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Artigo de periodico
Analysis of macronutrients in soil using impedimetric multisensor arrays (2024)
Braunger, Maria Luisa ; Popolin Neto, Mário ; Kirsanov, Dmitry; Fier, Igor; Amaral, Lucas Rios do ; Shimizu, Flávio Makoto ; Corrêa, Daniel Souza ; Paulovich, Fernando Vieira ; Legin, Andrey; Oliveira Junior, Osvaldo Novais de ; Riul Junior, Antonio
Source: ACS Omega. Unidade: IFSC
Subjects: AGRICULTURA, FILMES FINOS, SENSOR, APRENDIZADO COMPUTACIONAL
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ABNT
BRAUNGER, Maria Luisa et al. Analysis of macronutrients in soil using impedimetric multisensor arrays. ACS Omega, v. 9, n. 31, p. 33949-33958 + supporting information, 2024Tradução . . Disponível em: https://doi.org/10.1021/acsomega.4c04452. Acesso em: 15 nov. 2024.
APA
Braunger, M. L., Popolin Neto, M., Kirsanov, D., Fier, I., Amaral, L. R. do, Shimizu, F. M., et al. (2024). Analysis of macronutrients in soil using impedimetric multisensor arrays. ACS Omega, 9( 31), 33949-33958 + supporting information. doi:10.1021/acsomega.4c04452
NLM
Braunger ML, Popolin Neto M, Kirsanov D, Fier I, Amaral LR do, Shimizu FM, Corrêa DS, Paulovich FV, Legin A, Oliveira Junior ON de, Riul Junior A. Analysis of macronutrients in soil using impedimetric multisensor arrays [Internet]. ACS Omega. 2024 ; 9( 31): 33949-33958 + supporting information.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1021/acsomega.4c04452
Vancouver
Braunger ML, Popolin Neto M, Kirsanov D, Fier I, Amaral LR do, Shimizu FM, Corrêa DS, Paulovich FV, Legin A, Oliveira Junior ON de, Riul Junior A. Analysis of macronutrients in soil using impedimetric multisensor arrays [Internet]. ACS Omega. 2024 ; 9( 31): 33949-33958 + supporting information.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1021/acsomega.4c04452
Artigo de periodico
Learning from machine learning: the case of band-gap directness in semiconductors (2024)
Ogoshi, Elton ; Popolin Neto, Mário ; Acosta, Carlos Mera; Nascimento, Gabriel de Miranda ; Rodrigues, João Nuno Barbosa; Oliveira Junior, Osvaldo Novais de ; Paulovich, Fernando Vieira ; Dalpian, Gustavo Martini
Source: Discover Materials. Unidades: IFSC, IF, ICMC
Subjects: BIG DATA, INTERNET DAS COISAS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 15 nov. 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-x
NLM
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 nov. 15 ] Available from: https://doi.org/10.1007/s43939-024-00073-x
Vancouver
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 nov. 15 ] Available from: https://doi.org/10.1007/s43939-024-00073-x
Artigo de periodico
Artificial intelligence agents for materials sciences (2023)
Oliveira Junior, Osvaldo Novais de ; Christino, Leonardo Milhomem Franco; Oliveira, Maria Cristina Ferreira de ; Paulovich, Fernando Vieira
Source: Journal of Chemical Information and Modeling. Unidades: IFSC, ICMC
Subjects: ALGORITMOS, APRENDIZADO COMPUTACIONAL, GENÔMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA JUNIOR, Osvaldo Novais de et al. Artificial intelligence agents for materials sciences. Journal of Chemical Information and Modeling, v. 63, n. 24, p. 7605-7609, 2023Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.3c01778. Acesso em: 15 nov. 2024.
APA
Oliveira Junior, O. N. de, Christino, L. M. F., Oliveira, M. C. F. de, & Paulovich, F. V. (2023). Artificial intelligence agents for materials sciences. Journal of Chemical Information and Modeling, 63( 24), 7605-7609. doi:10.1021/acs.jcim.3c01778
NLM
Oliveira Junior ON de, Christino LMF, Oliveira MCF de, Paulovich FV. Artificial intelligence agents for materials sciences [Internet]. Journal of Chemical Information and Modeling. 2023 ; 63( 24): 7605-7609.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1021/acs.jcim.3c01778
Vancouver
Oliveira Junior ON de, Christino LMF, Oliveira MCF de, Paulovich FV. Artificial intelligence agents for materials sciences [Internet]. Journal of Chemical Information and Modeling. 2023 ; 63( 24): 7605-7609.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1021/acs.jcim.3c01778
Trabalho de evento-resumo
An organic artificial synapse for low-energy neuromorphic computing (2017)
Burgt, Yoeri van de; Lubberman, Ewout; Fuller, Elliot; Keene, Scott; Faria, Gregório Couto ; Marinella, Matthew; Agarwal, Sapan; Talin, Alec; Salleo, Alberto
Source: Abstracts. Conference titles: Materials Research Society Fall Meeting and Exhibit. Unidade: IFSC
Subjects: CÉREBRO, SINAPSE, REDES NEURAIS, DISPOSITIVOS ELETRÔNICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BURGT, Yoeri van de et al. An organic artificial synapse for low-energy neuromorphic computing. 2017, Anais.. Warrendale: Materials Research Society - MRS, 2017. Disponível em: https://mrsfall.zerista.com/event/member/429071. Acesso em: 15 nov. 2024.
APA
Burgt, Y. van de, Lubberman, E., Fuller, E., Keene, S., Faria, G. C., Marinella, M., et al. (2017). An organic artificial synapse for low-energy neuromorphic computing. In Abstracts. Warrendale: Materials Research Society - MRS. Recuperado de https://mrsfall.zerista.com/event/member/429071
NLM
Burgt Y van de, Lubberman E, Fuller E, Keene S, Faria GC, Marinella M, Agarwal S, Talin A, Salleo A. An organic artificial synapse for low-energy neuromorphic computing [Internet]. Abstracts. 2017 ;[citado 2024 nov. 15 ] Available from: https://mrsfall.zerista.com/event/member/429071
Vancouver
Burgt Y van de, Lubberman E, Fuller E, Keene S, Faria GC, Marinella M, Agarwal S, Talin A, Salleo A. An organic artificial synapse for low-energy neuromorphic computing [Internet]. Abstracts. 2017 ;[citado 2024 nov. 15 ] Available from: https://mrsfall.zerista.com/event/member/429071

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