AI-driven material development and new additive manufacturing technology are accelerating new aluminum alloy, battery, and material processing innovations.

Data-driven science represents a transformative paradigm in materials science. Both data-driven materials science and informatics encompass systematic knowledge extraction from materials datasets.

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional materials. Materials scientists are therefore working to develop and improve new ...

The development of next-generation metallic materials is entering a transformative era driven by data-driven methodologies. Traditional trial-and-error ...

Kohei Noda, a researcher at JSR Corporation, and Professor Ryo Yoshida at the Institute of Statistical Mathematics, along with their research group, have developed an innovative machine learning ...

Ohio State Marion’s STEMcoding Project offers a summer 2026 data science course for teachers with online and hybrid options and CEUs available.