Permutationally restrained diabatization by machine intelligence (2021)
Shu, Yinan; Varga, Zoltan; Oliveira Filho, Antonio Gustavo Sampaio de 
; Truhlar, Donald G.
Source: Journal of Chemical Theory and Computation. Unidade: FFCLRP
Subjects: APRENDIZADO COMPUTACIONAL, ESTRUTURA ELETRÔNICA, QUÍMICA TEÓRICA, ACOPLAGEM
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SHU, Yinan et al. Permutationally restrained diabatization by machine intelligence. Journal of Chemical Theory and Computation, v. 17, n. 2, p. 1106-1116, 2021Tradução . . Disponível em: https://doi.org/10.1021/acs.jctc.0c01110. Acesso em: 17 out. 2024.APA
Shu, Y., Varga, Z., Oliveira Filho, A. G. S. de, & Truhlar, D. G. (2021). Permutationally restrained diabatization by machine intelligence. Journal of Chemical Theory and Computation, 17( 2), 1106-1116. doi:10.1021/acs.jctc.0c01110NLM
Shu Y, Varga Z, Oliveira Filho AGS de, Truhlar DG. Permutationally restrained diabatization by machine intelligence [Internet]. Journal of Chemical Theory and Computation. 2021 ; 17( 2): 1106-1116.[citado 2024 out. 17 ] Available from: https://doi.org/10.1021/acs.jctc.0c01110Vancouver
Shu Y, Varga Z, Oliveira Filho AGS de, Truhlar DG. Permutationally restrained diabatization by machine intelligence [Internet]. Journal of Chemical Theory and Computation. 2021 ; 17( 2): 1106-1116.[citado 2024 out. 17 ] Available from: https://doi.org/10.1021/acs.jctc.0c01110
