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Complete Active Space Self-Consistent Field with GPU-Accelerated Density Fitting.

Ruiyan Wang1,2, Yuanheng Wang1,2, Lixin Lu1,2

  • 1Department of Chemistry and The PULSE Institute, Stanford University, Stanford, California 94305, United States.

Journal of Chemical Theory and Computation
|March 19, 2026
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Summary
This summary is machine-generated.

We developed a faster computational method for complex photochemical processes using GPU-accelerated density fitting for complete active space self-consistent field (CASSCF) calculations. This approach significantly reduces simulation time for ab initio molecular dynamics.

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Photochemistry

Background:

  • The complete active space self-consistent field (CASSCF) method is crucial for modeling photochemical reactions.
  • Computational expense of four-center two-electron repulsion integrals (ERIs) limits CASSCF in ab initio molecular dynamics.
  • Need for efficient methods to accelerate multireference calculations on modern hardware.

Purpose of the Study:

  • To implement an atomic orbital (AO)-based GPU-accelerated density fitting (DF) approximation for CASSCF.
  • To reduce the computational cost of CASSCF calculations in ab initio molecular dynamics.
  • To enable high-throughput, high-accuracy multireference simulations on GPU architectures.

Main Methods:

  • Implementation of AO-based GPU-accelerated DF approximation for CASSCF within the TeraChem software.
  • Validation using salicylaldimine to assess accuracy of relative and excitation energies.
  • Ab initio multiple spawning dynamics simulations of excited-state intramolecular proton transfer (ESIPT).

Main Results:

  • The DF approximation introduces negligible errors in relative energies (<10 microHartrees for excitation energies).
  • DF-CASSCF achieves significant speedups (>10x) for total energy and gradient calculations.
  • DF-CASSCF simulations of ESIPT reduce wall time by 3-30x compared to integral-direct methods.

Conclusions:

  • GPU-accelerated DF-CASSCF provides a computationally efficient and accurate approach for multireference simulations.
  • This method significantly lowers the barrier for complex photochemical process modeling.
  • Enables practical application of high-accuracy ab initio molecular dynamics on modern GPU hardware.