Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...

Dhruv Shenai investigates how machine learning and lab automation are transforming materials science at Cambridge ...

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

A recent study published in Small highlights how machine learning (ML) is reshaping the search for sustainable energy materials. Researchers introduced OptiMate, a graph attention network designed to ...

Shape memory alloys are exotic materials that can be deformed at room temperature and return to their "remembered," ...

Overview and trends of intelligent photonics in emerging technologies. Diffractive and metasurface neural networks for intelligent, versatile processing of free-space information. FAYETTEVILLE, GA, ...

How can artificial intelligence (AI) machine learning models be used to identify new materials? This is what a recent study published in Nature hopes to address as a team of researchers investigated ...