SDSC Comet and Machine Learning Simulates H2O with “Unprecedented Accuracy”
A team led by researchers at UC San Diego’s Department of Chemistry and Biochemistry and SDSC has used machine learning techniques to develop models for simulations of water with “unprecedented accuracy.” Published online in The Journal of Chemical Physics, the research demonstrates how popular ML techniques can be used to construct predictive molecular models based on quantum mechanical reference data.