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The Potential Blind Spot of the τ-Dependent Exchange Density Functional Approximations Научная публикация

Журнал Journal of Chemical Theory and Computation
ISSN: 1549-9618 , E-ISSN: 1549-9626
Вых. Данные Год: 2026, Том: 22, Номер: 5, Страницы: 2261-2266 Страниц : 6 DOI: 10.1021/acs.jctc.5c01926
Авторы Leonov Anton V. 1,2 , Epifanov Eugeny Yu. 2,3 , Gerasimov Igor S. 2 , Losev Timofey V. 2 , Medvedev Michael G. 2
Организации
1 Department of Chemistry, Lomonosov Moscow State University, Leninskie Gory 1/3, 119991 Moscow, Russian Federation
2 N.D. Zelinsky Institute of Organic Chemistry of Russian Academy of Sciences, Leninsky prospect 47, 119991 Moscow, Russian Federation
3 National Research University Higher School of Economics, Myasnitskaya Street 20, 101000 Moscow, Russian Federation

Реферат: Density functional theory (DFT) predicts the existence of an exact functional that allows one to obtain the energy and electron density of the ground state of any molecular system. Although the exact functional is not known, its approximations have become the workhorse of quantum chemistry. In this work, we demonstrate that exchange parts of all τ-dependent meta-GGAs (e.g., TPSS, r2SCAN, M06-L, and so on), which are often the methods of choice in current materials modeling, have the same blind spot as much simpler GGAs (e.g., PBE) on two-electron densities, highlighting the scarcity of data about electron density available to a functional. We demonstrate that to overcome this blind spot, a meta-GGA functional should incorporate nonclassic ingredients such as the Laplacian of electron density, which finally becomes possible with the rise of machine learning techniques for the construction of density functional approximations.
Библиографическая ссылка: Leonov A.V. , Epifanov E.Y. , Gerasimov I.S. , Losev T.V. , Medvedev M.G.
The Potential Blind Spot of the τ-Dependent Exchange Density Functional Approximations
Journal of Chemical Theory and Computation. 2026. V.22. N5. P.2261-2266. DOI: 10.1021/acs.jctc.5c01926 WOS Scopus OpenAlex
Даты:
Поступила в редакцию: 17 нояб. 2025 г.
Опубликована online: 10 мар. 2026 г.
Идентификаторы БД:
≡ Web of science: WOS:001696702500001
≡ Scopus: 2-s2.0-105032245485
≡ OpenAlex: W7130659324
Альметрики: