Jiequn Han

38 papers and 4.3k indexed citations i.

Jiequn Han has authored 38 papers that have received a total of 4.3k indexed citations. This includes 13 papers in Artificial Intelligence, 12 papers in Statistical and Nonlinear Physics and 11 papers in Materials Chemistry. The topics of these papers are Model Reduction and Neural Networks (12 papers), Machine Learning in Materials Science (10 papers) and Stochastic processes and financial applications (5 papers). Jiequn Han is often cited by papers focused on Model Reduction and Neural Networks (12 papers), Machine Learning in Materials Science (10 papers) and Stochastic processes and financial applications (5 papers) and collaborates with scholars based in United States, China and Hong Kong. Jiequn Han's co-authors include E Weinan, Linfeng Zhang, Jianfeng Lu, Roberto Car and Arnulf Jentzen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and The Journal of Chemical Physics.