Two curated guides review 67 free AI and computational tools for your daily work in the lab, from literature discovery and ...

Found in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals known as multiple principal element alloys (MPEA) are about to get even ...

Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku ...

In materials science, if you can understand the "texture" of a material—how its internal patterns form and shift—you can ...

Advancements in Machine Learning for Materials Science Machine learning (ML) is really shaking things up in materials ...

The team developed a computational framework using robotic path planning algorithms to rapidly identify optimal composition gradients between dissimilar materials. The framework enables the creation ...

This workshop on Autonomous Materials Science will discuss where the weak links are in future systems that will reduce, and eventually eliminate, the need for human intervention in the design and ...

In October 2015 the National Academies of Sciences, Engineering, and Medicine convened a workshop of experts from diverse communities to examine predictive theoretical and computational approaches for ...

Materials informatics sits at the intersection of experimental science, computation, and data analytics. The aim is simple: use data and models to make discovering, designing, and deploying new ...