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机译:单一的金属原子之间的相互作用趋势氧化支持与密度泛函理论和统计学习
Department of Mechanical and Nuclear Engineering, The Pennsylvania State University, University Park, PA, USA;
Department of Chemical Engineering, The Pennsylvania State University, University Park, PA, USA;
Statistical learning; energy of formation; Interface bonding strengthAtomssinteringMetalsdensity functional theoryoxides;
机译:Findings from University of Stavanger Provide New Insights into Machine Learning (Transition Metal Single-atom Supported On Pc3 Monolayer for Highly Efficient Hydrogen Evolution Reaction By Combined Density Functional Theory and Machine …)
机译:Reports Summarize Machine Learning Findings from Beijing Normal University (Identifying Key Factors of Peroxymonosulfate Activation On Single-atom M-n-c Catalysts: a Combined Density Functional Theory and Machine Learning Study)
机译:New Machine Learning Findings from Beijing University of Technology Described (A Study of Two-dimensional Single Atom-supported Mxenes As Hydrogen Evolution Reaction Catalysts Using Density Functional Theory and Machine Learning)
机译:The effects of alkali metal on structure of manganese oxide supported on sBa-15 for application in the toluene catalytic oxidation