117379 20230519145545.0 doi 10.3390/ma14164409 sideral 127072 ART-2021-127072 eng Chinesta F. Empowering materials processing and performance from data and AI 2021 Access copy available to the general public Unrestricted [No abstract available] info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 3.748 2021 METALLURGY & METALLURGICAL ENGINEERING 18 / 79 = 0.228 2021 Q1 T1 PHYSICS, CONDENSED MATTER 28 / 69 = 0.406 2021 Q2 T2 PHYSICS, APPLIED 56 / 161 = 0.348 2021 Q2 T2 MATERIALS SCIENCE, MULTIDISCIPLINARY 177 / 345 = 0.513 2021 Q3 T2 CHEMISTRY, PHYSICAL 85 / 165 = 0.515 2021 Q3 T2 0.604 2021 Materials Science (miscellaneous) 2021 Q2 Condensed Matter Physics 2021 Q2 4.7 2021 info:eu-repo/semantics/other info:eu-repo/semantics/publishedVersion Cueto E. Universidad de Zaragoza (orcid)0000-0003-1017-4381 Klusemann B. 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 14, 16 (2021), 4409 [4 pp] Materials (Basel) Materials 1996-1944 194948 http://zaguan.unizar.es/record/117379/files/texto_completo.pdf Versión publicada 2937582 http://zaguan.unizar.es/record/117379/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:117379 articulos driver 2023-05-18-15:44:00 ARTICLE