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

Abstract 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 mate...

Full description

Bibliographic Details
Main Authors: Shun Muroga, Yasuaki Miki, Kenji Hata
Format: Article
Language:English
Published: Wiley 2023-08-01
Series:Advanced Science
Subjects:
Online Access:https://doi.org/10.1002/advs.202302508