首页|University of Science and Technology of China Reports Findings in Machine Learni ng (Spectra-Based Machine Learning for Predicting the Statistical Interaction Pr operties of CO Adsorbates on Surface)
University of Science and Technology of China Reports Findings in Machine Learni ng (Spectra-Based Machine Learning for Predicting the Statistical Interaction Pr operties of CO Adsorbates on Surface)
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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 th e subject of a report.According to news reporting originating from Hefei,Peopl e's Republic of China,by NewsRx correspondents,research stated,"Theoretical a nalyses of small-molecule adsorption on heterogeneous catalyst surfaces often re ly on simplified models of molecular adsorption with the most favorable configur ation.Given that real-world experimental tests frequently entail multiple molec ules interacting with the surface,there is a pressing need for a comprehensive multimolecule adsorption model to bridge the gap between theory and experiment." Our news editors obtained a quote from the research from the University of Scien ce and Technology of China,"Using machine learning,we predict the average valu es of important adsorption properties from conformationally averaged,calculated infrared and Raman spectra and compare these values to those theoretically deri ved from the conformationally averaged ensemble.Remarkably,our approach yields excellent predictions even when faced with large and indeterminate numbers of s urface molecules."
HefeiPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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