Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design ...
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 ...
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