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Published on: May 27, 2020
A variance-based optimization for determining ground and excited N-electron wave functions within the doubly occupied
Diego R Alcoba1,2, Ofelia B Oña3, Alicia Torre4
1Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Física, Ciudad Universitaria, 1428 Buenos Aires, Argentina.
Simulated annealing optimizes N-electron wave functions by minimizing energy variance, enabling accurate determination of ground and excited states. This computational chemistry method offers a novel approach to electronic structure calculations.
Area of Science:
- Quantum Chemistry
- Computational Physics
- Materials Science
Background:
- Accurate determination of N-electron system wave functions is crucial for understanding molecular properties and electronic spectra.
- Traditional methods for solving the Schrödinger equation can be computationally intensive, especially for larger systems.
- Configuration interaction (CI) methods offer a systematic way to improve wave function accuracy.
Purpose of the Study:
- To explore the application of simulated annealing (SA) for optimizing wave functions within the doubly occupied configuration interaction (CI) framework.
- To investigate the ability of SA to determine both ground and excited electronic states by minimizing energy variance.
- To compare the performance of SA-based methods with traditional energy minimization approaches and full CI.
Main Methods:
- Utilized the simulated annealing technique to minimize the energy variance of a Hamiltonian for N-electron systems.
- Employed the doubly occupied configuration interaction (CI) framework.
- Performed calculations using both restricted and unrestricted treatments.
- Compared results with traditional energy minimization and full configuration interaction (FCI) methods.
Main Results:
- Simulated annealing successfully determined wave functions for ground and excited states by minimizing energy variance.
- The method demonstrated comparable performance to traditional energy minimization techniques.
- Analysis of energy, spin, and wave function characteristics provided insights into the efficacy of SA-based approaches.
- SA offers a viable alternative for electronic structure calculations, particularly for determining excited states.
Conclusions:
- Simulated annealing is an effective technique for optimizing N-electron wave functions within the doubly occupied CI framework.
- Minimizing energy variance provides a robust route to identifying both ground and excited electronic states.
- The SA approach presents a promising computational tool for electronic structure research, complementing existing methodologies.
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