Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
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 ...
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
India has emerged as one of the world’s most dynamic and rapidly advancing centers for machine learning (ML)–enabled ...
A study in Nature Communications by Michele Ceriotti’s group at EPFL has introduced a new dataset and model that greatly improve the efficiency of machine-learning interatomic potentials (MLIPs) and ...
A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design ...
Startups flush with cash are building AI-assisted laboratories to find materials far faster and more cheaply, but are still ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences (CAS), has ...
The Department of Chemistry and Materials Science is looking for: ...
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