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Analytical energy gradients for local second-order Møller-Plesset perturbation theory using density fitting
Martin Schütz1, Hans-Joachim Werner, Roland Lindh
1Institut fur Theoretische Chemie, Universitat Stuttgart, Pfaffenwaldring 55, D-70569 Stuttgart, Germany. schuetz@theochem.uni-stuttgart.de
The Journal of Chemical Physics
|July 21, 2004
Summary
This study introduces an efficient computational method for calculating analytical energy derivatives in local second-order Møller-Plesset perturbation theory. The new approach significantly enhances computational efficiency for larger molecules and basis sets, maintaining accuracy.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Accurate calculation of energy derivatives is crucial for understanding molecular properties and reaction mechanisms.
- Second-order Møller-Plesset perturbation theory (MP2) provides a balance of accuracy and computational cost for electronic structure calculations.
- Scaling limitations of traditional MP2 methods hinder their application to large molecular systems.
Purpose of the Study:
- To develop an efficient method for computing analytical energy derivatives for local MP2.
- To leverage density fitting approximations to reduce computational scaling.
- To enable accurate calculations for larger molecules and basis sets.
Main Methods:
- Implementation of analytical energy derivative calculations using local second-order Møller-Plesset perturbation theory.
- Application of density fitting approximations for all four-index integrals and their derivatives.
- Utilizing local fitting approximations to achieve favorable computational scaling.
Main Results:
- Achieved quadratic scaling with molecular size and cubic scaling with basis set size.
- Demonstrated negligible impact of density fitting on the accuracy of optimized structures and energy differences.
- Successfully applied the method to large organic molecules and molecular clusters, including geometry optimizations of systems with over 100 atoms and 2000 basis functions.
Conclusions:
- The developed method offers significant computational efficiency improvements for local MP2 energy derivative calculations.
- The approach allows for the study of much larger systems than previously feasible with MP2 gradient programs.
- The method provides an accurate and efficient tool for computational chemistry research.