Highlights
Efficient all-electron hybrid density functionals for atomistic simulations beyond 10 000 atoms
Exchange-correlation approximations that include a fraction of exact exchange, so called hybrid exchange-correlation functionals, offer compelling accuracy for ab initio electronic-structure simulations of molecules, nanosystems, and bulk materials. They address some deficiencies of computationally cheaper, frequently used semilocal DFAs. However, the computational bottleneck of hybrid DFAs is the evaluation of the non-local exact exchange contribution, which is the limiting factor for the application of the method for large-scale simulations.
A team consisting of researchers in Berlin, Hamburg, Garching, Stuttgart (Germany), Espoo (Finland), and Durham (USA) has developed a highly optimized implementation of exact exchange calculations in the all-electron code FHI-aims. This advance applies to both periodic and non-periodic systems and is designed for high-performance CPU clusters. By leveraging refined MPI-3 parallelization techniques, shared memory arrays, and parallelization over basis functions, the team achieved substantial improvements in memory efficiency, computational performance, and workload distribution. Their optimized implementation achieves nearly perfect linear scaling with system size and ideal speedup with increasing node count, resulting in runtime reductions of over 100 times for large systems compared to the previous implementation. Excellent scaling and accuracy is maintained even for simulations of systems exceeding 10,000 atoms.
The implementation's efficiency was demonstrated for production settings for a diverse range of chemical systems, including complex materials like hybrid perovskites, organic crystals, and ice structures with up to 30,576 atoms (101,920 electrons described by 244,608 basis functions). These advances enable hybrid DFA calculations with FHI-aims for complex nanoscale systems across chemistry and materials science without a compromise in accuracy, opening new possibilities for accurate simulations of defects, interfaces, and other phenomena requiring large structural models.
The full reference for the published article is:
Kokott, S., et al., J. Chem. Phys. 161, 024112 (2024), DOI: 10.1063/5.0208103