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Héctor Lobato's Projects

anisotropic_nn_umat icon anisotropic_nn_umat

Neural Network (NN) based anisotropic material model with an Abaqus UMAT implementation

cann_new icon 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 icon cann_original

Constitutive Artificial Neural Networks (CANNs) for modeling of hyperelastic materials

dem_hyperelasticity icon 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 icon geo-fno

Geometry-Aware Fourier Neural Operator (Geo-FNO)

hypermodelcomp icon hypermodelcomp

Benchmarking physics-constrained data-driven models of hyperelasticity against rubber and soft tissue datasets

nlp icon nlp

Jupyter notebooks for the Natural Language Processing with Transformers book

node_tissuemechanics icon node_tissuemechanics

Automatically polyconvex strain energy functions using neural ordinary differential equations (Includes porcine skin data for training and FEM application examples).

thermalcann icon thermalcann

Model of thermo-hyperelasticity using Constitutive Artificial Neural Networks

wandb_edu icon wandb_edu

Educational materials on deep learning by Weights & Biases

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