Designing a multilayer film via machine learning of scientific literature.

ABSTRACT: Scientists who design chemical substances often use materials informatics (MI), a data-driven approach with either computer simulation or artificial intelligence (AI). MI is a valuable technique, but applying it to layered structures is difficult. Most of the proposed computer-aided material search techniques use atomic or molecular simulations, which are limited to small areas. Some AI approaches have planned layered structures, but they require a physical theory or abundant experimental results. There is no universal design tool for multilayer films in MI. Here, we show a multilayer film can be designed through machine learning (ML) of experimental procedures extracted from chemical-coating articles. We converted material names according to International Union of Pure and Applied Chemist

SUBMITTER: Fukada K 

PROVIDER: S-EPMC8766440 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature