首页|Researchers from East China Normal University Report on Findings in Machine Learning (Machine Learning Accelerated Study for Predicting the Lattice Constant and Substitution Energy of Metal Doped Titanium Dioxide)
Researchers from East China Normal University Report on Findings in Machine Learning (Machine Learning Accelerated Study for Predicting the Lattice Constant and Substitution Energy of Metal Doped Titanium Dioxide)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsoriginating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Currently,titanium dioxide (TiO2) has been extensively studied for its wide applications in many fields, andmetal doping is regarded as one of the important methods for modifying TiO2 to improve its performance.Previous explorations on metal doped TiO2 mainly relied on density functional theory (DFT) calculationsor chemical experiments, which required lots of time, computation resource, and costs.”
ShanghaiPeople’s Republic of ChinaAsiaChemicalsCyborgsEmerging TechnologiesLight MetalsMachine LearningTitaniumTitanium DioxideEast China Normal University
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