首页|ShanghaiTech University Reports Findings in Machine Learning (Leveraging Machine Learning Potentials for In-Situ Searching of Active sites in Heterogeneous Cata lysis)
ShanghaiTech University Reports Findings in Machine Learning (Leveraging Machine Learning Potentials for In-Situ Searching of Active sites in Heterogeneous Cata lysis)
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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 news reportingfrom Shanghai, People’s Repub lic of China, by NewsRx journalists, research stated, “This Perspectiveexplores the integration of machine learning potentials (MLPs) in the research of hetero geneous catalysis,focusing on their role in identifying active sites and enhanc ing the understanding of catalytic processes.MLPs utilize extensive databases f rom high-throughput density functional theory (DFT) calculations totrain models that predict atomic configurations, energies, and forces with near-DFT accuracy .”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine Learning
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