Time-dependent dielectric density functional theory predictions for excited-state molecular properties using neural networks guided by lower-level quantum chemistry
CHEMICAL PHYSICS LETTERS（2023）
摘要
•Neural network predictions of excited-state properties for dielectric DFT method.
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关键词
Neural network,Time-dependent dielectric DFT method,Molecular excited-state properties,Guide of lower-level method,Excited dye
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