Enhancing corrosion-resistant alloy design through natural language processing and deep learning

We propose strategies that couple natural language processing with deep learning to enhance machine capability for corrosion-resistant alloy design. First, accuracy of machine learning models for materials datasets is often limited by their inability to incorporate textual data. Manual extraction of...

Descripción completa

Detalles Bibliográficos
Autores principales: Sasidhar, Kasturi Narasimha, Siboni, Nima Hamidi, Mianroodi, Jaber Rezaei, Rohwerder, Michael, Neugebauer, Jörg, Raabe, Dierk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
Materias:
Physical and Materials Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10421031/
https://www.ncbi.nlm.nih.gov/pubmed/37566657
http://dx.doi.org/10.1126/sciadv.adg7992

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10421031/
https://www.ncbi.nlm.nih.gov/pubmed/37566657
http://dx.doi.org/10.1126/sciadv.adg7992

Ejemplares similares