PredictiveIntelligenceLab / GradientPathologiesPINNs

Related projects ⓘ

Alternatives and complementary repositories for GradientPathologiesPINNs

• PredictiveIntelligenceLab / CausalPINNs
  ☆146Updated 9 months ago
• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆280Updated last year
• PredictiveIntelligenceLab / PINNsNTK
  ☆85Updated 3 years ago
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆115Updated 2 years ago
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆180Updated 3 years ago
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆122Updated 3 years ago
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆154Updated last year
• pierremtb / PINNs-TF2.0
  TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).
  ☆251Updated 11 months ago
• lu-group / deeponet-fno
  DeepONet & FNO (with practical extensions)
  ☆223Updated last year
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆250Updated last year
• lululxvi / hpinn
  hPINN: Physics-informed neural networks with hard constraints
  ☆115Updated 3 years ago
• okada39 / pinn_cavity
  Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
  ☆125Updated 4 years ago
• shawnrosofsky / PINO_Applications
  Applications of PINOs
  ☆109Updated 2 years ago
• Crunch-UQ4MI / neuraluq
  ☆152Updated 8 months ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆315Updated 5 months ago
• Raocp / PINN-elastodynamics
  physics-informed neural network for elastodynamics problem
  ☆119Updated 2 years ago
• alexpapados / Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics
  Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…
  ☆152Updated last year
• neuraloperator / physics_informed
  ☆368Updated 8 months ago
• lu-group / pinn-sampling
  Non-adaptive and residual-based adaptive sampling for PINNs
  ☆58Updated 2 years ago
• AdityaLab / pinnsformer
  ☆83Updated last month
• ehsankharazmi / hp-VPINNs
  hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations
  ☆75Updated 2 years ago
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆76Updated 2 years ago
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆183Updated last year
• i207M / PINNacle
  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
  ☆247Updated 3 months ago
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆124Updated 6 months ago
• ShotaDeguchi / PINN_TF2
  Implementation of PINNs in TensorFlow 2
  ☆71Updated last year
• okada39 / pinn_wave
  Physics Informed Neural Network (PINN) for the wave equation.
  ☆129Updated 4 years ago
• lu-group / gpinn
  gPINN: Gradient-enhanced physics-informed neural networks
  ☆78Updated 2 years ago
• Raocp / PINN-laminar-flow
  Physics-informed neural network for solving fluid dynamics problems
  ☆194Updated 3 years ago
• PredictiveIntelligenceLab / jaxpi
  ☆229Updated last week