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Xuecheng Shao

Professor

Jilin University
Country flagChina

Research Interests

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Articles (10)

Year:

2026

Year:

2026

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

For an electronic system, given a mean field method and a distribution of orbital occupation numbers that are close to the natural occupations of the correlated system, we provide formal evidence and computational support to the hypothesis that the entropy (or more precisely −σS, where σ is a parameter and S is the entropy) of such a distribution is a good approximation to the correlation energy. Underpinning the formal evidence are mild assumptions: the correlation energy is strictly a functional of the occupation numbers, and the occupation numbers derive from an invertible distribution. Computational support centers around employing different mean field methods and occupation number distributions (Fermi–Dirac, Gaussian, and linear), for which our claims are verified for a series of pilot calculations involving bond breaking and chemical reactions. This work establishes a formal footing for those methods employing entropy as a measure of electronic correlation energy (e.g., i-DMFT [Wang and Baerends, Phys. Rev. Lett. 128, 013001 (2022)] and TAO-DFT [J.-D. Chai, J. Chem. Phys. 136, 154104 (2012)]) and sets the stage for the widespread use of entropy functionals for approximating the (static) electronic correlation.

Year:

2023

Year:

2023

Year:

2023

Collaborators (9)

Jessica A. Martinez B.

Teaching Assistant

Rutgers University

UNITED STATES
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Demyan Prokopchuk

Associate Professor

Rutgers University

UNITED STATES
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Li Zhu

Assistant Professor

Rutgers University

UNITED STATES
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Michele Pavanello

-

UNITED STATES
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Francesco Paesani

Professor

University of California, San Diego

UNITED STATES
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Panagiotis Tolias

KTH Royal Institute of Technology

SWEDEN
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Mark E. Tuckerman

-

UNITED STATES
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Yu Xie

Professor

Jilin University

CHINA
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Zhandos Moldabekov

Helmholtz-Zentrum Dresden-Rossendorf

GERMANY
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