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Artigo de periodico-carta/editorial
Machine Learning in Materials Science. [Editorial] (2024)
Merz, Kenneth M; Choong, Yee Siew; Cournia, Zoe; Isayev, Olexandr; Soares, Thereza Amélia ; Wei, Guo-Wei; Zhu, Feng
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: ALGORITMOS, APRENDIZADO COMPUTACIONAL, BIOMATERIAIS
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ABNT
MERZ, Kenneth M et al. Machine Learning in Materials Science. [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.jcim.4c00727. Acesso em: 09 nov. 2025. , 2024
APA
Merz, K. M., Choong, Y. S., Cournia, Z., Isayev, O., Soares, T. A., Wei, G. -W., & Zhu, F. (2024). Machine Learning in Materials Science. [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1021/acs.jcim.4c00727
NLM
Merz KM, Choong YS, Cournia Z, Isayev O, Soares TA, Wei G-W, Zhu F. Machine Learning in Materials Science. [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2024 ; 64( 10): 3959-3960.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.4c00727
Vancouver
Merz KM, Choong YS, Cournia Z, Isayev O, Soares TA, Wei G-W, Zhu F. Machine Learning in Materials Science. [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2024 ; 64( 10): 3959-3960.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.4c00727
Artigo de periodico-carta/editorial
Enhancing coarse-grained models through machine learning. [Editorial] (2024)
Karmakar, Tarak; Soares, Thereza Amélia ; Merz Jr, Kenneth M
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: APRENDIZADO COMPUTACIONAL, SIMULAÇÃO, MODELAGEM MOLECULAR, NANOPARTÍCULAS
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ABNT
KARMAKAR, Tarak e SOARES, Thereza Amélia e MERZ JR, Kenneth M. Enhancing coarse-grained models through machine learning. [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.jcim.4c00537. Acesso em: 09 nov. 2025. , 2024
APA
Karmakar, T., Soares, T. A., & Merz Jr, K. M. (2024). Enhancing coarse-grained models through machine learning. [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1021/acs.jcim.4c00537
NLM
Karmakar T, Soares TA, Merz Jr KM. Enhancing coarse-grained models through machine learning. [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2024 ; 64( 8): 2931-2932.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.4c00537
Vancouver
Karmakar T, Soares TA, Merz Jr KM. Enhancing coarse-grained models through machine learning. [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2024 ; 64( 8): 2931-2932.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.4c00537
Artigo de periodico
The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling (2024)
Prati, Ronaldo C.; Rodrigues, Bruno S. M.; Aragão, Iberis; Silva, Thereza Amélia Soares da; Quiles, Marcos Gonçalves ; Silva, Juarez Lopes Ferreira da
Source: Journal of Chemical Information and Modeling. Unidades: IQSC, FFCLRP
Subjects: BIOENGENHARIA, BIOTECNOLOGIA, BIOLOGIA, MATERIAIS
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ABNT
PRATI, Ronaldo C. et al. The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling. Journal of Chemical Information and Modeling, v. 64, n. 4, p. 1107–1111, 2024Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.3c02014. Acesso em: 09 nov. 2025.
APA
Prati, R. C., Rodrigues, B. S. M., Aragão, I., Silva, T. A. S. da, Quiles, M. G., & Silva, J. L. F. da. (2024). The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling. Journal of Chemical Information and Modeling, 64( 4), 1107–1111. doi:10.1021/acs.jcim.3c02014
NLM
Prati RC, Rodrigues BSM, Aragão I, Silva TAS da, Quiles MG, Silva JLF da. The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling [Internet]. Journal of Chemical Information and Modeling. 2024 ;64( 4): 1107–1111.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.3c02014
Vancouver
Prati RC, Rodrigues BSM, Aragão I, Silva TAS da, Quiles MG, Silva JLF da. The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling [Internet]. Journal of Chemical Information and Modeling. 2024 ;64( 4): 1107–1111.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.3c02014
Artigo de periodico-carta/editorial
Guidelines for reporting molecular dynamics simulations in JCIM publications. [Editorial] (2023)
Soares, Thereza A. ; Cournia, Zoe; Naidoo, Kevin J.; Amaro, Rommie E.; Wahab, Habibah A.; Merz, Kenneth
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: QUÍMICA TEÓRICA, MOLÉCULA, PESQUISA CIENTÍFICA
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ABNT
SOARES, Thereza A. et al. Guidelines for reporting molecular dynamics simulations in JCIM publications. [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.jcim.3c00599. Acesso em: 09 nov. 2025. , 2023
APA
Soares, T. A., Cournia, Z., Naidoo, K. J., Amaro, R. E., Wahab, H. A., & Merz, K. (2023). Guidelines for reporting molecular dynamics simulations in JCIM publications. [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1021/acs.jcim.3c00599
NLM
Soares TA, Cournia Z, Naidoo KJ, Amaro RE, Wahab HA, Merz K. Guidelines for reporting molecular dynamics simulations in JCIM publications. [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2023 ; 63( 11): 3227-3229.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.3c00599
Vancouver
Soares TA, Cournia Z, Naidoo KJ, Amaro RE, Wahab HA, Merz K. Guidelines for reporting molecular dynamics simulations in JCIM publications. [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2023 ; 63( 11): 3227-3229.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.3c00599
Artigo de periodico-carta/editorial
Editing DNA and RNA through Computations [Editorial] (2023)
Palermo, Giulia; Soares, Thereza A.
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: QUÍMICA, REPLICAÇÃO DO DNA, GENÔMICA, ÁCIDOS NUCLEICOS
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ABNT
PALERMO, Giulia e SOARES, Thereza A. Editing DNA and RNA through Computations [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.jcim.3c01824. Acesso em: 09 nov. 2025. , 2023
APA
Palermo, G., & Soares, T. A. (2023). Editing DNA and RNA through Computations [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1021/acs.jcim.3c01824
NLM
Palermo G, Soares TA. Editing DNA and RNA through Computations [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2023 ; 63( 24): 7603-7604.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.3c01824
Vancouver
Palermo G, Soares TA. Editing DNA and RNA through Computations [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2023 ; 63( 24): 7603-7604.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.3c01824
Artigo de periodico-carta/editorial
Computational chemistry in Asia [Editorial] (2022)
Wei, Guo-Wei; Soares, Thereza A. ; Wahab, Habibah A.; Wang, Renxiao
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: PERIÓDICOS CIENTÍFICOS, QUÍMICA, QUÍMICA
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ABNT
WEI, Guo-Wei et al. Computational chemistry in Asia [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.jcim.2c01050. Acesso em: 09 nov. 2025. , 2022
APA
Wei, G. -W., Soares, T. A., Wahab, H. A., & Wang, R. (2022). Computational chemistry in Asia [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1021/acs.jcim.2c01050
NLM
Wei G-W, Soares TA, Wahab HA, Wang R. Computational chemistry in Asia [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 21): 5035-5037.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.2c01050
Vancouver
Wei G-W, Soares TA, Wahab HA, Wang R. Computational chemistry in Asia [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 21): 5035-5037.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.2c01050
Artigo de periodico
Surface Assessment via Grid Evaluation (SuAVE) for Every Surface Curvature and Cavity Shape (2022)
Santos, Denys ; Coutinho, Kaline Rabelo ; Silva, Thereza Amélia Soares da
Source: Journal of Chemical Information and Modeling. Unidades: IF, FFCLRP
Subjects: FÍSICO-QUÍMICA, FÍSICA MOLECULAR, SOFTWARE ESTATÍSTICO PARA MICROCOMPUTADORES, LIPÍDEOS DA MEMBRANA
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ABNT
SANTOS, Denys e COUTINHO, Kaline Rabelo e SILVA, Thereza Amélia Soares da. Surface Assessment via Grid Evaluation (SuAVE) for Every Surface Curvature and Cavity Shape. Journal of Chemical Information and Modeling, v. 62, n. 19, p. 4690-4701, 2022Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.2c00673. Acesso em: 09 nov. 2025.
APA
Santos, D., Coutinho, K. R., & Silva, T. A. S. da. (2022). Surface Assessment via Grid Evaluation (SuAVE) for Every Surface Curvature and Cavity Shape. Journal of Chemical Information and Modeling, 62( 19), 4690-4701. doi:10.1021/acs.jcim.2c00673
NLM
Santos D, Coutinho KR, Silva TAS da. Surface Assessment via Grid Evaluation (SuAVE) for Every Surface Curvature and Cavity Shape [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 19): 4690-4701.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.2c00673
Vancouver
Santos D, Coutinho KR, Silva TAS da. Surface Assessment via Grid Evaluation (SuAVE) for Every Surface Curvature and Cavity Shape [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 19): 4690-4701.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.2c00673
Artigo de periodico
Bias amplification in gender, gender identity, and geographical affiliation (2022)
Cascella, Michele; Silva, Thereza Amélia Soares da
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: PRECONCEITO, PESQUISA CIENTÍFICA
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ABNT
CASCELLA, Michele e SILVA, Thereza Amélia Soares da. Bias amplification in gender, gender identity, and geographical affiliation. Journal of Chemical Information and Modeling, v. 62, n. 24, p. 6297-6301, 2022Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.2c00533. Acesso em: 09 nov. 2025.
APA
Cascella, M., & Silva, T. A. S. da. (2022). Bias amplification in gender, gender identity, and geographical affiliation. Journal of Chemical Information and Modeling, 62( 24), 6297-6301. doi:10.1021/acs.jcim.2c00533
NLM
Cascella M, Silva TAS da. Bias amplification in gender, gender identity, and geographical affiliation [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 24): 6297-6301.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.2c00533
Vancouver
Cascella M, Silva TAS da. Bias amplification in gender, gender identity, and geographical affiliation [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 24): 6297-6301.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.2c00533
Artigo de periodico-carta/editorial
Celebrating diversity, equity, inclusion, and respect in computational and theoretical chemistry [Editorial] (2022)
Cournia, Zoe; Soares, Thereza A. ; Wahab, Habibah A.; Amaro, Rommie E.
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: PERIÓDICOS CIENTÍFICOS, QUÍMICA TEÓRICA, CIÊNCIA
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ABNT
COURNIA, Zoe et al. Celebrating diversity, equity, inclusion, and respect in computational and theoretical chemistry [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.jcim.2c01543. Acesso em: 09 nov. 2025. , 2022
APA
Cournia, Z., Soares, T. A., Wahab, H. A., & Amaro, R. E. (2022). Celebrating diversity, equity, inclusion, and respect in computational and theoretical chemistry [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1021/acs.jcim.2c01543
NLM
Cournia Z, Soares TA, Wahab HA, Amaro RE. Celebrating diversity, equity, inclusion, and respect in computational and theoretical chemistry [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 24): 6287-6291.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.2c01543
Vancouver
Cournia Z, Soares TA, Wahab HA, Amaro RE. Celebrating diversity, equity, inclusion, and respect in computational and theoretical chemistry [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 24): 6287-6291.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.2c01543
Artigo de periodico-carta/editorial
The (Re)-evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods [Editorial] (2022)
Soares, Thereza A. ; Alves, Ariane Ferreira Nunes; Mazzolari, Angelica; Ruggiu, Fiorella; Wei, Guo-Wei; Merz, Kenneth
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: APRENDIZADO COMPUTACIONAL, MODELOS MATEMÁTICOS, ESTRUTURA MOLECULAR (QUÍMICA TEÓRICA)
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ABNT
SOARES, Thereza A. et al. The (Re)-evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.jcim.2c01422. Acesso em: 09 nov. 2025. , 2022
APA
Soares, T. A., Alves, A. F. N., Mazzolari, A., Ruggiu, F., Wei, G. -W., & Merz, K. (2022). The (Re)-evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1021/acs.jcim.2c01422
NLM
Soares TA, Alves AFN, Mazzolari A, Ruggiu F, Wei G-W, Merz K. The (Re)-evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 22): 5317-5320.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.2c01422
Vancouver
Soares TA, Alves AFN, Mazzolari A, Ruggiu F, Wei G-W, Merz K. The (Re)-evolution of Quantitative Structure–Activity Relationship (QSAR) studies propelled by the surge of machine learning methods [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 22): 5317-5320.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.2c01422
Artigo de periodico
Screening of the Role of the Chemical Structure in the Electrochemical Stability Window of Ionic Liquids: DFT Calculations Combined with Data Mining (2022)
Moraes, Alex S.; Pinheiro, Gabriel A.; Lourenço, Tuanan da Costa ; Lopes, Mauro C.; Quiles, Marcos G.; Dias, Luis G. ; Silva, Juarez Lopes Ferreira da
Source: Journal of Chemical Information and Modeling. Unidades: FFCLRP, IQSC
Subjects: ÍONS ELETRÔNICOS, ESTRUTURA ATÔMICA (QUÍMICA TEÓRICA), ENERGIA
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ABNT
MORAES, Alex S. et al. Screening of the Role of the Chemical Structure in the Electrochemical Stability Window of Ionic Liquids: DFT Calculations Combined with Data Mining. Journal of Chemical Information and Modeling, v. 62, n. 19, p. 4702–4712, 2022Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.2c00748. Acesso em: 09 nov. 2025.
APA
Moraes, A. S., Pinheiro, G. A., Lourenço, T. da C., Lopes, M. C., Quiles, M. G., Dias, L. G., & Silva, J. L. F. da. (2022). Screening of the Role of the Chemical Structure in the Electrochemical Stability Window of Ionic Liquids: DFT Calculations Combined with Data Mining. Journal of Chemical Information and Modeling, 62( 19), 4702–4712. doi:10.1021/acs.jcim.2c00748
NLM
Moraes AS, Pinheiro GA, Lourenço T da C, Lopes MC, Quiles MG, Dias LG, Silva JLF da. Screening of the Role of the Chemical Structure in the Electrochemical Stability Window of Ionic Liquids: DFT Calculations Combined with Data Mining [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 19): 4702–4712.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.2c00748
Vancouver
Moraes AS, Pinheiro GA, Lourenço T da C, Lopes MC, Quiles MG, Dias LG, Silva JLF da. Screening of the Role of the Chemical Structure in the Electrochemical Stability Window of Ionic Liquids: DFT Calculations Combined with Data Mining [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 19): 4702–4712.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.2c00748
Artigo de periodico
In silico infrared characterization of synthetic cannabinoids by quantum chemistry and chemometrics (2020)
Castro, Jade Simões de; Rodrigues, Caio Henrique Pinke ; Bruni, Aline Thaís
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: CANABINOIDES, SIMULAÇÃO, TRANSTORNOS RELACIONADOS AO USO DE SUBSTÂNCIAS
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ABNT
CASTRO, Jade Simões de e RODRIGUES, Caio Henrique Pinke e BRUNI, Aline Thaís. In silico infrared characterization of synthetic cannabinoids by quantum chemistry and chemometrics. Journal of Chemical Information and Modeling, v. 60, n. 4, p. 2100-2114, 2020Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.9b00871. Acesso em: 09 nov. 2025.
APA
Castro, J. S. de, Rodrigues, C. H. P., & Bruni, A. T. (2020). In silico infrared characterization of synthetic cannabinoids by quantum chemistry and chemometrics. Journal of Chemical Information and Modeling, 60( 4), 2100-2114. doi:10.1021/acs.jcim.9b00871
NLM
Castro JS de, Rodrigues CHP, Bruni AT. In silico infrared characterization of synthetic cannabinoids by quantum chemistry and chemometrics [Internet]. Journal of Chemical Information and Modeling. 2020 ; 60( 4): 2100-2114.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.9b00871
Vancouver
Castro JS de, Rodrigues CHP, Bruni AT. In silico infrared characterization of synthetic cannabinoids by quantum chemistry and chemometrics [Internet]. Journal of Chemical Information and Modeling. 2020 ; 60( 4): 2100-2114.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.9b00871
Artigo de periodico
Molecular dynamics simulations of polymer–ionic liquid (1-ethyl-3-methylimidazolium tetracyanoborate) ternary electrolyte for sodium and potassium ion batteries (2020)
Souza, Rafael Maglia de ; Siqueira, Leonardo José Amaral de; Karttunen, Mikko; Dias, Luis Gustavo
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: BATERIAS ELÉTRICAS, ENERGIA ELÉTRICA, SÓDIO, POTÁSSIO, ELETROQUÍMICA, SOLUÇÕES ELETROLÍTICAS
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ABNT
SOUZA, Rafael Maglia de et al. Molecular dynamics simulations of polymer–ionic liquid (1-ethyl-3-methylimidazolium tetracyanoborate) ternary electrolyte for sodium and potassium ion batteries. Journal of Chemical Information and Modeling, v. 60, n. 2, p. 485-499, 2020Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.9b00750. Acesso em: 09 nov. 2025.
APA
Souza, R. M. de, Siqueira, L. J. A. de, Karttunen, M., & Dias, L. G. (2020). Molecular dynamics simulations of polymer–ionic liquid (1-ethyl-3-methylimidazolium tetracyanoborate) ternary electrolyte for sodium and potassium ion batteries. Journal of Chemical Information and Modeling, 60( 2), 485-499. doi:10.1021/acs.jcim.9b00750
NLM
Souza RM de, Siqueira LJA de, Karttunen M, Dias LG. Molecular dynamics simulations of polymer–ionic liquid (1-ethyl-3-methylimidazolium tetracyanoborate) ternary electrolyte for sodium and potassium ion batteries [Internet]. Journal of Chemical Information and Modeling. 2020 ; 60( 2): 485-499.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.9b00750
Vancouver
Souza RM de, Siqueira LJA de, Karttunen M, Dias LG. Molecular dynamics simulations of polymer–ionic liquid (1-ethyl-3-methylimidazolium tetracyanoborate) ternary electrolyte for sodium and potassium ion batteries [Internet]. Journal of Chemical Information and Modeling. 2020 ; 60( 2): 485-499.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.9b00750
Artigo de periodico
Self-assembly of phosphocholine derivatives using the ELBA coarse-grained model: micelles, bicelles, and reverse micelles (2020)
Souza, Rafael Maglia de ; Ratochinski, Rafael Henrique; Karttunen, Mikko; Dias, Luis Gustavo
Source: Journal of Chemical Information and Modeling. Unidade: FFCLRP
Subjects: LIPÍDEOS, ELETROSTÁTICA, MOLÉCULA, QUÍMICA
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ABNT
SOUZA, Rafael Maglia de et al. Self-assembly of phosphocholine derivatives using the ELBA coarse-grained model: micelles, bicelles, and reverse micelles. Journal of Chemical Information and Modeling, v. 60, n. 2, p. 522-536, 2020Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.9b00790. Acesso em: 09 nov. 2025.
APA
Souza, R. M. de, Ratochinski, R. H., Karttunen, M., & Dias, L. G. (2020). Self-assembly of phosphocholine derivatives using the ELBA coarse-grained model: micelles, bicelles, and reverse micelles. Journal of Chemical Information and Modeling, 60( 2), 522-536. doi:10.1021/acs.jcim.9b00790
NLM
Souza RM de, Ratochinski RH, Karttunen M, Dias LG. Self-assembly of phosphocholine derivatives using the ELBA coarse-grained model: micelles, bicelles, and reverse micelles [Internet]. Journal of Chemical Information and Modeling. 2020 ; 60( 2): 522-536.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.9b00790
Vancouver
Souza RM de, Ratochinski RH, Karttunen M, Dias LG. Self-assembly of phosphocholine derivatives using the ELBA coarse-grained model: micelles, bicelles, and reverse micelles [Internet]. Journal of Chemical Information and Modeling. 2020 ; 60( 2): 522-536.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.9b00790

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