NJmatWeb: An AI-Driven Web Platform Automating Machine Learning and Symbolic Regression for Materials Science
Data-driven methodologies are now widely employed for predicting materials properties; however, most existing tools fail to integrate automated feature selection, interpretable modeling, and an accessible user interface into a unified pipeline. To bridge this gap, we introduce NJmatWeb, a web-based platform that automa...