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Computational Mechanics & Scientific Artificial Intelligence Lab (CoMSAIL)

Prof. Jian-xun Wang's research group -- we advance knowledge at the Interface of scientific AI and computational physics (scientific machine learning, data assimilation, physics-informed deep learning, Bayesian learning, differentiable programming, uncertainty quantification)

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Invited seminar in ME department at the University of Michigan, Ann Arbor.

Posted on December 5, 2019December 9, 2019 by Jian-Xun Wang

Dr. Wang will give a seminar talk at University of Michigan, Ann Arbor. Please see the announcement hereĀ https://me.engin.umich.edu/sites/default/files/2019-10/Wang%20announcement.pdf

 

 

Posted in News, Seminar

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Several presentations at APS DFD 2019, Seattle.
Our work on physics-constrained DL is covered by media
  • Home
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    • Scientific ML
      • Physics-informed neural net
    • Physiological Modeling
    • Inverse Problems
    • ML in Turbulence
    • UQ in Turbulence
    • Data Assimilation/UQ
  • Publication
  • Team Members
  • Lastest News
  • Openings (2025 Fall)
  • Gallery
  • Animations

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College of Engineering
University of Notre Dame
Notre Dame, IN 46556
140 Multidisciplinary Research Building
Email: jwang33@nd.edu
Phone: 574-631-5302

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