Machine Learning-Driven Multidomain Nanomaterial Design: From Bibliometric Analysis to Applications
Hong Wang,
Hengyu Cao,
Liang Yang
Abstract:Machine learning (ML), as an advanced data analysis tool, simulates the learning process of the human brain, enabling the extraction of features, discovery of patterns, and making accurate predictions or decisions from complex data. In the field of nanomaterial design, the application of ML technology not only accelerates the discovery and performance optimization of nanomaterials but also promotes the innovation of materials science research methods. Bibliometrics, as a research method based on quantitative a… 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.