首页|Findings on Machine Learning Discussed by Investigators at Texas Technical Unive rsity (The Importance of Reaction Energy In Predicting Chemical Reaction Barrier s With Machine Learning Models)
Findings on Machine Learning Discussed by Investigators at Texas Technical Unive rsity (The Importance of Reaction Energy In Predicting Chemical Reaction Barrier s With Machine Learning Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Current study results on Machine Learning have been published. According to news reporting originating from Lubbock, T exas, by NewsRx correspondents, research stated, “Improving our fundamental unde rstanding of complex heterocatalytic processes increasingly relies on electronic structure simulations and microkinetic models based on calculated energy differ ences. In particular, calculation of activation barriers, usually achieved through compute-intensive saddle point search routines, remains a serious bottleneck in understanding trends in catalytic activity for highly branched reaction netwo rks.”
LubbockTexasUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningTexas Techni cal University
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