Héctor Lobato's repositories
hypermodelcomp
Benchmarking physics-constrained data-driven models of hyperelasticity against rubber and soft tissue datasets
Anisotropic_NN_UMAT
Neural Network (NN) based anisotropic material model with an Abaqus UMAT implementation
CANN_new
when using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.org/10.1016/j.cma.2022.115731
CANN_original
Constitutive Artificial Neural Networks (CANNs) for modeling of hyperelastic materials
deeponet-fno
DeepONet & FNO (with practical extensions)
dem_hyperelasticity
A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on the idea of minimum potential energy. The method is named "Deep Energy Method".
Geo-FNO
Geometry-Aware Fourier Neural Operator (Geo-FNO)
MMLDT_Course
MMLDT-CSET 2021 SUNDAY
neural_operator_bootcamp
Bootcamp notebooks
nlp
Jupyter notebooks for the Natural Language Processing with Transformers book
NODE_TissueMechanics
Automatically polyconvex strain energy functions using neural ordinary differential equations (Includes porcine skin data for training and FEM application examples).
NonlinearFEA
Course repository for nonlinear finite element analsis
PINN_Comp_Mech
PINN program for computational mechanics
PtitPrince
python version of raincloud
thermalCANN
Model of thermo-hyperelasticity using Constitutive Artificial Neural Networks
Thermodynamics-Neural-Networks
Thermodynamics-based Artificial Neural Networks
wandb_edu
Educational materials on deep learning by Weights & Biases