Robotics & Machine Learning Daily News2024,Issue(Jan.26) :72-73.

University of Chemistry and Technology Reports Findings in Machine Learning (Fast and accurate excited states predictions: machine learning and diabatization)

Robotics & Machine Learning Daily News2024,Issue(Jan.26) :72-73.

University of Chemistry and Technology Reports Findings in Machine Learning (Fast and accurate excited states predictions: machine learning and diabatization)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to news reportingout of Prague, Czech Republic, by NewsRx editors, research stated, “The efficiency of machine learningalgorithms for electronically excited states is far behind ground-state applications. One of the underlyingproblems is the insufficient smoothness of the fitted potential energy surfaces and other properties in thevicinity of state crossings and conical intersections, which is a prerequisite for an efficient regression.”

Key words

Prague/Czech Republic/Europe/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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