Deep learning for complex chemical systems
Wei Li1, Guoqiang Wang1, Jing Ma1
1Key Laboratory of Mesoscopic Chemistry of Ministry of Education, Institute of Theoretical and Computational Chemistry, School of Chemistry and Chemical Engineering, Nanjing University, China.
Abstract:
Deep learning forms a bridge between the local features of molecular fragments/localized orbitals and the global properties of complex systems, enabling multi-scale simulations of complex chemical systems and reaction processes.
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