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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...

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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

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