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Artigo de periodico
Structural organization of phase-separated bioactive glasses and the clustering of Si, P, B, Na and F atoms investigated by solid-state NMR and Monte Carlo simulations (2023)
Gaddam, Anuraag ; Tricot, Gregory; Gołębiewski, Przemysław; Fernandes, Hugo Alexandre Gonçalves da Rocha; Buczynski, Ryszard; Ferreira, José Maria da Fonte ; Eckert, Hellmut
Fonte: Acta Materialia. Unidade: IFSC
Assuntos: VIDRO, ESTADO SÓLIDO, RESSONÂNCIA MAGNÉTICA NUCLEAR, PROPRIEDADES DOS MATERIAIS
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ABNT
GADDAM, Anuraag et al. Structural organization of phase-separated bioactive glasses and the clustering of Si, P, B, Na and F atoms investigated by solid-state NMR and Monte Carlo simulations. Acta Materialia, v. 259, p. 119203-1-119203-17 + supplementary materials, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.actamat.2023.119203. Acesso em: 31 ago. 2024.
APA
Gaddam, A., Tricot, G., Gołębiewski, P., Fernandes, H. A. G. da R., Buczynski, R., Ferreira, J. M. da F., & Eckert, H. (2023). Structural organization of phase-separated bioactive glasses and the clustering of Si, P, B, Na and F atoms investigated by solid-state NMR and Monte Carlo simulations. Acta Materialia, 259, 119203-1-119203-17 + supplementary materials. doi:10.1016/j.actamat.2023.119203
NLM
Gaddam A, Tricot G, Gołębiewski P, Fernandes HAG da R, Buczynski R, Ferreira JM da F, Eckert H. Structural organization of phase-separated bioactive glasses and the clustering of Si, P, B, Na and F atoms investigated by solid-state NMR and Monte Carlo simulations [Internet]. Acta Materialia. 2023 ; 259 119203-1-119203-17 + supplementary materials.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.actamat.2023.119203
Vancouver
Gaddam A, Tricot G, Gołębiewski P, Fernandes HAG da R, Buczynski R, Ferreira JM da F, Eckert H. Structural organization of phase-separated bioactive glasses and the clustering of Si, P, B, Na and F atoms investigated by solid-state NMR and Monte Carlo simulations [Internet]. Acta Materialia. 2023 ; 259 119203-1-119203-17 + supplementary materials.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.actamat.2023.119203
Artigo de periodico
Structural impact of niobium oxide on lithium silicate glasses: results from advanced interaction-selective solid-state nuclear magnetic resonance and Raman spectroscopy (2023)
Bradtmüller, Henrik ; Zheng, Qiuju; Gaddam, Anuraag ; Eckert, Hellmut ; Zanotto, Edgar Dutra
Fonte: Acta Materialia. Unidade: IFSC
Assuntos: NIÓBIO, LÍTIO, VIDRO, ESTADO SÓLIDO, RESSONÂNCIA MAGNÉTICA NUCLEAR, SPIN
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BRADTMÜLLER, Henrik et al. Structural impact of niobium oxide on lithium silicate glasses: results from advanced interaction-selective solid-state nuclear magnetic resonance and Raman spectroscopy. Acta Materialia, v. 255, p. 119061-1-119061-15 + supplementary materials, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.actamat.2023.119061. Acesso em: 31 ago. 2024.
APA
Bradtmüller, H., Zheng, Q., Gaddam, A., Eckert, H., & Zanotto, E. D. (2023). Structural impact of niobium oxide on lithium silicate glasses: results from advanced interaction-selective solid-state nuclear magnetic resonance and Raman spectroscopy. Acta Materialia, 255, 119061-1-119061-15 + supplementary materials. doi:10.1016/j.actamat.2023.119061
NLM
Bradtmüller H, Zheng Q, Gaddam A, Eckert H, Zanotto ED. Structural impact of niobium oxide on lithium silicate glasses: results from advanced interaction-selective solid-state nuclear magnetic resonance and Raman spectroscopy [Internet]. Acta Materialia. 2023 ; 255 119061-1-119061-15 + supplementary materials.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.actamat.2023.119061
Vancouver
Bradtmüller H, Zheng Q, Gaddam A, Eckert H, Zanotto ED. Structural impact of niobium oxide on lithium silicate glasses: results from advanced interaction-selective solid-state nuclear magnetic resonance and Raman spectroscopy [Internet]. Acta Materialia. 2023 ; 255 119061-1-119061-15 + supplementary materials.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.actamat.2023.119061
Artigo de periodico
Elucidating the influence of structure and Ag+-Na+ ion-exchange on crack-resistance and ionic conductivity of Na3Al1.8Si1.65P1.8O12 glass electrolyte (2022)
Keshri, Shweta R.; Mandal, Indrajeet; Ganisetti, Sudheer; Kasimuthumaniyan, S.; Kumar, Rajesh; Gaddam, Anuraag ; Shelke, Ankita; Ajithkumar, Thalasseril G.; Gosvami, Nitya Nand; Krishnan, N.M. Anoop; Allu, Amarnath R.
Fonte: Acta Materialia. Unidade: IFSC
Assuntos: VIDRO, PROPRIEDADES DOS MATERIAIS, ÓPTICA NÃO LINEAR
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KESHRI, Shweta R. et al. Elucidating the influence of structure and Ag+-Na+ ion-exchange on crack-resistance and ionic conductivity of Na3Al1.8Si1.65P1.8O12 glass electrolyte. Acta Materialia, v. 227, p. 117745-1-117745-12, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.actamat.2022.117745. Acesso em: 31 ago. 2024.
APA
Keshri, S. R., Mandal, I., Ganisetti, S., Kasimuthumaniyan, S., Kumar, R., Gaddam, A., et al. (2022). Elucidating the influence of structure and Ag+-Na+ ion-exchange on crack-resistance and ionic conductivity of Na3Al1.8Si1.65P1.8O12 glass electrolyte. Acta Materialia, 227, 117745-1-117745-12. doi:10.1016/j.actamat.2022.117745
NLM
Keshri SR, Mandal I, Ganisetti S, Kasimuthumaniyan S, Kumar R, Gaddam A, Shelke A, Ajithkumar TG, Gosvami NN, Krishnan NMA, Allu AR. Elucidating the influence of structure and Ag+-Na+ ion-exchange on crack-resistance and ionic conductivity of Na3Al1.8Si1.65P1.8O12 glass electrolyte [Internet]. Acta Materialia. 2022 ; 227 117745-1-117745-12.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.actamat.2022.117745
Vancouver
Keshri SR, Mandal I, Ganisetti S, Kasimuthumaniyan S, Kumar R, Gaddam A, Shelke A, Ajithkumar TG, Gosvami NN, Krishnan NMA, Allu AR. Elucidating the influence of structure and Ag+-Na+ ion-exchange on crack-resistance and ionic conductivity of Na3Al1.8Si1.65P1.8O12 glass electrolyte [Internet]. Acta Materialia. 2022 ; 227 117745-1-117745-12.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.actamat.2022.117745
Artigo de periodico
Structural rearrangements during sub-Tg relaxation and nucleation in lithium disilicate glass revealed by a solid-state NMR and MD strategy (2022)
Bradtmüller, Henrik ; Gaddam, Anuraag ; Eckert, Hellmut ; Zanotto, Edgar Dutra
Fonte: Acta Materialia. Unidade: IFSC
Assuntos: LÍTIO, VIDRO, ESTADO SÓLIDO, RESSONÂNCIA MAGNÉTICA NUCLEAR
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ABNT
BRADTMÜLLER, Henrik et al. Structural rearrangements during sub-Tg relaxation and nucleation in lithium disilicate glass revealed by a solid-state NMR and MD strategy. Acta Materialia, v. No 2022, p. 118318-1-118318-13 + supplementary materials: 1-10, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.actamat.2022.118318. Acesso em: 31 ago. 2024.
APA
Bradtmüller, H., Gaddam, A., Eckert, H., & Zanotto, E. D. (2022). Structural rearrangements during sub-Tg relaxation and nucleation in lithium disilicate glass revealed by a solid-state NMR and MD strategy. Acta Materialia, No 2022, 118318-1-118318-13 + supplementary materials: 1-10. doi:10.1016/j.actamat.2022.118318
NLM
Bradtmüller H, Gaddam A, Eckert H, Zanotto ED. Structural rearrangements during sub-Tg relaxation and nucleation in lithium disilicate glass revealed by a solid-state NMR and MD strategy [Internet]. Acta Materialia. 2022 ; No 2022 118318-1-118318-13 + supplementary materials: 1-10.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.actamat.2022.118318
Vancouver
Bradtmüller H, Gaddam A, Eckert H, Zanotto ED. Structural rearrangements during sub-Tg relaxation and nucleation in lithium disilicate glass revealed by a solid-state NMR and MD strategy [Internet]. Acta Materialia. 2022 ; No 2022 118318-1-118318-13 + supplementary materials: 1-10.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.actamat.2022.118318
Artigo de periodico
Machine learning unveils composition-property relationships in chalcogenide glasses (2022)
Mastelini, Saulo Martiello ; Cassar, Daniel Roberto ; Alcobaça, Edesio ; Botari, Tiago ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Zanotto, Edgar Dutra
Fonte: Acta Materialia. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, PROPRIEDADES DOS MATERIAIS, VIDRO
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MASTELINI, Saulo Martiello et al. Machine learning unveils composition-property relationships in chalcogenide glasses. Acta Materialia, v. No 2022, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.actamat.2022.118302. Acesso em: 31 ago. 2024.
APA
Mastelini, S. M., Cassar, D. R., Alcobaça, E., Botari, T., Carvalho, A. C. P. de L. F. de, & Zanotto, E. D. (2022). Machine learning unveils composition-property relationships in chalcogenide glasses. Acta Materialia, No 2022, 1-13. doi:10.1016/j.actamat.2022.118302
NLM
Mastelini SM, Cassar DR, Alcobaça E, Botari T, Carvalho ACP de LF de, Zanotto ED. Machine learning unveils composition-property relationships in chalcogenide glasses [Internet]. Acta Materialia. 2022 ; No 2022 1-13.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.actamat.2022.118302
Vancouver
Mastelini SM, Cassar DR, Alcobaça E, Botari T, Carvalho ACP de LF de, Zanotto ED. Machine learning unveils composition-property relationships in chalcogenide glasses [Internet]. Acta Materialia. 2022 ; No 2022 1-13.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.actamat.2022.118302
Artigo de periodico
Explainable machine learning algorithms for predicting glass transition temperatures (2020)
Alcobaça, Edesio ; Mastelini, Saulo Martiello ; Botari, Tiago ; Pimentel, Bruno Almeida ; Cassar, Daniel Roberto ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Zanotto, Edgar Dutra
Fonte: Acta Materialia. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS, VIDRO
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ABNT
ALCOBAÇA, Edesio et al. Explainable machine learning algorithms for predicting glass transition temperatures. Acta Materialia, v. 188, p. 92-100, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.actamat.2020.01.047. Acesso em: 31 ago. 2024.
APA
Alcobaça, E., Mastelini, S. M., Botari, T., Pimentel, B. A., Cassar, D. R., Carvalho, A. C. P. de L. F. de, & Zanotto, E. D. (2020). Explainable machine learning algorithms for predicting glass transition temperatures. Acta Materialia, 188, 92-100. doi:10.1016/j.actamat.2020.01.047
NLM
Alcobaça E, Mastelini SM, Botari T, Pimentel BA, Cassar DR, Carvalho ACP de LF de, Zanotto ED. Explainable machine learning algorithms for predicting glass transition temperatures [Internet]. Acta Materialia. 2020 ; 188 92-100.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.actamat.2020.01.047
Vancouver
Alcobaça E, Mastelini SM, Botari T, Pimentel BA, Cassar DR, Carvalho ACP de LF de, Zanotto ED. Explainable machine learning algorithms for predicting glass transition temperatures [Internet]. Acta Materialia. 2020 ; 188 92-100.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.actamat.2020.01.047
Artigo de periodico
Off-stoichiometry effects on crystal nucleation and growth kinetics in soda-lime-silicate glasses. The combeite (Na2O•2CaO•3SiO2) – devitrite (Na2O•3CaO•6SiO2) joint (2020)
Macena, Guilherme da Silva ; Abyzov, Alexander S. ; Fokin, Vladimir M.; Zanotto, Edgar Dutra ; Ferreira, Eduardo Bellini
Fonte: Acta Materialia. Unidade: EESC
Assuntos: VIDRO, CRISTALIZAÇÃO
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ABNT
MACENA, Guilherme da Silva et al. Off-stoichiometry effects on crystal nucleation and growth kinetics in soda-lime-silicate glasses. The combeite (Na2O•2CaO•3SiO2) – devitrite (Na2O•3CaO•6SiO2) joint. Acta Materialia, v. 196, p. se 2020, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.actamat.2020.06.039. Acesso em: 31 ago. 2024.
APA
Macena, G. da S., Abyzov, A. S., Fokin, V. M., Zanotto, E. D., & Ferreira, E. B. (2020). Off-stoichiometry effects on crystal nucleation and growth kinetics in soda-lime-silicate glasses. The combeite (Na2O•2CaO•3SiO2) – devitrite (Na2O•3CaO•6SiO2) joint. Acta Materialia, 196, se 2020. doi:10.1016/j.actamat.2020.06.039
NLM
Macena G da S, Abyzov AS, Fokin VM, Zanotto ED, Ferreira EB. Off-stoichiometry effects on crystal nucleation and growth kinetics in soda-lime-silicate glasses. The combeite (Na2O•2CaO•3SiO2) – devitrite (Na2O•3CaO•6SiO2) joint [Internet]. Acta Materialia. 2020 ; 196 se 2020.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.actamat.2020.06.039
Vancouver
Macena G da S, Abyzov AS, Fokin VM, Zanotto ED, Ferreira EB. Off-stoichiometry effects on crystal nucleation and growth kinetics in soda-lime-silicate glasses. The combeite (Na2O•2CaO•3SiO2) – devitrite (Na2O•3CaO•6SiO2) joint [Internet]. Acta Materialia. 2020 ; 196 se 2020.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.actamat.2020.06.039
Artigo de periodico
Simulation and experimental study of the particle size distribution and pore effect on the crystallization of glass powders (2019)
Fernandes, Roger Gomes; Reis, Raphael M.C.V. ; Tobar, Raúl R.; Zanotto, Edgar Dutra ; Ferreira, Eduardo Bellini
Fonte: Acta Materialia. Unidade: EESC
Assuntos: CRISTALIZAÇÃO, VIDRO, CINÉTICA
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ABNT
FERNANDES, Roger Gomes et al. Simulation and experimental study of the particle size distribution and pore effect on the crystallization of glass powders. Acta Materialia, v. 175, p. 130-139, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.actamat.2019.05.049. Acesso em: 31 ago. 2024.
APA
Fernandes, R. G., Reis, R. M. C. V., Tobar, R. R., Zanotto, E. D., & Ferreira, E. B. (2019). Simulation and experimental study of the particle size distribution and pore effect on the crystallization of glass powders. Acta Materialia, 175, 130-139. doi:10.1016/j.actamat.2019.05.049
NLM
Fernandes RG, Reis RMCV, Tobar RR, Zanotto ED, Ferreira EB. Simulation and experimental study of the particle size distribution and pore effect on the crystallization of glass powders [Internet]. Acta Materialia. 2019 ; 175 130-139.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.actamat.2019.05.049
Vancouver
Fernandes RG, Reis RMCV, Tobar RR, Zanotto ED, Ferreira EB. Simulation and experimental study of the particle size distribution and pore effect on the crystallization of glass powders [Internet]. Acta Materialia. 2019 ; 175 130-139.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.actamat.2019.05.049
Artigo de periodico
Predicting glass transition temperatures using neural networks (2018)
Cassar, Daniel R; Carvalho, André Carlos Ponce de Leon Ferreira de ; Zanotto, Edgar Dutra
Fonte: Acta Materialia. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, VIDRO
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ABNT
CASSAR, Daniel R e CARVALHO, André Carlos Ponce de Leon Ferreira de e ZANOTTO, Edgar Dutra. Predicting glass transition temperatures using neural networks. Acta Materialia, v. 159, p. 249-256, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.actamat.2018.08.022. Acesso em: 31 ago. 2024.
APA
Cassar, D. R., Carvalho, A. C. P. de L. F. de, & Zanotto, E. D. (2018). Predicting glass transition temperatures using neural networks. Acta Materialia, 159, 249-256. doi:10.1016/j.actamat.2018.08.022
NLM
Cassar DR, Carvalho ACP de LF de, Zanotto ED. Predicting glass transition temperatures using neural networks [Internet]. Acta Materialia. 2018 ; 159 249-256.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.actamat.2018.08.022
Vancouver
Cassar DR, Carvalho ACP de LF de, Zanotto ED. Predicting glass transition temperatures using neural networks [Internet]. Acta Materialia. 2018 ; 159 249-256.[citado 2024 ago. 31 ] Available from: https://doi.org/10.1016/j.actamat.2018.08.022

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