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Published on: May 27, 2020
Predicting the Post-Hartree-Fock Electron Correlation Energy of Complex Systems with the Information-Theoretic
Ping Wang1, Dongxiong Hu2, Linling Lu3,4
1Key Laboratory of High Performance Scientific Computation, School of Science, Xihua University, Chengdu 610039, China.
Predicting electron correlation energies is challenging. This study shows that physics-inspired information-theoretic approach (ITA) quantities, using linear regression (LR), can accurately predict these energies for diverse complex systems.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Accurate prediction of electron correlation energies is crucial for understanding molecular behavior.
- Existing methods for calculating post-Hartree-Fock energies are computationally expensive.
- Developing cost-effective methods to predict electron correlation energies remains an open challenge.
Purpose of the Study:
- To expand the linear regression (LR) combined with information-theoretic approach (ITA) protocol for predicting electron correlation energies.
- To test the LR(ITA) method on a wider range of complex systems, including isomers, polymers, and molecular clusters.
- To validate the accuracy of LR(ITA) against established methods like linear-scaling generalized energy-based fragmentation (GEBF).
Main Methods:
- Application of the LR(ITA) protocol to diverse chemical systems.
- Utilized Hartree-Fock calculations to obtain necessary quantities for LR(ITA).
- Employed the linear-scaling generalized energy-based fragmentation (GEBF) method for large molecular clusters.
Main Results:
- The LR(ITA) protocol successfully predicted post-Hartree-Fock electron correlation energies for octane isomers, polymers (polyne, polyene, polymethineimine, acene), and various molecular clusters (metallic, covalent, hydrogen-bonded, dispersion-bound).
- LR(ITA) achieved chemical accuracy comparable to more computationally intensive methods.
- For benzene clusters, LR(ITA) demonstrated accuracy on par with the GEBF method.
Conclusions:
- Information-theoretic approach (ITA) quantities, when used with linear regression (LR), provide a reliable and efficient method for predicting electron correlation energies.
- The LR(ITA) method is applicable to a broad spectrum of complex chemical systems.
- This approach offers a computationally inexpensive route to obtain accurate electron correlation energies, valuable for theoretical chemistry research.
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