A Comprehensive and Versatile Multimodal Deep‐Learning Approach for Predicting Diverse Properties of Advanced Materials

A multimodal deep‐learning (MDL) framework is presented for predicting physical properties of a ten‐dimensional acrylic polymer composite material by merging physical attributes and chemical data. The MDL model comprises four modules, including three generative deep‐learning models for material stru...

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Detalles Bibliográficos
Autores principales: Muroga, Shun, Miki, Yasuaki, Hata, Kenji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460884/
https://www.ncbi.nlm.nih.gov/pubmed/37357977
http://dx.doi.org/10.1002/advs.202302508

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460884/
https://www.ncbi.nlm.nih.gov/pubmed/37357977
http://dx.doi.org/10.1002/advs.202302508

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