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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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  • Research
    • Scientific ML
      • Physics-informed neural net
    • Physiological Modeling
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    • ML in Turbulence
    • UQ in Turbulence
    • Data Assimilation/UQ
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Organized USACM Thematic Conference on Benchmark for Data-driven Modeling

Posted on April 18, 2023April 18, 2023 by Jian-Xun Wang

We have organized a USACM Thematic Conference on establishing benchmarks for data-driven modeling of physical systems.

https://sites.google.com/view/usacmdatabenchmarks/home

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Putting the “science” in AI
Our group will give 6 presentations @ APS DFD 2023
  • Home
  • Research
    • 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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