首页|Findings from Humboldt University Provide New Insights into Machine Learning (The Future of Computational Catalysis)
Findings from Humboldt University Provide New Insights into Machine Learning (The Future of Computational Catalysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting originating from Berlin, Germany, b y NewsRx editors, the research stated, “The future of computational heterogeneou s catalysis is shaped by machine learning in two different but equally important areas: (i) development of atomistic potentials that closely approximate DFT and wavefunction based ab initio methods (MP2, CCSD(T)), but are computationally mo re efficient, and (ii) finding structure and reactivity descriptors for predicti ng catalytic materials and reactions.”
BerlinGermanyEuropeCyborgsEmergi ng TechnologiesMachine LearningHumboldt University
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