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Parte de monografia/livro
Guided clustering for selecting representatives samples in chemical databases (2023)
Calderan, Felipe V ; Mendonça, João Paulo A. de ; Silva, Juarez Lopes Ferreira da ; Quiles, Marcos Gonçalves
Source: Computational Science and Its Applications. ICCSA 2023. Lecture Notes in Computer Science. Unidade: IQSC
Subjects: CIÊNCIA DA COMPUTAÇÃO, QUÍMICA, MATERIAIS
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ABNT
CALDERAN, Felipe V et al. Guided clustering for selecting representatives samples in chemical databases. Computational Science and Its Applications. ICCSA 2023. Lecture Notes in Computer Science. Tradução . Cham: Instituto de Química de São Carlos, Universidade de São Paulo, 2023. . Disponível em: https://doi.org/10.1007/978-3-031-37126-4_10. Acesso em: 09 out. 2024.
APA
Calderan, F. V., Mendonça, J. P. A. de, Silva, J. L. F. da, & Quiles, M. G. (2023). Guided clustering for selecting representatives samples in chemical databases. In Computational Science and Its Applications. ICCSA 2023. Lecture Notes in Computer Science. Cham: Instituto de Química de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-031-37126-4_10
NLM
Calderan FV, Mendonça JPA de, Silva JLF da, Quiles MG. Guided clustering for selecting representatives samples in chemical databases [Internet]. In: Computational Science and Its Applications. ICCSA 2023. Lecture Notes in Computer Science. Cham: Instituto de Química de São Carlos, Universidade de São Paulo; 2023. [citado 2024 out. 09 ] Available from: https://doi.org/10.1007/978-3-031-37126-4_10
Vancouver
Calderan FV, Mendonça JPA de, Silva JLF da, Quiles MG. Guided clustering for selecting representatives samples in chemical databases [Internet]. In: Computational Science and Its Applications. ICCSA 2023. Lecture Notes in Computer Science. Cham: Instituto de Química de São Carlos, Universidade de São Paulo; 2023. [citado 2024 out. 09 ] Available from: https://doi.org/10.1007/978-3-031-37126-4_10
Artigo de periodico
Theoretical investigation of the stability of A55-nBn nanoalloys (A, B = Al, Cu, Zn, Ag) (2022)
Silva, Lucas Rodrigues da; Morais, Felipe Orlando ; Mendonça, João Paulo Almeida de ; Galvão, Breno R. L.; Silva, Juarez Lopes Ferreira da
Source: Computational Materials Science. Unidades: IQSC, IFSC
Subjects: NANOPARTÍCULAS, QUÍMICA QUÂNTICA, ESTRUTURA ATÔMICA (QUÍMICA TEÓRICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Lucas Rodrigues da et al. Theoretical investigation of the stability of A55-nBn nanoalloys (A, B = Al, Cu, Zn, Ag). Computational Materials Science, v. 215, p. 111805-1-111805-10, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.commatsci.2022.111805. Acesso em: 09 out. 2024.
APA
Silva, L. R. da, Morais, F. O., Mendonça, J. P. A. de, Galvão, B. R. L., & Silva, J. L. F. da. (2022). Theoretical investigation of the stability of A55-nBn nanoalloys (A, B = Al, Cu, Zn, Ag). Computational Materials Science, 215, 111805-1-111805-10. doi:10.1016/j.commatsci.2022.111805
NLM
Silva LR da, Morais FO, Mendonça JPA de, Galvão BRL, Silva JLF da. Theoretical investigation of the stability of A55-nBn nanoalloys (A, B = Al, Cu, Zn, Ag) [Internet]. Computational Materials Science. 2022 ; 215 111805-1-111805-10.[citado 2024 out. 09 ] Available from: https://doi.org/10.1016/j.commatsci.2022.111805
Vancouver
Silva LR da, Morais FO, Mendonça JPA de, Galvão BRL, Silva JLF da. Theoretical investigation of the stability of A55-nBn nanoalloys (A, B = Al, Cu, Zn, Ag) [Internet]. Computational Materials Science. 2022 ; 215 111805-1-111805-10.[citado 2024 out. 09 ] Available from: https://doi.org/10.1016/j.commatsci.2022.111805
Artigo de periodico
Theoretical Framework Based on Molecular Dynamics and Data Mining Analyses for the Study of Potential Energy Surfaces of FiniteSize Particles (2022)
Mendonça, João Paulo A. de ; Calderan, Felipe V.; Lourenço, Tuanan da Costa ; Quiles, Marcos G.; Silva, Juarez Lopes Ferreira da
Source: Journal of Chemical Information and Modeling. Unidade: IQSC
Subjects: COMBUSTÍVEIS, COBRE, NANOCOMPOSITOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MENDONÇA, João Paulo A. de et al. Theoretical Framework Based on Molecular Dynamics and Data Mining Analyses for the Study of Potential Energy Surfaces of FiniteSize Particles. Journal of Chemical Information and Modeling, v. 27, p. 5503-5512, 2022Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.2c00957. Acesso em: 09 out. 2024.
APA
Mendonça, J. P. A. de, Calderan, F. V., Lourenço, T. da C., Quiles, M. G., & Silva, J. L. F. da. (2022). Theoretical Framework Based on Molecular Dynamics and Data Mining Analyses for the Study of Potential Energy Surfaces of FiniteSize Particles. Journal of Chemical Information and Modeling, 27, 5503-5512. doi:10.1021/acs.jcim.2c00957
NLM
Mendonça JPA de, Calderan FV, Lourenço T da C, Quiles MG, Silva JLF da. Theoretical Framework Based on Molecular Dynamics and Data Mining Analyses for the Study of Potential Energy Surfaces of FiniteSize Particles [Internet]. Journal of Chemical Information and Modeling. 2022 ; 27 5503-5512.[citado 2024 out. 09 ] Available from: https://doi.org/10.1021/acs.jcim.2c00957
Vancouver
Mendonça JPA de, Calderan FV, Lourenço T da C, Quiles MG, Silva JLF da. Theoretical Framework Based on Molecular Dynamics and Data Mining Analyses for the Study of Potential Energy Surfaces of FiniteSize Particles [Internet]. Journal of Chemical Information and Modeling. 2022 ; 27 5503-5512.[citado 2024 out. 09 ] Available from: https://doi.org/10.1021/acs.jcim.2c00957

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