首页|Findings from Johns Hopkins University in Machine Learning Reported@@(Kinetic Con sequences of Quasi-harmonic Entropies Calculated@@With Machine Learning Interatom ic Potentials for Microkinetic@@Modeling)
Findings from Johns Hopkins University in Machine Learning Reported@@(Kinetic Con sequences of Quasi-harmonic Entropies Calculated@@With Machine Learning Interatom ic Potentials for Microkinetic@@Modeling)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting originating in Baltimore, M aryland, by NewsRx journalists, research stated, “Microporouscatalysts are ubiq uitous in chemical processes including sustainable transformations of biobased f eedstocksinto fuels and fine chemicals. The mechanistic insights needed to desi gn next-generation microporouscatalysts can be obtained with ab initio simulati ons coupled with microkinetic modeling, yet active siteconfinement complicates an accurate determination of adsorbate entropies, which, in turn, affect predictions of rate and equilibrium constants.”
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