首页|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 ...)
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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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.”
BlacksburgVirginiaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learning
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