Text‐to‐Microstructure Generation Using Generative Deep Learning
Xiaoyang Zheng,
Ikumu Watanabe,
Jamie Paik
et al.
Abstract:Designing novel materials is greatly dependent on understanding the design principles, physical mechanisms, and modeling methods of material microstructures, requiring experienced designers with expertise and several rounds of trial and error. Although recent advances in deep generative networks have enabled the inverse design of material microstructures, most studies involve property‐conditional generation and focus on a specific type of structure, resulting in limited generation diversity and poor human–comp… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.