Research from University of Utah Provides New Data on MachineLearning (Impact o f classical statistics on thermal conductivity predictions of Bas and diamond us ing machine learning molecular dynamics)
Research from University of Utah Provides New Data on MachineLearning (Impact o f classical statistics on thermal conductivity predictions of Bas and diamond us ing machine learning molecular dynamics)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New study results on artificial intelligence have been published. According to news reportingout of the University of Utah by Ne wsRx editors, research stated, “Machine learning interatomic potentials(MLIPs) have greatly enhanced molecular dynamics (MD) simulations, achieving near-first- principlesaccuracy in thermal conductivity studies.”
Key words
University of Utah/Cyborgs/Emerging Te chnologies/Machine Learning/Molecular Dynamics/Physics
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