Empowering materials processing and performance from data and AI

Chinesta F. ; Cueto E. (Universidad de Zaragoza) ; Klusemann B.

Resumen: [No abstract available]

Idioma: Inglés

DOI: 10.3390/ma14164409

Año: 2021

Publicado en: Materials 14, 16 (2021), 4409 [4 pp]
ISSN: 1996-1944

Factor impacto JCR: 3.748 (2021)

Categ. JCR: METALLURGY & METALLURGICAL ENGINEERING rank: 18 / 79 = 0.228 (2021) - Q1 - T1
Categ. JCR: PHYSICS, CONDENSED MATTER rank: 28 / 69 = 0.406 (2021) - Q2 - T2
Categ. JCR: PHYSICS, APPLIED rank: 56 / 161 = 0.348 (2021) - Q2 - T2
Categ. JCR: MATERIALS SCIENCE, MULTIDISCIPLINARY rank: 177 / 345 = 0.513 (2021) - Q3 - T2
Categ. JCR: CHEMISTRY, PHYSICAL rank: 85 / 165 = 0.515 (2021) - Q3 - T2

Factor impacto CITESCORE: 4.7 - Materials Science (Q2)

Factor impacto SCIMAGO: 0.604 - Materials Science (miscellaneous) (Q2) - Condensed Matter Physics (Q2)

Tipo y forma: (Published version)

Área (Departamento): Área Mec.Med.Cont. y Teor.Est. (Dpto. Ingeniería Mecánica)