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机译:多尺度预测功能的自组装使用机器学习的材料:高性能的表面活性剂分子
Toyota Motor Co Ltd, Toyota Cho, Toyota, Aichi, Japan;
Kindai Univ, Dept Mech Engn, 3-4-1 Kowakae, Higashiosaka, Osaka, Japan;
FUNCTIONALS; Functional Materials; Surface-Active AgentsMACHINE APPLICATIONSMachine Learningphysical propertiesself-assembled materialssurfactant solutionmolecular structurechemicophysical propertiesmaterials science;
机译:Aalto University Reports Findings in Machine Learning (Accurate Computational Prediction of Core-Electron Binding Energies in Carbon-Based Materials: A Machine-Learning Model Combining Density-Functional Theory and GW)
机译:Researchers’ Work from Shenzhen Polytechnic Focuses on MachineLearning (Prediction On Discharging Properties of Nickelmanganese Materials for High-performance Sodium-ion Batteries Via Machine Learning Methods)
机译:Accurate Computational Prediction of Core-Electron Binding Energies in Carbon-Based Materials:A Machine-Learning Model Combining Density-Functional Theory and GW
机译:Machine Learning-Based Software Quality Prediction Models: State of the Art