首页|University of Cambridge Reports Findings in Machine Learning (Data-efficient fin e-tuning of foundational models for firstprinciples quality sublimation enthalp ies)
University of Cambridge Reports Findings in Machine Learning (Data-efficient fin e-tuning of foundational models for firstprinciples quality sublimation enthalp ies)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting out of Cambridge, United King dom, by NewsRx editors, research stated, "Calculating sublimation enthalpies of molecular crystal polymorphs is relevant to a wide range of technological applic ations. However, predicting these quantities at first-principles accuracy-even with the aid of machine learning potentials-is a challenge that requires sub- kJ mol accuracy in the potential energy surface and finitetemperature sampling. " Financial supporters for this research include H2020 European Research Council, Churchill College, University of Cambridge, University of Cambridge, University College London, Simons Foundation, Engineering and Physical Sciences Research Co uncil.
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