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@CAME-THU

CAME-THU

CAME (Computational AI for Multiphase flow in Energy) research group in Tsinghua University (THU).

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  1. VLT-PINN VLT-PINN Public

    Variable linear transformation improved physics-informed neural networks (VLT-PINNs) for thin-layer flow problems

    Python 6

Repositories

Showing 3 of 3 repositories
  • KH-PINN Public

    Physics-informed neural networks to solve inverse problems of Kelvin-Helmholtz instability (KHI) flows

    CAME-THU/KH-PINN’s past year of commit activity
    Python 3 MIT 0 1 0 Updated Mar 18, 2025
  • VLT-PINN Public

    Variable linear transformation improved physics-informed neural networks (VLT-PINNs) for thin-layer flow problems

    CAME-THU/VLT-PINN’s past year of commit activity
    Python 6 MIT 0 0 0 Updated Mar 4, 2025
  • FlamePINN-1D Public

    Physics-informed neural networks to solve forward and inverse problems of 1D laminar flames

    CAME-THU/FlamePINN-1D’s past year of commit activity
    Python 12 MIT 2 2 0 Updated Mar 4, 2025

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