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    • Federated scientific machine learning for approximating functions and solving differential equations with data heterogeneity
      Python
      1300Updated Oct 13, 2025Oct 13, 2025
    • One-shot learning for solution operators of partial differential equations
      Jupyter Notebook
      41800Updated Oct 9, 2025Oct 9, 2025
    • Neural topology optimization via active learning for efficient channel design in turbulent mass transfer
      Python
      1400Updated Oct 9, 2025Oct 9, 2025
    • A noninvasive method for determining elastic parameters of valve tissue using physics-informed neural networks
      Python
      1300Updated Oct 1, 2025Oct 1, 2025
    • 0100Updated Sep 5, 2025Sep 5, 2025
    • Deep learning for solving and estimating dynamic macro-finance models
      Python
      81400Updated Aug 23, 2025Aug 23, 2025
    • Quantum DeepONet: Neural operators accelerated by quantum computing
      Python
      01100Updated Jun 10, 2025Jun 10, 2025
    • sbinn

      Public
      Systems biology: Identifiability analysis and parameter identification via systems-biology-informed neural networks
      Python
      173500Updated Mar 20, 2025Mar 20, 2025
    • Efficient and generalizable nested Fourier-DeepONet for three-dimensional geological carbon sequestration
      Python
      2700Updated Jan 25, 2025Jan 25, 2025
    • Identifying heterogeneous micromechanical properties of biological tissues via physics-informed neural networks
      Python
      2700Updated Jan 24, 2025Jan 24, 2025
    • Speeding up and reducing memory usage for scientific machine learning via mixed precision
      Jupyter Notebook
      21020Updated Dec 27, 2024Dec 27, 2024
    • Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration
      Python
      41640Updated Sep 7, 2024Sep 7, 2024
    • Transfer learning on physics-informed neural networks for tracking the hemodynamics in the evolving false lumen of dissected aorta
      Python
      21600Updated Aug 4, 2024Aug 4, 2024
    • Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
      Python
      12900Updated Dec 29, 2023Dec 29, 2023
    • A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data
      Python
      62335220Updated Jul 14, 2023Jul 14, 2023
    • Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport
      Jupyter Notebook
      143520Updated Jul 12, 2023Jul 12, 2023
    • Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material properties in solid mechanics
      Python
      72310Updated Jul 3, 2023Jul 3, 2023
    • Reliable extrapolation of deep neural operators informed by physics or sparse observations
      Python
      52800Updated Jun 4, 2023Jun 4, 2023
    • mionet

      Public
      MIONet: Learning multiple-input operators via tensor product
      Python
      123950Updated Nov 13, 2022Nov 13, 2022
    • A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks
      Python
      179260Updated Oct 24, 2022Oct 24, 2022
    • gpinn

      Public
      Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems
      Python
      189960Updated Apr 15, 2022Apr 15, 2022