate result when compared to experiments. This
               method involved averaging the Coulombic potentials and charge densities of the constituent atoms and
               then using these values to generate wavefunctions that are self-consistent solutions to the Kohn-Sham
               equation .
                       [103]
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