analytic energy derivatives

Analytic energy derivatives play a central role in modern electronic structure theory, enabling efficient geometry optimizations, vibrational frequency analyses, and molecular property calculations. Compared to numerical differentiation, analytic gradients are both more accurate and computationally efficient, avoiding the huge cost associated with finite-difference approaches.

We have derived analytic nuclear energy gradients for the second-order perturbation theory based on the driven similarity renormalization group (DSRG) [1], [2]. This development makes it possible to perform reliable geometry optimizations and explore potential energy surfaces within the DSRG framework, extending its applicability beyond single-point energy calculations.

In collaboration with Professor Wenjie Dou at Westlake University, we have developed analytic nuclear gradients for the stochastic resolution-of-identity CC2 method [3], [4]. By combining stochastic tensor factorization with efficient gradient theory, these works enable cost-effective structure optimizations and excited-state studies for large molecular systems while maintaining high accuracy.


References

2025

  1. JCP
    Stochastic resolution of identity to CC2 for large systems: Oscillator strength and ground state gradient calculations
    Chongxiao Zhao, Qi Ou*, Chenyang Li*, and Wenjie Dou*
    J. Chem. Phys., Jul 2025
  2. JCP
    Stochastic resolution of identity to CC2 for large systems: Excited-state gradients and derivative couplings
    Chongxiao Zhao, Chenyang Li*, and Wenjie Dou*
    J. Chem. Phys., Dec 2025

2021

  1. Analytic Energy Gradients for the Driven Similarity Renormalization Group Multireference Second-Order Perturbation Theory
    Shuhe Wang*, Chenyang Li*, and Francesco A. Evangelista*
    J. Chem. Theory Comput., Dec 2021

2019

  1. JCP
    Analytic gradients for the single-reference driven similarity renormalization group second-order perturbation theory
    Shuhe Wang, Chenyang Li*, and Francesco A Evangelista
    J. Chem. Phys., Jul 2019