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  3. Zhao Beichen

Zhao Beichen

  • Visiting Student, Applied Mathematics and Computational Science
zhao.beichen@kaust.edu.sa

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Katerina Nik

  • Assistant Professor, Applied Mathematics and Computational Science

Partial Differential Equations free boundary problems calculus of variations Mathematical Biology Microelectromechanical fluid dynamics mean curvature flow

Related Sites

  • Applied Mathematics and Computational Science (AMCS)
  • Mathematical Modeling and Differential Equations (MMDE)

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  • Events
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  • Upcoming Events

    • KAUST CEMSE AMCS STAT Graduate Seminar  Zhao Beichen Physics-Informed Spatiotemporal Surrogate Modeling and Robust Operational Optimization for CO₂ Applications in Subsurface Flow under Permeability Uncertainty

      Physics-Informed Spatiotemporal Surrogate Modeling and Robust Operational Optimization for CO₂ Applications in Subsurface Flow under Permeability Uncertainty

      Zhao Beichen, Visiting Student, Applied Mathematics and Computational Science
      Sep 17, 12:00 - 13:00

      B9 R2325

      Physics-informed Neural Networks AI Deep learning numerical simulations geologic media uncertainty quantification

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Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

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