TY - JOUR
T1 - Simultaneous Optimization of Nuclear-Electronic Orbitals
AU - Liu, Aodong
AU - Chow, Mathew
AU - Wildman, Andrew
AU - Frisch, Michael J.
AU - Hammes-Schiffer, Sharon
AU - Li, Xiaosong
N1 - Publisher Copyright:
© 2022 American Chemical Society. All rights reserved.
PY - 2022/10/6
Y1 - 2022/10/6
N2 - Accurate modeling of important nuclear quantum effects, such as nuclear delocalization, zero-point energy, and tunneling, as well as non-Born-Oppenheimer effects, requires treatment of both nuclei and electrons quantum mechanically. The nuclear-electronic orbital (NEO) method provides an elegant framework to treat specified nuclei, typically protons, on the same level as the electrons. In conventional electronic structure theory, finding a converged ground state can be a computationally demanding task; converging NEO wavefunctions, due to their coupled electronic and nuclear nature, is even more demanding. Herein, we present an efficient simultaneous optimization method that uses the direct inversion in the iterative subspace method to simultaneously converge wavefunctions for both the electrons and quantum nuclei. Benchmark studies show that the simultaneous optimization method can significantly reduce the computational cost compared to the conventional stepwise method for optimizing NEO wavefunctions for multicomponent systems.
AB - Accurate modeling of important nuclear quantum effects, such as nuclear delocalization, zero-point energy, and tunneling, as well as non-Born-Oppenheimer effects, requires treatment of both nuclei and electrons quantum mechanically. The nuclear-electronic orbital (NEO) method provides an elegant framework to treat specified nuclei, typically protons, on the same level as the electrons. In conventional electronic structure theory, finding a converged ground state can be a computationally demanding task; converging NEO wavefunctions, due to their coupled electronic and nuclear nature, is even more demanding. Herein, we present an efficient simultaneous optimization method that uses the direct inversion in the iterative subspace method to simultaneously converge wavefunctions for both the electrons and quantum nuclei. Benchmark studies show that the simultaneous optimization method can significantly reduce the computational cost compared to the conventional stepwise method for optimizing NEO wavefunctions for multicomponent systems.
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U2 - 10.1021/acs.jpca.2c05172
DO - 10.1021/acs.jpca.2c05172
M3 - Article
C2 - 36154137
AN - SCOPUS:85139207171
SN - 1089-5639
VL - 126
SP - 7033
EP - 7039
JO - Journal of Physical Chemistry A
JF - Journal of Physical Chemistry A
IS - 39
ER -