Learning from machine learning: the case of band-gap directness in semiconductors (2024)
Source: Discover Materials. Unidades: IFSC, IF, ICMC
Subjects: BIG DATA, INTERNET DAS COISAS, APRENDIZADO COMPUTACIONAL
ABNT
OGOSHI, Elton et al. Learning from machine learning: the case of band-gap directness in semiconductors. Discover Materials, v. 4, p. 6-1-6-14, 2024Tradução . . Disponível em: https://doi.org/10.1007/s43939-024-00073-x. Acesso em: 13 out. 2024.APA
Ogoshi, E., Popolin Neto, M., Acosta, C. M., Nascimento, G. de M., Rodrigues, J. N. B., Oliveira Junior, O. N. de, et al. (2024). Learning from machine learning: the case of band-gap directness in semiconductors. Discover Materials, 4, 6-1-6-14. doi:10.1007/s43939-024-00073-xNLM
Ogoshi E, Popolin Neto M, Acosta CM, Nascimento G de M, Rodrigues JNB, Oliveira Junior ON de, Paulovich FV, Dalpian GM. Learning from machine learning: the case of band-gap directness in semiconductors [Internet]. Discover Materials. 2024 ; 4 6-1-6-14.[citado 2024 out. 13 ] Available from: https://doi.org/10.1007/s43939-024-00073-xVancouver
Ogoshi E, Popolin Neto M, Acosta CM, Nascimento G de M, Rodrigues JNB, Oliveira Junior ON de, Paulovich FV, Dalpian GM. Learning from machine learning: the case of band-gap directness in semiconductors [Internet]. Discover Materials. 2024 ; 4 6-1-6-14.[citado 2024 out. 13 ] Available from: https://doi.org/10.1007/s43939-024-00073-x