首页|National Center for Scientific Research (CNRS) Reports Findings in Machine Learn ing (DFTB Simulation of Charged Clusters Using Machine Learning Charge Inference )
National Center for Scientific Research (CNRS) Reports Findings in Machine Learn ing (DFTB Simulation of Charged Clusters Using Machine Learning Charge Inference )
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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 Caen, France, by NewsR x editors, research stated, “We present a modification to selfconsistent charge density functional-based tight binding (SCC-DFTB), which allows computation bas ed on approximate atomic charges. We obtain these charges by means of a machine learning (ML) process that combines a Coulomb model with a neural network.”
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