Autonomous Materials Search for Magnetic Materials
Year: 2025
Type: article
Abstract: In recent years, “Materials Informatics,” which leverages data science for the exploration of novel materials, has gained significant attention. Among various approaches, “autonomous materials discovery,” which integrates robotics and materials simulations with machine learning, has emerged as a promising method for efficiently navigating vast material spaces. In this study, we employed a simulation-based autonomous materials discovery approach that combines first-principles calculations with Bayesian optimization to explore a broad space of magnetic alloys. As a result, we successfully discovered and synthesized novel alloys with high magnetization.
Source: Vacuum and Surface Science
DOI: 10.1380/vss.68.328
Author: Yuma IWASAKI
Institution: National Institute for Materials Science
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411140588