Reduced scaling extended multi-state CASPT2 (XMS-CASPT2) using supporting subspaces and tensor hyper-contraction
Abstract
We present a reduced scaling formulation of the extended multi-state CASPT2 (XMS-CASPT2) method, which is based on our recently developed state-specific CASPT2 (SS-CASPT2) formulation using supporting subspaces and tensor hyper-contraction. By using these two techniques, the off-diagonal elements of the effective Hamiltonian can be computed with only O(N3) operations and O(N2) memory, where N is the number of basis functions. Furthermore, this limits the overall computational scaling to O(N4) operations and O(N2) memory. Thus, excited states can now be obtained at the same reduced (relative to previous algorithms) scaling we achieved for SS-CASPT2.
- Authors:
-
- Stanford Univ., CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)
- Publication Date:
- Research Org.:
- SLAC National Accelerator Lab., Menlo Park, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC); National Science Foundation (NSF)
- OSTI Identifier:
- 1647294
- Grant/Contract Number:
- AC02-76SF00515; 15-65249; 14-29830l CHE-1565249; ACI-1429830
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Chemical Physics
- Additional Journal Information:
- Journal Volume: 152; Journal Issue: 23; Journal ID: ISSN 0021-9606
- Publisher:
- American Institute of Physics (AIP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; Complete-active space self-consistent field; Fock operator; Excited state energies; Correlation-consistent basis sets; Graphics processing units; Proteins; Potential energy surfaces; Quantum mechanical/molecular mechanical calculations; Perturbation theory; Excitation energies
Citation Formats
Song, Chenchen, and Martínez, Todd J. Reduced scaling extended multi-state CASPT2 (XMS-CASPT2) using supporting subspaces and tensor hyper-contraction. United States: N. p., 2020.
Web. doi:10.1063/5.0007417.
Song, Chenchen, & Martínez, Todd J. Reduced scaling extended multi-state CASPT2 (XMS-CASPT2) using supporting subspaces and tensor hyper-contraction. United States. https://doi.org/10.1063/5.0007417
Song, Chenchen, and Martínez, Todd J. Wed .
"Reduced scaling extended multi-state CASPT2 (XMS-CASPT2) using supporting subspaces and tensor hyper-contraction". United States. https://doi.org/10.1063/5.0007417. https://www.osti.gov/servlets/purl/1647294.
@article{osti_1647294,
title = {Reduced scaling extended multi-state CASPT2 (XMS-CASPT2) using supporting subspaces and tensor hyper-contraction},
author = {Song, Chenchen and Martínez, Todd J.},
abstractNote = {We present a reduced scaling formulation of the extended multi-state CASPT2 (XMS-CASPT2) method, which is based on our recently developed state-specific CASPT2 (SS-CASPT2) formulation using supporting subspaces and tensor hyper-contraction. By using these two techniques, the off-diagonal elements of the effective Hamiltonian can be computed with only O(N3) operations and O(N2) memory, where N is the number of basis functions. Furthermore, this limits the overall computational scaling to O(N4) operations and O(N2) memory. Thus, excited states can now be obtained at the same reduced (relative to previous algorithms) scaling we achieved for SS-CASPT2.},
doi = {10.1063/5.0007417},
journal = {Journal of Chemical Physics},
number = 23,
volume = 152,
place = {United States},
year = {Wed Jun 17 00:00:00 EDT 2020},
month = {Wed Jun 17 00:00:00 EDT 2020}
}
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