首页|University of Utah Reports Findings in Machine Learning (Bayesian Analysis Revea ls the Key to Extracting Pair Potentials from Neutron Scattering Data)
University of Utah Reports Findings in Machine Learning (Bayesian Analysis Revea ls the Key to Extracting Pair Potentials from Neutron Scattering Data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting from Salt Lake City, Utah, by NewsRx journalists, research stated, “Learning interaction potentialsfrom the structure factor is frequently seen as impractical due to accuracy constraints o f neutron and X-rayscattering experiments. This study reexamines this historic inverse problem using Bayesian inference andprobabilistic machine learning on a Mie fluid to elucidate how measurement noise impacts the accuracy ofrecovered potentials.”
Salt Lake CityUtahUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine Learning
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