Discovery of Low-Modulus Ti-Nb-Zr Alloys Based on MachineLearning and First-Principles Calculations (2020)
- Authors:
- USP affiliated authors: MIRANDA, CAETANO RODRIGUES - IF ; SALVADOR, CAMILO AUGUSTO FERNANDES - IF ; ZORNIO, BRUNO FEDOSSE - IF
- Unidade: IF
- DOI: 10.1021/acsami.0c18506
- Assunto: ELASTICIDADE
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Washington
- Date published: 2020
- Source:
- Título: ACS Applied Materials Interfaces
- Volume/Número/Paginação/Ano: v. 12, n. 51, p. 56850–56861, 2020
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SALVADOR, Camilo Augusto Fernandes e ZORNIO, Bruno Fedosse e MIRANDA, Caetano Rodrigues. Discovery of Low-Modulus Ti-Nb-Zr Alloys Based on MachineLearning and First-Principles Calculations. ACS Applied Materials Interfaces, v. 12, n. 51, p. 56850–56861, 2020Tradução . . Disponível em: https://doi.org/10.1021/acsami.0c18506. Acesso em: 02 jan. 2026. -
APA
Salvador, C. A. F., Zornio, B. F., & Miranda, C. R. (2020). Discovery of Low-Modulus Ti-Nb-Zr Alloys Based on MachineLearning and First-Principles Calculations. ACS Applied Materials Interfaces, 12( 51), 56850–56861. doi:10.1021/acsami.0c18506 -
NLM
Salvador CAF, Zornio BF, Miranda CR. Discovery of Low-Modulus Ti-Nb-Zr Alloys Based on MachineLearning and First-Principles Calculations [Internet]. ACS Applied Materials Interfaces. 2020 ; 12( 51): 56850–56861.[citado 2026 jan. 02 ] Available from: https://doi.org/10.1021/acsami.0c18506 -
Vancouver
Salvador CAF, Zornio BF, Miranda CR. Discovery of Low-Modulus Ti-Nb-Zr Alloys Based on MachineLearning and First-Principles Calculations [Internet]. ACS Applied Materials Interfaces. 2020 ; 12( 51): 56850–56861.[citado 2026 jan. 02 ] Available from: https://doi.org/10.1021/acsami.0c18506 - Experimental and computational investigation of Ti-Nb-Fe-Zr alloys with limited Fe contents for biomedical applications
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Informações sobre o DOI: 10.1021/acsami.0c18506 (Fonte: oaDOI API)
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