Alternatives and similar repositories for StructGNN

Users that are interested in StructGNN are comparing it to the libraries listed below

• dsmyl6 / OpenPyStruct
  Open-source toolkit that provides finite element model based optimization frameworks for generating training data and machine learning mo…
  ☆25Updated 3 months ago
• ZeqingJin / MeshPhysicsGNN-NeuralOps
  ☆20Updated last year
• alovberg / cumulative-damage-pytorch
  Physics-informed neural network for fatigue crack propagation (Paris' law)
  ☆20Updated 4 years ago
• XYJ0904 / Weighted-Pyramid-Stacked-Network
  ☆11Updated 2 years ago
• hyoungsuksuh / ABAQUS_NN
  ☆59Updated 2 years ago
• meghbali / ANNElastoplasticity
  Neural Network Approach for Elastoplastic Constitutive Modeling
  ☆25Updated 2 years ago
• federicosanna / UNet-for-FEM-and-Stress-Distribution-Inference
  A Machine Learning approach to Finite Element Methods, using U-Net inspired architectures.
  ☆30Updated 6 years ago
• kariln / Predictions-of-thermal-fields-in-additive-manufacturing
  Predicting Thermal Fields in AdditiveManufacturing by FEM simulations andMachine Learning
  ☆65Updated 4 years ago
• rishithellathmeethal / fem_nn
  FEM enhanced neural network
  ☆20Updated 3 years ago
• phyml4e / PINNs
  ☆21Updated last year
• marcomau06 / GNNs_fields_prediction
  Graph neural networks for stress and strain fields prediction
  ☆56Updated 3 years ago
• Jasiuk-Research-Group / DEM_for_J2_plasticity
  A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.
  ☆27Updated 3 years ago
• gyrn297 / PINNTO
  ☆20Updated 2 years ago
• marcin-laskowski / Stress-Distribution-with-Deep-Learning
  A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis
  ☆27Updated 7 years ago
• taniyakapoor / PINNs_beam
  Complex beam PDEs are solved using physics informed neural networks
  ☆12Updated last year
• nanogchen / rnn-viscoelasticity
  Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity
  ☆19Updated 10 months ago
• AdityaJoglekar / DMF-TONN
  Direct Mesh-free Topology Optimization using Neural Networks
  ☆22Updated 2 years ago
• ISM-Weimar / DeepEnergyMethods
  ☆46Updated 2 years ago
• JinshuaiBai / LSWR_loss_function_PINN
  A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics
  ☆59Updated last year
• zidanmahmoud / fiber_beam_column
  A stand-alone object oriented Python code to model a fiber beam-column reinforced concrete under seismic loading
  ☆11Updated 6 years ago
• Junjun1guo / pythonInteractAbaqus
  A general pre and post process framework for finite element analysis, such as ABAQUS, OpenSees et al.
  ☆27Updated 2 years ago
• ERA-Software / Overview
  ☆23Updated 5 months ago
• bjorntsv / pyfemu
  FE model updating in Python
  ☆11Updated 4 years ago
• amir-cardiolab / PINN_multiphysics_multifidelity
  ☆45Updated 3 years ago
• BBahtiri / Deep-Learning-Constitutive-Model
  A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…
  ☆26Updated 6 months ago
• xiaoh / constitutive-neural-networks
  Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME
  ☆12Updated 4 years ago
• bessagroup / rvesimulator
  Automated representative volume element simulator via abaqus for material constitutive law discovery
  ☆30Updated last month
• ShuhengLiao / Physics_informed_AM
  ☆30Updated last year
• tgulikers / ABAQUS_ANN_constitutive_model
  Computational framework to implement an artificial neural network based constitutive model in Abaqus for mesh coarsening
  ☆52Updated 7 years ago
• attaoveisi / Coupling_ABAQUS_MATLAB
  we introduce a new framework for running the finite element (FE) packages inside an online Loop together with MATLAB. Contrary to the Har…
  ☆27Updated 5 years ago