Robotics & Machine Learning Daily News2024,Issue(Jan.4) :55-56.

Virginia Polytechnic Institute and State University (Virginia Tech) Reports Findings in Machine Learning (Improving the Accuracy of Physics-Based Hydration-Free Energy Predictions by Machine Learning the Remaining Error Relative to the ...)

Robotics & Machine Learning Daily News2024,Issue(Jan.4) :55-56.

Virginia Polytechnic Institute and State University (Virginia Tech) Reports Findings in Machine Learning (Improving the Accuracy of Physics-Based Hydration-Free Energy Predictions by Machine Learning the Remaining Error Relative to the ...)

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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 newsreporting out of Blacksburg, Virginia, by NewsRx editors, research stated, “The accuracy of computationalmodels of water is key to atomistic simulations of biomolecules. We propose a computationally efficientway to improve the accuracy of the prediction of hydration-free energies (HFEs) of small molecules: theremaining errors of the physics-based models relative to the experiment are predicted and mitigated bymachine learning (ML) as a postprocessing step.”

Key words

Blacksburg/Virginia/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning

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2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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