Studies from University of Toronto in the Area of Machine Learning Reported (Hig h-entropy Alloy Electrocatalysts Screened Using Machine Learning Informed By Qua ntum-inspired Similarity Analysis)
Studies from University of Toronto in the Area of Machine Learning Reported (Hig h-entropy Alloy Electrocatalysts Screened Using Machine Learning Informed By Qua ntum-inspired Similarity Analysis)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating from Toronto, Canada, by New sRx correspondents, research stated, “The discovery of newelectrocatalysts can be aided by density functional theory (DFT) computation of overpotentials based onthe energies of chemical intermediates on prospective adsorption sites. We hy pothesize that when traininga machine learning model on DFT data, one could imp rove accuracy by introducing a quantitative measureof similarity among adsorpti on sites.”
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Toronto/Canada/North and Central Ameri ca/Cyborgs/Emerging Technologies/Machine Learning/University of Toronto
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