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Complete active space configuration interaction from state-averaged configuration interaction singles natural
B Scott Fales1, Yinan Shu2, Benjamin G Levine1
1Department of Chemistry, Michigan State University, East Lansing, Michigan 48824, USA.
A new computational method, configuration interaction singles natural orbital CASCI (CISNO-CASCI), now offers analytic derivatives for efficient photochemical simulations. This advancement enables dynamical simulations of large molecular systems.
Area of Science:
- Quantum Chemistry
- Computational Chemistry
- Photochemistry
Background:
- A novel complete active space configuration interaction (CASCI) method, CISNO-CASCI, utilizes state-averaged natural orbitals.
- This method demonstrates comparable or superior performance to state-averaged complete active space self-consistent field (SA-CASSCF) for various molecular systems.
- Development has been hindered by the absence of analytic first derivatives and derivative couplings for CISNO-CASCI.
Purpose of the Study:
- To develop and implement analytic first derivatives and derivative couplings for the CISNO-CASCI method.
- To accelerate the computation of these derivatives using graphical processing units (GPUs).
- To assess the practicality of the enhanced CISNO-CASCI method for large-scale photochemical simulations.
Main Methods:
- A Lagrangian-based formulation was employed to derive the analytic first derivatives of the CISNO-CASCI energy.
- An efficient computational implementation of the derived equations was developed.
- The implementation was accelerated using graphical processing units (GPUs).
Main Results:
- Analytic first derivatives and derivative couplings for CISNO-CASCI were successfully formulated and implemented.
- The GPU acceleration significantly enhanced computational efficiency.
- The study demonstrated the method's capability for simulating photochemical processes.
Conclusions:
- The developed analytic derivatives and GPU implementation make CISNO-CASCI practical for dynamical simulations.
- The method is suitable for studying photochemical processes in large molecular systems (hundreds of atoms).
- This advancement opens new avenues for theoretical investigations in photochemistry.
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