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Parallel coupled perturbed CASSCF equations and analytic CASSCF second derivatives.
Timothy J Dudley1, Ryan M Olson, Michael W Schmidt
1Villanova University, 800 Lancaster Avenue, Villanova, PA 19885-1699, USA. timothy.dudley@villanova.edu
Journal of Computational Chemistry
|December 21, 2005
Summary
This study introduces a parallel algorithm for solving complex quantum chemistry equations, demonstrating its scalability and effectiveness for calculating molecular properties. The new method efficiently handles large computational tasks, improving scientific research capabilities.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Solving complex quantum chemistry equations is computationally intensive.
- Efficient calculation of analytic nuclear second derivatives is crucial for molecular property analysis.
Purpose of the Study:
- To present a parallel algorithm for coupled-perturbed MCSCF (CPMCSCF) equations and CASSCF analytic nuclear second derivatives.
- To describe a parallel scheme for evaluating derivative integrals and related quantities.
Main Methods:
- A parallelization strategy partitioning the electronic Hessian matrix across processors.
- Implementation of a parallel scheme for derivative integral evaluation.
Main Results:
- Demonstrated scalability of the parallel algorithm up to 128 processors.
- Parallelization of derivative integral evaluation proved highly effective across different basis set sizes.
- Parallelization of MCSCF electronic Hessian construction showed high scalability.
Conclusions:
- The developed parallel algorithm is effective and scalable for CPMCSCF equations and CASSCF derivatives.
- The parallel scheme for derivative integrals offers significant computational advantages.
- This approach enhances the feasibility of large-scale quantum chemistry calculations.