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Automatic computer procedure for generating exact and analytical kinetic energy operators based on the polyspherical
Mamadou Ndong1, Loïc Joubert-Doriol, Hans-Dieter Meyer
1CNRS, Laboratoire de Chimie Physique (UMR 8000), Université Paris-Sud, F-91405 Orsay, France.
A new code automatically generates exact kinetic energy operators using polyspherical coordinates. This computational tool simplifies molecular system analysis, including rotation and Coriolis coupling, for various vector sets and system sizes.
Area of Science:
- Computational Chemistry
- Quantum Mechanics
- Molecular Physics
Background:
- Deriving exact analytical kinetic energy operators is crucial for accurate molecular simulations.
- Traditional methods can be complex and time-consuming, especially for large molecular systems.
- Polyspherical coordinates offer a flexible framework for describing molecular geometries.
Purpose of the Study:
- To develop a general computational code for automatically deriving exact analytical kinetic energy operators.
- To implement computer procedures based on symbolic calculations for operator derivation.
- To handle molecular systems parametrized by orthogonal or non-orthogonal vectors in polyspherical coordinates.
Main Methods:
- Development of a general code utilizing symbolic computation.
- Implementation of procedures to derive kinetic energy operators in polyspherical coordinates.
- Parametrization of molecular systems using sets of orthogonal or non-orthogonal vectors.
Main Results:
- The code successfully derives exact analytical kinetic energy operators for molecular systems.
- The derived operators accurately include terms for overall rotation and Coriolis coupling.
- The program's correctness was validated across different vector sets and system sizes.
Conclusions:
- The developed code provides an efficient and general method for obtaining exact kinetic energy operators.
- This tool facilitates advanced quantum mechanical calculations in molecular systems.
- The implementation demonstrates the feasibility of automated derivation for complex operators.
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