Table 2 Summary of computational components and available approaches for DFT modeling of HEMs

From: Toward high entropy material discovery for energy applications using computational and machine learning methods

Computational component

Available approaches

Rationale for selection

Exchange-Correlation Functional

Local density approximation (LDA), Generalized gradient approximation (GGA-PBE, GGA-PW91), meta-GGA (SCAN, r²SCAN), Hybrid functionals (HSE06, B3LYP)

GGA and GGA + U are widely used for magnetic high-entropy materials72,212,213,214, but LDA struggles with strong electronic correlations in d and f orbital systems, leading to incorrect magnetic moments and crystal structures215. GGA improves accuracy over LDA but struggles to fully capture strong electronic correlations. The accuracy of GGA + U depends heavily on careful tuning of the U parameter216. Hybrid functionals (e.g., HSE06) improve accuracy through Hartree-Fock exchange but are computationally intensive for large systems217. Despite DFT convergence challenges, r2SCAN meta-GGA excels for structural, mechanical, and thermophysical properties in high-throughput alloy studies216.

Hubbard U Correction

Standard DFT without +U, DFT + U (Dudarev, Liechtenstein), Self-consistent U calculations

The Hubbard U correction is applied in HEM modeling to address strong electronic correlations in d and f orbitals, which standard GGA fails to capture accurately, leading to errors in magnetic and electronic properties47. Dudarev’s approach218, add an on-site Coulomb term, improving predictions but requiring careful tuning of the U parameter. Liechtenstein’s method separately treats Coulomb and exchange interactions for enhanced accuracy219. Self-consistent U calculations dynamically determine U, reducing empirical tuning.

Pseudopotential

Norm-conserving pseudopotentials, Ultrasoft pseudopotentials (USPP), Projector augmented wave (PAW)

Norm-conserving pseudopotentials ensure accurate wavefunctions but are computationally demanding. USPPs reduce computational cost by softening the potential, though they may compromise some accuracy. PAW combines high accuracy with efficiency, reconstructing all-electron wavefunctions near nuclei, making it ideal for complex HEMs with d and f orbitals220.

Dispersion Correction

No dispersion, DFT-D2, DFT-D3, Tkatchenko-Scheffler (TS)

No dispersion correction may lead to inaccurate structural and energetic predictions. DFT-D2221 provides a simple pairwise correction but can overestimate dispersion in some systems. DFT-D3222 improves accuracy with environment-dependent terms, better handling complex HEMs. The Tkatchenko-Scheffler (TS) method offers further refinement by incorporating self-consistent polarizability, enhancing precision for diverse compositions223.