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Computational prediction of new magnetic materials
Author(s) -
Saeed Rahmanian Koshkaki,
Zahed Allahyari,
Artem R. Oganov,
Vladimir L. Solozhenko,
Ilya B. Polovov,
А. С. Белозеров,
A. A. Katanin,
В. И. Анисимов,
Evgenii Tikhonov,
GuangRui Qian,
Konstantin V. Maksimtsev,
Andrey S. Mukhamadeev,
А. В. Чукин,
А. В. Королев,
Н.В. Мушников,
Hao Li
Publication year - 2022
Publication title -
the journal of chemical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.071
H-Index - 357
eISSN - 1089-7690
pISSN - 0021-9606
DOI - 10.1063/5.0113745
Subject(s) - magnet , materials science , antiferromagnetism , magnetic field , robustness (evolution) , anisotropy , condensed matter physics , metal , nanotechnology , mechanical engineering , physics , metallurgy , chemistry , quantum mechanics , biochemistry , engineering , gene

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