Investigating band gap directness using machine learning (2021)
Melo, Elton Ogoshi de; Popolin Neto, Mário; Acosta, Carlos Mera; Nascimento, Gabriel M.; Rodrigues, João; Oliveira Junior, Osvaldo Novais de 
; Longstaffe, J. G.; Dalpian, Gustavo M.
Source: Bulletin of the American Physical Society. Conference titles: APS March Meeting. Unidades: IFSC, ICMC
Subjects: NANOPARTÍCULAS, APRENDIZADO COMPUTACIONAL
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MELO, Elton Ogoshi de et al. Investigating band gap directness using machine learning. Bulletin of the American Physical Society. College Park: American Physical Society - APS. Disponível em: https://meetings.aps.org/Meeting/MAR21/Session/C21.9. Acesso em: 25 jun. 2024. , 2021APA
Melo, E. O. de, Popolin Neto, M., Acosta, C. M., Nascimento, G. M., Rodrigues, J., Oliveira Junior, O. N. de, et al. (2021). Investigating band gap directness using machine learning. Bulletin of the American Physical Society. College Park: American Physical Society - APS. Recuperado de https://meetings.aps.org/Meeting/MAR21/Session/C21.9NLM
Melo EO de, Popolin Neto M, Acosta CM, Nascimento GM, Rodrigues J, Oliveira Junior ON de, Longstaffe JG, Dalpian GM. Investigating band gap directness using machine learning [Internet]. Bulletin of the American Physical Society. 2021 ; 66( 1):[citado 2024 jun. 25 ] Available from: https://meetings.aps.org/Meeting/MAR21/Session/C21.9Vancouver
Melo EO de, Popolin Neto M, Acosta CM, Nascimento GM, Rodrigues J, Oliveira Junior ON de, Longstaffe JG, Dalpian GM. Investigating band gap directness using machine learning [Internet]. Bulletin of the American Physical Society. 2021 ; 66( 1):[citado 2024 jun. 25 ] Available from: https://meetings.aps.org/Meeting/MAR21/Session/C21.9
