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DOE OSTI · 3017084

GPU-Accelerated Solution of the Bethe–Salpeter Equation for Large and Heterogeneous Systems

Abstract

We present a massively parallel GPU-accelerated implementation of the Bethe–Salpeter equation (BSE) for the calculation of the vertical excitation energies (VEEs) and optical absorption spectra of condensed and molecular systems, starting from single-particle eigenvalues and eigenvectors obtained with density functional theory. The algorithms adopted here circumvent the slowly converging sums over empty and occupied states and the inversion of large dielectric matrices through a density matrix perturbation theory approach and a low-rank decomposition of the screened Coulomb interaction, respectively. Further computational savings are achieved by exploiting the nearsightedness of the density matrix of semiconductors and insulators to reduce the number of screened Coulomb integrals. We scale our calculations to thousands of GPUs with a hierarchical loop and data distribution strategy. The efficacy of our method is demonstrated by computing the VEEs of several spin defects in wide-band-gap materials, showing that supercells with up to 1000 atoms are necessary to obtain converged results. We discuss the validity of the common approximation that solves the BSE with truncated sums over empty and occupied states. In conclusion, we then apply our GW-BSE implementation to a diamond lattice with 1727 atoms to study the symmetry breaking of triplet states caused by the interaction of a point defect with an extended line defect.

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BibTeXRIS

Yu, Victor Wen-zhe [Argonne National Laboratory (ANL), Argonne, IL (United States)] (ORCID:0000000265681244), Jin, Yu [Univ. of Chicago, IL (United States)] (ORCID:0000000260739953), Galli, Giulia [Argonne National Laboratory (ANL), Argonne, IL (United States); Univ. of Chicago, IL (United States)] (ORCID:0000000280015290), Govoni, Marco [Argonne National Laboratory (ANL), Argonne, IL (United States); Univ. of Chicago, IL (United States); University of Modena and Reggio Emilia, Modena (Italy)] (ORCID:0000000163032403). 2024-12-11. GPU-Accelerated Solution of the Bethe–Salpeter Equation for Large and Heterogeneous Systems. https://doi.org/10.1021/acs.jctc.4c01253

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