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Xuecheng Shao
Professor
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
Demyan Prokopchuk
Associate Professor
Rutgers University
Li Zhu
Assistant Professor
Rutgers University
Michele Pavanello
-
Francesco Paesani
Professor
University of California, San Diego
Panagiotis Tolias
KTH Royal Institute of Technology
Mark E. Tuckerman
-
Yu Xie
Professor
Jilin University
Zhandos Moldabekov
Helmholtz-Zentrum Dresden-Rossendorf
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