首页|University of Basel Reports Findings in Machine Learning (AcceleratingFourth-Ge neration Machine Learning Potentials Using Quasi- Linear Scaling Particle Mesh Ch arge Equilibration)
University of Basel Reports Findings in Machine Learning (AcceleratingFourth-Ge neration Machine Learning Potentials Using Quasi- Linear Scaling Particle Mesh Ch arge Equilibration)
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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 from Basel, Switzerland, by N ewsRx journalists, research stated, “Machine learning potentials(MLPs) have rev olutionized the field of atomistic simulations by describing atomic interactions with theaccuracy of electronic structure methods at a small fraction of the co st. Most current MLPs constructthe energy of a system as a sum of atomic energi es, which depend on information about the atomicenvironments provided in the fo rm of predefined or learnable feature vectors.”
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