Mo Zhou, Graduate Student

I am a Ph.D. candidate at Department of Mathematics. I do research on scientific computing problems using machine learning techniques. If you have any question about me or you are seeking for collaboration, please do not hesitate to send me an email.

Please note: Mo has left the Mathematics department at Duke University; some info here might not be up to date.

Contact Info:

Office Location:
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Web Page:	https://users.cs.duke.edu/~mz159/

Recent Publications

1. Zhou, M; Han, J; Lu, J, ACTOR-CRITIC METHOD FOR HIGH DIMENSIONAL STATIC HAMILTON-JACOBI-BELLMAN PARTIAL DIFFERENTIAL EQUATIONS BASED ON NEURAL NETWORKS, Siam Journal on Scientific Computing, vol. 43 no. 6 (January, 2021), pp. A4043-A4066, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]
2. Han, J; Lu, J; Zhou, M, Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach, Journal of Computational Physics, vol. 423 (December, 2020) [doi]  [abs]