procf / RhINNs

Related projects ⓘ

Alternatives and complementary repositories for RhINNs

• Burigede / Learning_based_multiscale
  ☆10Updated last year
• filippo-masi / Thermodynamics-Neural-Networks
  Thermodynamics-based Artificial Neural Networks
  ☆22Updated last year
• filippo-masi / TANN-multiscale
  Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)
  ☆8Updated 2 months ago
• phyml4e / PINNs
  ☆16Updated 9 months ago
• BaratiLab / ROMER
  Reduced-Order Modeling of Fluid Flows with Transformers
  ☆19Updated last year
• somdattagoswami / DEM-PhaseField
  Adaptive phase field modeling of fracture using deep energy minimization.
  ☆30Updated 3 years ago
• xiaoh / constitutive-neural-networks
  Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME
  ☆11Updated 3 years ago
• tianjuxue / polycrystal
  ☆25Updated 2 years ago
• ContiPaolo / MultiFidelity_POD
  Multi-fidelity reduced-order surrogate modeling
  ☆12Updated last year
• ritukeshbharali / PhaseFieldFractureCOMSOL
  Phase Field Fracture modelling in COMSOL
  ☆16Updated 3 years ago
• vmattey / bc-PINN
  A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations
  ☆24Updated 2 years ago
• mohitksoni / Meachine-Learning-approach-to-solve-the-mechanics-problems
  This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…
  ☆14Updated 2 years ago
• hyoungsuksuh / ABAQUS_NN
  ☆42Updated last year
• nimahsn / pinns_tf2
  Yet another PINN implementation
  ☆18Updated 5 months ago
• sumanth107 / PINNs-TF2.4.0
  Contains implementation of PINN using Tensorflow 2.4.0
  ☆14Updated last year
• mechanoChem / mechanoChemML
  mechanoChemML library
  ☆16Updated last year
• amir-cardiolab / PINN_multiphysics_multifidelity
  ☆31Updated 2 years ago
• M3RG-IITD / FNO-StressStrain
  Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites
  ☆10Updated 2 years ago
• JinshuaiBai / PIRBN
  Physics-informed radial basis network
  ☆26Updated 6 months ago
• DENG-MIT / Stiff-PINN
  Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics
  ☆49Updated 2 years ago
• jhbastek / PhysicsInformedShellStructures
  Code for 'Physics-Informed Neural Networks for Shell Structures'
  ☆30Updated 3 months ago
• lu-group / pinn-material-identification
  Physics-informed neural networks for identifying material properties in solid mechanics
  ☆14Updated last year
• KTH-FlowAI / Physics-informed-neural-networks-for-solving-Reynolds-averaged-Navier-Stokes-equations
  ☆53Updated this week
• bessagroup / rvesimulator
  Automated representative volume element simulator via abaqus for material constitutive law discovery
  ☆16Updated 3 weeks ago
• AmeyaJagtap / XPINNs_TensorFlow-2
  XPINN code written in TensorFlow 2
  ☆27Updated last year
• bfly123 / PINN_WE
  Discontinuity Computing Using Physics-Informed Neural Network
  ☆21Updated 7 months ago
• MinhNguyenIKM / multiscale-homogenization
  Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …
  ☆18Updated 4 months ago
• GuangC-iScience / rnn-viscoelasticity
  Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity
  ☆14Updated 3 years ago
• Jasiuk-Research-Group / DEM_for_J2_plasticity
  A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.
  ☆16Updated last year
• deepmorzaria / Physics-Informed-Neural-Network-PINNs---TF-2.0
  Tensoflow 2 implementation of physics informed deep learning.
  ☆25Updated 4 years ago