首页|University of Chicago Reports Findings in Machine Learning [A Molecular View of Methane Activation on Ni(111) through Enhanced Sampling and M achine Learning]
University of Chicago Reports Findings in Machine Learning [A Molecular View of Methane Activation on Ni(111) through Enhanced Sampling and M achine Learning]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting from Chicago, Illinois, by Ne wsRx journalists, research stated, “A combination of machine learned interatomic potentials (MLIPs) and enhanced sampling simulations is used to investigate the activation of methane on a Ni(111) surface. The work entails the development an d iterative refinement of MLIPs, initially trained on a data set constructed via molecular dynamics simulations, supplemented by adaptive biasing forces, to enrich the sampling of catalytically relevant configurations.”
ChicagoIllinoisUnited StatesNorth and Central AmericaAlkanesCyborgsEmerging TechnologiesMachine LearningMethane
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