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Math @ Duke





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Min Wang, Phillip Griffiths Assistant Research Professor

Min Wang

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

Contact Info:
Office Location:  
Email Address: send me a message
Web Pages:  http://sites.google.com/view/minwang
https://www.researchgate.net/profile/Min_Wang144

Office Hours:

Tuesday 9-11 (Fall 2019) @ Physics 184
Education:

Ph.D.Texas A&M University2019
Recent Publications   (More Publications)

  1. Spiridonov, D; Vasilyeva, M; Wang, M; Chung, ET, Mixed Generalized Multiscale Finite Element Method for flow problem in thin domains, Journal of Computational and Applied Mathematics, vol. 416 (December, 2022) [doi]  [abs]
  2. Dahmen, W; Wang, M; Wang, Z, Nonlinear Reduced DNN Models for State Estimation (October, 2021)  [abs]
  3. Wang, Y; Cheung, SW; Chung, ET; Efendiev, Y; Wang, M, Deep multiscale model learning, Journal of Computational Physics, vol. 406 (April, 2020), pp. 109071-109071, Elsevier BV [doi]  [abs]
  4. Wang, M; Cheung, SW; Chung, ET; Vasilyeva, M; Wang, Y, Generalized multiscale multicontinuum model for fractured vuggy carbonate reservoirs, Journal of Computational and Applied Mathematics, vol. 366 (March, 2020), pp. 112370-112370, Elsevier BV [doi]
  5. Wang, M; Cheung, SW; Leung, WT; Chung, ET; Efendiev, Y; Wheeler, M, Reduced-order deep learning for flow dynamics. The interplay between deep learning and model reduction, Journal of Computational Physics, vol. 401 (January, 2020), pp. 108939-108939, Elsevier BV [doi]

 

dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320