Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Bruno F, Zornio"'
Discovery of Low-Modulus Ti-Nb-Zr Alloys Based on Machine Learning and First-Principles Calculations
Publikováno v:
ACS Applied Materials & Interfaces. 12:56850-56861
The discovery of low-modulus Ti alloys for biomedical applications is challenging due to a vast number of compositions and available solute contents. In this work, machine learning (ML) methods are employed for the prediction of the bulk modulus (K)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e984bf500f9e71664c836e301cffa778
https://doi.org/10.1021/acsami.0c18506
https://doi.org/10.1021/acsami.0c18506
Autor:
Thalita S, Galhardo, Adriano H, Braga, Bruno H, Arpini, János, Szanyi, Renato V, Gonçalves, Bruno F, Zornio, Caetano R, Miranda, Liane M, Rossi
Publikováno v:
Journal of the American Chemical Society. 143(11)
Controlling the selectivity of CO
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::552b16c4bf4a3b5eab6d67de6f1013e7
https://pubmed.ncbi.nlm.nih.gov/33661617
https://pubmed.ncbi.nlm.nih.gov/33661617
Autor:
Caetano R. Miranda, Liane M. Rossi, János Szanyi, Adriano H. Braga, Renato V. Gonçalves, Bruno H. Arpini, Thalita S. Galhardo, Bruno F. Zornio
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Controlling the selectivity of CO2 hydrogenation catalysts is a fundamental challenge. In this study, the selectivity of supported Ni catalysts prepared by the traditional impregnation method was f...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2df1e1b2635cc985e9af1d89db192203
Autor:
Edvaldo Sabadini, Victor Augusto Licio Garcia Vilela, Gabriel B. Soares, Rafael Valladares De Almeida, Bruno F. Zornio, James Moraes de Almeida, Luís Fernando Lamas, Oigres Daniel Bernardinelli, Nicolau B. Palma-Filho, Caetano R. Miranda, Paulo B. Miranda, Luís Gustavo Teixeira Alves Duarte, Eddy Ruidiaz, Caroline Y. Aoki
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
In existing or operating oil fields, enhanced oil recovery (EOR) methods are employed to increase production, which can contribute to meet fossil fuel demand. This research proposes a new EOR method by adding Cu(II) ions into the injected seawater, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72ad00bc1540d115fb070b5cccf6270d
https://doi.org/10.1016/j.fuel.2021.121605
https://doi.org/10.1016/j.fuel.2021.121605