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  • Source: Journal of Pharmaceutical Innovation. Unidade: FCF

    Subjects: MEDIÇÃO DE RISCO, MEDICAMENTO, MÉTODO DE MONTE CARLO

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      SEPAROVIC, Luciana; BERTANHA, Maria Luiza de Godoy; SAVIANO, Alessandro Morais; LOURENÇO, Felipe Rebello. Conformity decisions based on measurement uncertainty—a case study applied to agar diffusion microbiological assay. Journal of Pharmaceutical Innovation, New York, v. 15, p. 110-115, 2020. Disponível em: < http://dx.doi.org/10.1007/s12247-019-09374-8 > DOI: 10.1007/s12247-019-09374-8.
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      Separovic, L., Bertanha, M. L. de G., Saviano, A. M., & Lourenço, F. R. (2020). Conformity decisions based on measurement uncertainty—a case study applied to agar diffusion microbiological assay. Journal of Pharmaceutical Innovation, 15, 110-115. doi:10.1007/s12247-019-09374-8
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      Separovic L, Bertanha ML de G, Saviano AM, Lourenço FR. Conformity decisions based on measurement uncertainty—a case study applied to agar diffusion microbiological assay [Internet]. Journal of Pharmaceutical Innovation. 2020 ; 15 110-115.Available from: http://dx.doi.org/10.1007/s12247-019-09374-8
    • Vancouver

      Separovic L, Bertanha ML de G, Saviano AM, Lourenço FR. Conformity decisions based on measurement uncertainty—a case study applied to agar diffusion microbiological assay [Internet]. Journal of Pharmaceutical Innovation. 2020 ; 15 110-115.Available from: http://dx.doi.org/10.1007/s12247-019-09374-8
  • Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), INFERÊNCIA BAYESIANA, AMOSTRAGEM, MÉTODO DE MONTE CARLO

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      SARAIVA, Erlandson Ferreira; SUZUKI, Adriano Kamimura; MILAN, Luis Aparecido. A Bayesian sparse finite mixture model for clustering data from a heterogeneous population. Brazilian Journal of Probability and Statistics, São Paulo, ABE, v. 34, n. 2, p. 323-344, 2020. Disponível em: < https://doi.org/10.1214/18-BJPS425 > DOI: 10.1214/18-BJPS425.
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      Saraiva, E. F., Suzuki, A. K., & Milan, L. A. (2020). A Bayesian sparse finite mixture model for clustering data from a heterogeneous population. Brazilian Journal of Probability and Statistics, 34( 2), 323-344. doi:10.1214/18-BJPS425
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      Saraiva EF, Suzuki AK, Milan LA. A Bayesian sparse finite mixture model for clustering data from a heterogeneous population [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 2): 323-344.Available from: https://doi.org/10.1214/18-BJPS425
    • Vancouver

      Saraiva EF, Suzuki AK, Milan LA. A Bayesian sparse finite mixture model for clustering data from a heterogeneous population [Internet]. Brazilian Journal of Probability and Statistics. 2020 ; 34( 2): 323-344.Available from: https://doi.org/10.1214/18-BJPS425
  • Source: Communications in Statistics - Theory and Methods. Unidade: IME

    Subjects: MÉTODO DE MONTE CARLO, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO NÃO LINEAR, TESTES DE HIPÓTESES

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      CAVALCANTI, Alexsandro Bezerra; BOTTER, Denise Aparecida; BARROSO, Lucia Pereira; SANTOS-NETO, Manoel; CORDEIRO, Gauss Moutinho. Improved score tests for exponential family nonlinear models. Communications in Statistics - Theory and Methods, New York, Taylos and Francis, 2020. Disponível em: < http://dx.doi.org/10.1080/03610926.2019.1710202 > DOI: 10.1080/03610926.2019.1710202.
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      Cavalcanti, A. B., Botter, D. A., Barroso, L. P., Santos-Neto, M., & Cordeiro, G. M. (2020). Improved score tests for exponential family nonlinear models. Communications in Statistics - Theory and Methods. doi:10.1080/03610926.2019.1710202
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      Cavalcanti AB, Botter DA, Barroso LP, Santos-Neto M, Cordeiro GM. Improved score tests for exponential family nonlinear models [Internet]. Communications in Statistics - Theory and Methods. 2020 ;Available from: http://dx.doi.org/10.1080/03610926.2019.1710202
    • Vancouver

      Cavalcanti AB, Botter DA, Barroso LP, Santos-Neto M, Cordeiro GM. Improved score tests for exponential family nonlinear models [Internet]. Communications in Statistics - Theory and Methods. 2020 ;Available from: http://dx.doi.org/10.1080/03610926.2019.1710202
  • Source: Computers & Industrial Engineering. Unidade: EP

    Subjects: MÉTODO DE MONTE CARLO, GRÁFICOS

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      QUININO, Roberto da Costa; CRUZ, Frederico Rodrigues Borges da; HO, Linda Lee. Attribute inspection control charts for the joint monitoring of mean and variance. Computers & Industrial Engineering, Amsterdam, Elsevier, v. 139, n. Ja 2020, 2020. Disponível em: < https://doi.org/10.1016/j.cie.2019.106131 > DOI: 10.1016/j.cie.2019.106131.
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      Quinino, R. da C., Cruz, F. R. B. da, & Ho, L. L. (2020). Attribute inspection control charts for the joint monitoring of mean and variance. Computers & Industrial Engineering, 139( Ja 2020). doi:10.1016/j.cie.2019.106131
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      Quinino R da C, Cruz FRB da, Ho LL. Attribute inspection control charts for the joint monitoring of mean and variance [Internet]. Computers & Industrial Engineering. 2020 ; 139( Ja 2020):Available from: https://doi.org/10.1016/j.cie.2019.106131
    • Vancouver

      Quinino R da C, Cruz FRB da, Ho LL. Attribute inspection control charts for the joint monitoring of mean and variance [Internet]. Computers & Industrial Engineering. 2020 ; 139( Ja 2020):Available from: https://doi.org/10.1016/j.cie.2019.106131
  • Source: Computers & Industrial Engineering. Unidade: EP

    Subjects: CONTROLE ESTATÍSTICO DO PROCESSO, MÉTODO DE MONTE CARLO, GRÁFICOS, GESTÃO DE PROJETOS

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      VOTTO, Rodrigo Goulart; HO, Linda Lee; BERSSANETI, Fernando Tobal. Multivariate control charts using earned value and earned duration management observations to monitor project performance. Computers & Industrial Engineering, Amsterdam, Elsevier, v. 148, 2020. Disponível em: < https://doi.org/10.1016/j.cie.2020.106691 > DOI: 10.1016/j.cie.2020.106691.
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      Votto, R. G., Ho, L. L., & Berssaneti, F. T. (2020). Multivariate control charts using earned value and earned duration management observations to monitor project performance. Computers & Industrial Engineering, 148. doi:10.1016/j.cie.2020.106691
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      Votto RG, Ho LL, Berssaneti FT. Multivariate control charts using earned value and earned duration management observations to monitor project performance [Internet]. Computers & Industrial Engineering. 2020 ; 148Available from: https://doi.org/10.1016/j.cie.2020.106691
    • Vancouver

      Votto RG, Ho LL, Berssaneti FT. Multivariate control charts using earned value and earned duration management observations to monitor project performance [Internet]. Computers & Industrial Engineering. 2020 ; 148Available from: https://doi.org/10.1016/j.cie.2020.106691
  • Unidade: IFSC

    Subjects: MÉTODO DE MONTE CARLO, PNEUMONIA, TERAPIA FOTODINÂMICA

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      DIAZ TOVAR, Johan Sebastian; KURACHI, Cristina. Study of the principles involved in the activation of indocyanine green by infrared radiation in the photodynamic inactivation of pneumonia. 2020.Universidade de São Paulo, São Carlos, 2020.
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      Diaz Tovar, J. S., & Kurachi, C. (2020). Study of the principles involved in the activation of indocyanine green by infrared radiation in the photodynamic inactivation of pneumonia. Universidade de São Paulo, São Carlos.
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      Diaz Tovar JS, Kurachi C. Study of the principles involved in the activation of indocyanine green by infrared radiation in the photodynamic inactivation of pneumonia. 2020 ;
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      Diaz Tovar JS, Kurachi C. Study of the principles involved in the activation of indocyanine green by infrared radiation in the photodynamic inactivation of pneumonia. 2020 ;
  • Source: Statistics. Unidade: ESALQ

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS, SIMULAÇÃO (ESTATÍSTICA)

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      VILA, Roberto; FERREIRA, Letícia; SAULO, Helton; PRATAVIERA, Fábio; ORTEGA, Edwin Moises Marcos. A bimodal gamma distribution: properties, regression model and applications. Statistics, Abingdon, Taylor & Francis Group, v. 54, n. 3, p. 469–493, 2020. Disponível em: < https://doi.org/10.1080/02331888.2020.1764560 > DOI: 10.1080/02331888.2020.1764560.
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      Vila, R., Ferreira, L., Saulo, H., Prataviera, F., & Ortega, E. M. M. (2020). A bimodal gamma distribution: properties, regression model and applications. Statistics, 54( 3), 469–493. doi:10.1080/02331888.2020.1764560
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      Vila R, Ferreira L, Saulo H, Prataviera F, Ortega EMM. A bimodal gamma distribution: properties, regression model and applications [Internet]. Statistics. 2020 ; 54( 3): 469–493.Available from: https://doi.org/10.1080/02331888.2020.1764560
    • Vancouver

      Vila R, Ferreira L, Saulo H, Prataviera F, Ortega EMM. A bimodal gamma distribution: properties, regression model and applications [Internet]. Statistics. 2020 ; 54( 3): 469–493.Available from: https://doi.org/10.1080/02331888.2020.1764560
  • Source: Communications in Statistics - Simulation and Computation. Unidade: IME

    Subjects: DISTRIBUIÇÕES (PROBABILIDADE), MÉTODO DE MONTE CARLO, ANÁLISE DE RISCO

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      GOMES, M. Ivette; CAEIRO, Frederico; FIGUEIREDO, Fernanda; RODRIGUES, Ligia Carla Pinto Henriques Jorge; PESTANA, Dinis. Corrected-Hill versus partially reduced-bias value-at-risk estimation. Communications in Statistics - Simulation and Computation, New York, Taylor & Francis, v. 49, n. 4, 2020. Disponível em: < http://dx.doi.org/10.1080/03610918.2018.1489053 > DOI: 10.1080/03610918.2018.1489053.
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      Gomes, M. I., Caeiro, F., Figueiredo, F., Rodrigues, L. C. P. H. J., & Pestana, D. (2020). Corrected-Hill versus partially reduced-bias value-at-risk estimation. Communications in Statistics - Simulation and Computation, 49( 4). doi:10.1080/03610918.2018.1489053
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      Gomes MI, Caeiro F, Figueiredo F, Rodrigues LCPHJ, Pestana D. Corrected-Hill versus partially reduced-bias value-at-risk estimation [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 4):Available from: http://dx.doi.org/10.1080/03610918.2018.1489053
    • Vancouver

      Gomes MI, Caeiro F, Figueiredo F, Rodrigues LCPHJ, Pestana D. Corrected-Hill versus partially reduced-bias value-at-risk estimation [Internet]. Communications in Statistics - Simulation and Computation. 2020 ; 49( 4):Available from: http://dx.doi.org/10.1080/03610918.2018.1489053
  • Source: Communications in Statistics : Theory and Methods. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, CADEIAS DE MARKOV, MÉTODO DE MONTE CARLO

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      DANILEVICZ, Ian Meneghel; EHLERS, Ricardo Sandes. Bayesian influence diagnostics using normalized functional Bregman divergence. Communications in Statistics : Theory and Methods, New York, Taylor & Francis, 2020. Disponível em: < https://doi.org/10.1080/03610926.2020.1764583 > DOI: 10.1080/03610926.2020.1764583.
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      Danilevicz, I. M., & Ehlers, R. S. (2020). Bayesian influence diagnostics using normalized functional Bregman divergence. Communications in Statistics : Theory and Methods. doi:10.1080/03610926.2020.1764583
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      Danilevicz IM, Ehlers RS. Bayesian influence diagnostics using normalized functional Bregman divergence [Internet]. Communications in Statistics : Theory and Methods. 2020 ;Available from: https://doi.org/10.1080/03610926.2020.1764583
    • Vancouver

      Danilevicz IM, Ehlers RS. Bayesian influence diagnostics using normalized functional Bregman divergence [Internet]. Communications in Statistics : Theory and Methods. 2020 ;Available from: https://doi.org/10.1080/03610926.2020.1764583
  • Source: Physical Review E. Unidade: IF

    Subjects: MECÂNICA ESTATÍSTICA, TERMODINÂMICA (FÍSICO-QUÍMICA), CITOFISIOLOGIA, MÉTODO DE MONTE CARLO, MEMBRANAS CELULARES

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      BARRETO, Yan B.; SUKI, Béla; ALENCAR, Adriano. Random-walk model of cotransport. Physical Review E, Maryland, American Physical Society-APS, v. 102, n. 2, 2020. Disponível em: < https://doi.org/10.1103/PhysRevE.102.022403 > DOI: 10.1103/PhysRevE.102.022403.
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      Barreto, Y. B., Suki, B., & Alencar, A. (2020). Random-walk model of cotransport. Physical Review E, 102( 2). doi:10.1103/PhysRevE.102.022403
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      Barreto YB, Suki B, Alencar A. Random-walk model of cotransport [Internet]. Physical Review E. 2020 ; 102( 2):Available from: https://doi.org/10.1103/PhysRevE.102.022403
    • Vancouver

      Barreto YB, Suki B, Alencar A. Random-walk model of cotransport [Internet]. Physical Review E. 2020 ; 102( 2):Available from: https://doi.org/10.1103/PhysRevE.102.022403
  • Source: Journal of Construction Engineering and Management. Unidade: EP

    Subjects: CONTROLE ESTATÍSTICO DO PROCESSO, MÉTODO DE MONTE CARLO, GESTÃO DE PROJETOS, GRÁFICOS

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      VOTTO, Rodrigo Goulart; HO, Linda Lee; BERSSANETI, Fernando Tobal. Applying and assessing performance of earned duration management control charts for EPC Project Duration Monitoring. Journal of Construction Engineering and Management, Reston, VA, ASCE, v. 146, n. 3, p. 04020001-1-04020001-13, 2020. Disponível em: < https://doi.org/10.1061/(ASCE)CO.1943-7862.0001765 > DOI: 10.1061/(ASCE)CO.1943-7862.0001765.
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      Votto, R. G., Ho, L. L., & Berssaneti, F. T. (2020). Applying and assessing performance of earned duration management control charts for EPC Project Duration Monitoring. Journal of Construction Engineering and Management, 146( 3), 04020001-1-04020001-13. doi:10.1061/(ASCE)CO.1943-7862.0001765
    • NLM

      Votto RG, Ho LL, Berssaneti FT. Applying and assessing performance of earned duration management control charts for EPC Project Duration Monitoring [Internet]. Journal of Construction Engineering and Management. 2020 ; 146( 3): 04020001-1-04020001-13.Available from: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001765
    • Vancouver

      Votto RG, Ho LL, Berssaneti FT. Applying and assessing performance of earned duration management control charts for EPC Project Duration Monitoring [Internet]. Journal of Construction Engineering and Management. 2020 ; 146( 3): 04020001-1-04020001-13.Available from: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001765
  • Source: Biometrical Journal. Unidade: ICMC

    Subjects: ANÁLISE DE DADOS, INFERÊNCIA BAYESIANA, MÉTODO DE MONTE CARLO

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      SILVA, Wesley Bertoli da; CONCEIÇÃO, Katiane Silva; ANDRADE FILHO, Marinho Gomes de; LOUZADA NETO, Francisco. A new mixed-effects regression model for the analysis of zero-modified hierarchical count data. Biometrical Journal, Weinheim, Wiley, 2020. Disponível em: < https://doi.org/10.1002/bimj.202000046 > DOI: 10.1002/bimj.202000046.
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      Silva, W. B. da, Conceição, K. S., Andrade Filho, M. G. de, & Louzada Neto, F. (2020). A new mixed-effects regression model for the analysis of zero-modified hierarchical count data. Biometrical Journal. doi:10.1002/bimj.202000046
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      Silva WB da, Conceição KS, Andrade Filho MG de, Louzada Neto F. A new mixed-effects regression model for the analysis of zero-modified hierarchical count data [Internet]. Biometrical Journal. 2020 ;Available from: https://doi.org/10.1002/bimj.202000046
    • Vancouver

      Silva WB da, Conceição KS, Andrade Filho MG de, Louzada Neto F. A new mixed-effects regression model for the analysis of zero-modified hierarchical count data [Internet]. Biometrical Journal. 2020 ;Available from: https://doi.org/10.1002/bimj.202000046
  • Source: Quality and Reliability Engineering International. Unidade: EP

    Subjects: GRÁFICOS, MÉTODO DE MONTE CARLO, SIMULAÇÃO (ESTATÍSTICA)

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      YAMAUCHI, Tsubasa; HO, Linda Lee. Control charts for monitoring the ratio of two Poisson rates. Quality and Reliability Engineering International, Chichester, v. 36, n. 1, p. 214-230, 2020. Disponível em: < https://doi.org/10.1002/qre.2567 > DOI: 10.1002/qre.2567.
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      Yamauchi, T., & Ho, L. L. (2020). Control charts for monitoring the ratio of two Poisson rates. Quality and Reliability Engineering International, 36( 1), 214-230. doi:10.1002/qre.2567
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      Yamauchi T, Ho LL. Control charts for monitoring the ratio of two Poisson rates [Internet]. Quality and Reliability Engineering International. 2020 ; 36( 1): 214-230.Available from: https://doi.org/10.1002/qre.2567
    • Vancouver

      Yamauchi T, Ho LL. Control charts for monitoring the ratio of two Poisson rates [Internet]. Quality and Reliability Engineering International. 2020 ; 36( 1): 214-230.Available from: https://doi.org/10.1002/qre.2567
  • Source: Journal of Chemical Information Modeling. Unidade: IF

    Assunto: MÉTODO DE MONTE CARLO

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      CEZAR, Henrique Musseli; CANUTO, Sylvio Roberto Accioly; COUTINHO, Kaline Rabelo. DICE: A Monte Carlo Code for Molecular Simulation Including the Configurational Bias Monte Carlo Method. Journal of Chemical Information Modeling, New York, American Chemical Society, v. 60, n. 7, p. 3472–3488, 2020. DOI: 10.1021/acs.jcim.0c00077.
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      Cezar, H. M., Canuto, S. R. A., & Coutinho, K. R. (2020). DICE: A Monte Carlo Code for Molecular Simulation Including the Configurational Bias Monte Carlo Method. Journal of Chemical Information Modeling, 60( 7), 3472–3488. doi:10.1021/acs.jcim.0c00077
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      Cezar HM, Canuto SRA, Coutinho KR. DICE: A Monte Carlo Code for Molecular Simulation Including the Configurational Bias Monte Carlo Method. Journal of Chemical Information Modeling. 2020 ; 60( 7): 3472–3488.
    • Vancouver

      Cezar HM, Canuto SRA, Coutinho KR. DICE: A Monte Carlo Code for Molecular Simulation Including the Configurational Bias Monte Carlo Method. Journal of Chemical Information Modeling. 2020 ; 60( 7): 3472–3488.
  • Source: Quality and Reliability Engineering International. Unidade: EP

    Subjects: TEORIA DAS FILAS, MÉTODO DE MONTE CARLO, PROCESSOS DE MARKOV

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      CRUZ, Frederico Rodrigues Borges da; QUININO, Roberto da Costa; HO, Linda Lee. Control charts for traffic intensity monitoring of Markovian multiserver queues. Quality and Reliability Engineering International, Chichester, v. 36, n. 1, p. 354-364, 2020. Disponível em: < https://doi.org/10.1002/qre.2578 > DOI: 10.1002/qre.2578.
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      Cruz, F. R. B. da, Quinino, R. da C., & Ho, L. L. (2020). Control charts for traffic intensity monitoring of Markovian multiserver queues. Quality and Reliability Engineering International, 36( 1), 354-364. doi:10.1002/qre.2578
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      Cruz FRB da, Quinino R da C, Ho LL. Control charts for traffic intensity monitoring of Markovian multiserver queues [Internet]. Quality and Reliability Engineering International. 2020 ; 36( 1): 354-364.Available from: https://doi.org/10.1002/qre.2578
    • Vancouver

      Cruz FRB da, Quinino R da C, Ho LL. Control charts for traffic intensity monitoring of Markovian multiserver queues [Internet]. Quality and Reliability Engineering International. 2020 ; 36( 1): 354-364.Available from: https://doi.org/10.1002/qre.2578
  • Source: Microchemical Journal. Unidade: FCF

    Subjects: CROMATOGRAFIA LÍQUIDA DE ALTA PRESSÃO, MÉTODO DE MONTE CARLO

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      PASSARIN, Paula Beatriz Silva; LOURENÇO, Felipe Rebello. Modeling an in silico platform to predict chromatographic profiles of UV filters using ChromSimulator. Microchemical Journal, Amsterdam, v. 157, p. 1-8 art. 105002, 2020. Disponível em: < https://dx.doi.org/10.1016/j.microc.2020.105002 > DOI: 10.1016/j.microc.2020.105002.
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      Passarin, P. B. S., & Lourenço, F. R. (2020). Modeling an in silico platform to predict chromatographic profiles of UV filters using ChromSimulator. Microchemical Journal, 157, 1-8 art. 105002. doi:10.1016/j.microc.2020.105002
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      Passarin PBS, Lourenço FR. Modeling an in silico platform to predict chromatographic profiles of UV filters using ChromSimulator [Internet]. Microchemical Journal. 2020 ; 157 1-8 art. 105002.Available from: https://dx.doi.org/10.1016/j.microc.2020.105002
    • Vancouver

      Passarin PBS, Lourenço FR. Modeling an in silico platform to predict chromatographic profiles of UV filters using ChromSimulator [Internet]. Microchemical Journal. 2020 ; 157 1-8 art. 105002.Available from: https://dx.doi.org/10.1016/j.microc.2020.105002
  • Source: Physical Review B. Unidade: IFSC

    Subjects: MATERIAIS MAGNÉTICOS, CAMPO MAGNÉTICO, MÉTODO DE MONTE CARLO

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      SANTANU, Dey; ANDRADE, Eric de Castro e; VOJTA, Matthias. Random-bond disorder in two-dimensional noncollinear XY antiferromagnets: from quasi-long-range order to spin glass. Physical Review B, College Park, American Physical Society - APS, v. 102, n. 12, p. 125121-1-125121-8, 2020. Disponível em: < http://dx.doi.org/10.1103/PhysRevB.102.125121 > DOI: 10.1103/PhysRevB.102.125121.
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      Santanu, D., Andrade, E. de C. e, & Vojta, M. (2020). Random-bond disorder in two-dimensional noncollinear XY antiferromagnets: from quasi-long-range order to spin glass. Physical Review B, 102( 12), 125121-1-125121-8. doi:10.1103/PhysRevB.102.125121
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      Santanu D, Andrade E de C e, Vojta M. Random-bond disorder in two-dimensional noncollinear XY antiferromagnets: from quasi-long-range order to spin glass [Internet]. Physical Review B. 2020 ; 102( 12): 125121-1-125121-8.Available from: http://dx.doi.org/10.1103/PhysRevB.102.125121
    • Vancouver

      Santanu D, Andrade E de C e, Vojta M. Random-bond disorder in two-dimensional noncollinear XY antiferromagnets: from quasi-long-range order to spin glass [Internet]. Physical Review B. 2020 ; 102( 12): 125121-1-125121-8.Available from: http://dx.doi.org/10.1103/PhysRevB.102.125121
  • Source: Journal of Physical Chemistry B. Unidade: IF

    Assunto: MÉTODO DE MONTE CARLO

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      GIROTTO, Matheus; ALENCAR, Adriano Mesquita. Modified 3D Ewald Summation for Slab Geometry at Constant Potential. Journal of Physical Chemistry B, New York, American Chemical Society, v. 124, p. 7842−7848, 2020. DOI: 10.1021/acs.jpcb.0c03510.
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      Girotto, M., & Alencar, A. M. (2020). Modified 3D Ewald Summation for Slab Geometry at Constant Potential. Journal of Physical Chemistry B, 124, 7842−7848. doi:10.1021/acs.jpcb.0c03510
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      Girotto M, Alencar AM. Modified 3D Ewald Summation for Slab Geometry at Constant Potential. Journal of Physical Chemistry B. 2020 ; 124 7842−7848.
    • Vancouver

      Girotto M, Alencar AM. Modified 3D Ewald Summation for Slab Geometry at Constant Potential. Journal of Physical Chemistry B. 2020 ; 124 7842−7848.
  • Source: The Journal of Chemical Physics. Unidade: IF

    Subjects: MECÂNICA ESTATÍSTICA, EQUAÇÕES DIFERENCIAIS, MÉTODO DE MONTE CARLO, POLARIZAÇÃO, QUÍMICA COLOIDAL, ELETROSTÁTICA, FORÇAS INTERMOLECULARES, ELETRÓLITOS, NANOPARTÍCULAS, DIELÉTRICOS

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      MALOSSI, Rodrigo M.; GIROTTO, Matheus; SANTOS, Alexandre P. dos; LEVIN, Yan. Simulations of electrolyte between charged metal surfaces. The Journal of Chemical Physics, Maryland, AIP-American Institute of Physics, v. 153, n. 4, 2020. Disponível em: < https://doi.org/10.1063/5.0012073 > DOI: 10.1063/5.0012073.
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      Malossi, R. M., Girotto, M., Santos, A. P. dos, & Levin, Y. (2020). Simulations of electrolyte between charged metal surfaces. The Journal of Chemical Physics, 153( 4). doi:10.1063/5.0012073
    • NLM

      Malossi RM, Girotto M, Santos AP dos, Levin Y. Simulations of electrolyte between charged metal surfaces [Internet]. The Journal of Chemical Physics. 2020 ; 153( 4):Available from: https://doi.org/10.1063/5.0012073
    • Vancouver

      Malossi RM, Girotto M, Santos AP dos, Levin Y. Simulations of electrolyte between charged metal surfaces [Internet]. The Journal of Chemical Physics. 2020 ; 153( 4):Available from: https://doi.org/10.1063/5.0012073
  • Source: Chemical Physics Letters. Unidade: IFSC

    Subjects: TERMODINÂMICA, HIDROGÊNIO, MÉTODO DE MONTE CARLO

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    • ABNT

      MOREIRA, E. M. Isaac; BRITO, B. G. A.; HAI, Guo-Qiang; CÂNDIDO, Ladir. A quantum Monte Carlo study of the structural and electronic properties of small boron clusters Bn (n = 1, …,13). Chemical Physics Letters, Amsterdam, Elsevier BV, v. 754, p. 137636-1-137636-7, 2020. Disponível em: < http://dx.doi.org/10.1016/j.cplett.2020.137636 > DOI: 10.1016/j.cplett.2020.137636.
    • APA

      Moreira, E. M. I., Brito, B. G. A., Hai, G. -Q., & Cândido, L. (2020). A quantum Monte Carlo study of the structural and electronic properties of small boron clusters Bn (n = 1, …,13). Chemical Physics Letters, 754, 137636-1-137636-7. doi:10.1016/j.cplett.2020.137636
    • NLM

      Moreira EMI, Brito BGA, Hai G-Q, Cândido L. A quantum Monte Carlo study of the structural and electronic properties of small boron clusters Bn (n = 1, …,13) [Internet]. Chemical Physics Letters. 2020 ; 754 137636-1-137636-7.Available from: http://dx.doi.org/10.1016/j.cplett.2020.137636
    • Vancouver

      Moreira EMI, Brito BGA, Hai G-Q, Cândido L. A quantum Monte Carlo study of the structural and electronic properties of small boron clusters Bn (n = 1, …,13) [Internet]. Chemical Physics Letters. 2020 ; 754 137636-1-137636-7.Available from: http://dx.doi.org/10.1016/j.cplett.2020.137636

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