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  • Source: Journal of Luminescence. Unidades: EP, IF

    Subjects: DOSIMETRIA, RADIAÇÃO IONIZANTE, ALEXANDRITA, TERMOLUMINESCÊNCIA

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    • ABNT

      SILVA, A. O. et al. Stimulated luminescence properties of natural alexandrite in response to X-ray irradiation. Journal of Luminescence, v. 269, p. 7 , 2024Tradução . . Disponível em: https://doi.org/10.1016/j.jlumin.2024.120493. Acesso em: 12 nov. 2025.
    • APA

      Silva, A. O., Amorim, Y. F., Nunes, M. C. dos S., Ulsen, C., Yoshimura, E. M., & Trindade, N. M. (2024). Stimulated luminescence properties of natural alexandrite in response to X-ray irradiation. Journal of Luminescence, 269, 7 . doi:10.1016/j.jlumin.2024.120493
    • NLM

      Silva AO, Amorim YF, Nunes MC dos S, Ulsen C, Yoshimura EM, Trindade NM. Stimulated luminescence properties of natural alexandrite in response to X-ray irradiation [Internet]. Journal of Luminescence. 2024 ; 269 7 .[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.jlumin.2024.120493
    • Vancouver

      Silva AO, Amorim YF, Nunes MC dos S, Ulsen C, Yoshimura EM, Trindade NM. Stimulated luminescence properties of natural alexandrite in response to X-ray irradiation [Internet]. Journal of Luminescence. 2024 ; 269 7 .[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.jlumin.2024.120493
  • Source: Construction and Building Materials. Unidade: EP

    Subjects: CARBONATOS, TERMOGRAVIMETRIA, CARACTERIZAÇÃO TECNOLÓGICA DE MINÉRIOS

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    • ABNT

      MACEDO, Rafael dos Santos et al. Multistep chemical-mineralogical characterization to differentiate cement paste from carbonate rocks in CDW recycled aggregates. Construction and Building Materials, v. 457, p. 11 , 2024Tradução . . Disponível em: https://doi.org/10.1016/j.conbuildmat.2024.139397. Acesso em: 12 nov. 2025.
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      Macedo, R. dos S., Uliana, D., Angulo, S. C., & Ulsen, C. (2024). Multistep chemical-mineralogical characterization to differentiate cement paste from carbonate rocks in CDW recycled aggregates. Construction and Building Materials, 457, 11 . doi:10.1016/j.conbuildmat.2024.139397
    • NLM

      Macedo R dos S, Uliana D, Angulo SC, Ulsen C. Multistep chemical-mineralogical characterization to differentiate cement paste from carbonate rocks in CDW recycled aggregates. [Internet]. Construction and Building Materials. 2024 ; 457 11 .[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.conbuildmat.2024.139397
    • Vancouver

      Macedo R dos S, Uliana D, Angulo SC, Ulsen C. Multistep chemical-mineralogical characterization to differentiate cement paste from carbonate rocks in CDW recycled aggregates. [Internet]. Construction and Building Materials. 2024 ; 457 11 .[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.conbuildmat.2024.139397
  • Source: Radiation Physics and Chemistry. Unidades: EP, IF

    Subjects: PROPRIEDADES DOS MATERIAIS, TERMOLUMINESCÊNCIA, DOSIMETRIA

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      MARTINS, R T E K et al. Structural, optical and thermoluminescence properties of amazonite. Radiation Physics and Chemistry, v. 223, p. 111947-111947-10, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.radphyschem.2024.111947. Acesso em: 12 nov. 2025.
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      Martins, R. T. E. K., Künzel, R., Ulsen, C., Yoshimura, E. M., & Trindade, N. M. (2024). Structural, optical and thermoluminescence properties of amazonite. Radiation Physics and Chemistry, 223, 111947-111947-10. doi:10.1016/j.radphyschem.2024.111947
    • NLM

      Martins RTEK, Künzel R, Ulsen C, Yoshimura EM, Trindade NM. Structural, optical and thermoluminescence properties of amazonite [Internet]. Radiation Physics and Chemistry. 2024 ; 223 111947-111947-10.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.radphyschem.2024.111947
    • Vancouver

      Martins RTEK, Künzel R, Ulsen C, Yoshimura EM, Trindade NM. Structural, optical and thermoluminescence properties of amazonite [Internet]. Radiation Physics and Chemistry. 2024 ; 223 111947-111947-10.[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.radphyschem.2024.111947
  • Source: Fuel. Unidade: EP

    Subjects: AQUÍFEROS, MECANISMOS, SEQUESTRO DE CARBONO

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      IZADPANAKI, Amin et al. A review of carbon storage in saline aquifers: Mechanisms, prerequisites, and key considerations. Fuel, v. 369, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.fuel.2024.131744. Acesso em: 12 nov. 2025.
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      Izadpanaki, A., Blunt, M. J., KUmar, N., Ali, M., Tassinari, C. C. G., & Pinto, M. A. S. (2024). A review of carbon storage in saline aquifers: Mechanisms, prerequisites, and key considerations. Fuel, 369. doi:10.1016/j.fuel.2024.131744
    • NLM

      Izadpanaki A, Blunt MJ, KUmar N, Ali M, Tassinari CCG, Pinto MAS. A review of carbon storage in saline aquifers: Mechanisms, prerequisites, and key considerations [Internet]. Fuel. 2024 ; 369[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.fuel.2024.131744
    • Vancouver

      Izadpanaki A, Blunt MJ, KUmar N, Ali M, Tassinari CCG, Pinto MAS. A review of carbon storage in saline aquifers: Mechanisms, prerequisites, and key considerations [Internet]. Fuel. 2024 ; 369[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.fuel.2024.131744
  • Source: Computers & Geosciences. Unidade: EP

    Assunto: REDES E COMUNICAÇÃO DE DADOS

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      RANAZZI, Paulo Henrique e XIAODONG, Luo e PINTO, Marcio Augusto Sampaio. Improving the training performance of generative adversarial networks with limited data: Application to the generation of geological models. Computers & Geosciences, v. no 2024, p. 13 , 2024Tradução . . Disponível em: https://doi.org/10.1016/j.cageo.2024.105747. Acesso em: 12 nov. 2025.
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      Ranazzi, P. H., Xiaodong, L., & Pinto, M. A. S. (2024). Improving the training performance of generative adversarial networks with limited data: Application to the generation of geological models. Computers & Geosciences, no 2024, 13 . doi:10.1016/j.cageo.2024.105747
    • NLM

      Ranazzi PH, Xiaodong L, Pinto MAS. Improving the training performance of generative adversarial networks with limited data: Application to the generation of geological models [Internet]. Computers & Geosciences. 2024 ; no 2024 13 .[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.cageo.2024.105747
    • Vancouver

      Ranazzi PH, Xiaodong L, Pinto MAS. Improving the training performance of generative adversarial networks with limited data: Application to the generation of geological models [Internet]. Computers & Geosciences. 2024 ; no 2024 13 .[citado 2025 nov. 12 ] Available from: https://doi.org/10.1016/j.cageo.2024.105747

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