An extremely efficient algorithm for (2,2) dynamically weighted constrained complete active space calculations

J Junhan Chen (Department of Chemistry, Princeton University 1 , Princeton, New Jersey 08544,) X Xinchun Wu Y Yihan Shao (Department of Chemistry) J Joseph Subotnik (Department of Chemistry, Princeton University 1 , Princeton, New Jersey 08544,) T Tian Qiu (Department of Chemical and Systems Biology, ChEM-H and Stanford Cancer Institute, Stanford Medical School)

Abstract

Electron transfer at a metal surface lies at the heart of most electrochemical processes, but the process is very challenging to model accurately with modern computational power. Here, we report an efficient algorithm for performing a dynamically weighted, state-averaged, constrained complete active space self-consistent field calculation with two electrons in two orbitals [DW-SA-cCASSCF(2,2)], an inexpensive algorithm that has the power to generate a balanced pair of charge-transfer-related ground and excited state energy surfaces. Relative to previous approaches, the current algorithm reduces the computing effort substantially, such that the end result has a computational cost comparable to a mean-field level of calculation, for example, a Hartree–Fock calculation. Thus, we anticipate that the method should be applicable for nonadiabatic dynamics in the near future, allowing us to gain computational insights into heterogeneous electron transfer processes.

Article Details

Volume / Issue Vol. 163, Issue 14
Published October 14, 2025
ISSN 0021-9606
Publisher American Institute of Physics

Journal Info

The Journal of Chemical Physics

American Institute of Physics

ISSN: 0021-9606 Physical Sciences

Authors (5)

J

Junhan Chen

Department of Chemistry, Princeton University 1 , Princeton, New Jersey 08544,

X

Xinchun Wu

Y

Yihan Shao

Department of Chemistry

J

Joseph Subotnik

Department of Chemistry, Princeton University 1 , Princeton, New Jersey 08544,

T

Tian Qiu

Department of Chemical and Systems Biology, ChEM-H and Stanford Cancer Institute, Stanford Medical School