首页|Brazilian Nanotechnology National Laboratory Reports Findings in Machine Learnin g (Performance Assessment of Universal Machine Learning Interatomic Potentials: Challenges and Directions for Materials’ Surfaces)
Brazilian Nanotechnology National Laboratory Reports Findings in Machine Learnin g (Performance Assessment of Universal Machine Learning Interatomic Potentials: Challenges and Directions for Materials’ Surfaces)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Sao Paulo, Brazil, by NewsRx editors, research stated, “Machine learning interatomicpotentials (MLIPs ) are one of the main techniques in the materials science toolbox, able to bridg eaccuracy with the computational efficiency of classical force fields. This all ows simulations ranging fromatoms, molecules, and biosystems, to solid and bulk materials, surfaces, nanomaterials, and their interfacesand complex interactio ns.”
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