首页|University of Science and Technology of China Reports Findings in Machine Learni ng (Structure Sensitivity of Metal Catalysts Revealed by Interpretable Machine L earning and First-Principles Calculations)
University of Science and Technology of China Reports Findings in Machine Learni ng (Structure Sensitivity of Metal Catalysts Revealed by Interpretable Machine L earning and First-Principles Calculations)
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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 originating from Hefei, People’s Republ ic of China, by NewsRx correspondents, research stated, “The nature of the activ e sites and their structure sensitivity are the keys to rational design of effic ient catalysts but have been debated for almost one century in heterogeneous cat alysis. Though the Bronsted-Evans- Polanyi (BEP) relationship along with linear s caling relation has long been used to study the reactivity, explicit geometry, a nd composition properties are absent in this relationship, a fact that prevents its exploration in structure sensitivity of supported catalysts.”
HefeiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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