felipefr/galerkinML_EAMC2021 felipefr/galerkinML_EAMC2021

  • Stars
    star
    5
  • Rank 2,861,937 (Top 57 %)
  • Language
    Python
  • Created almost 4 years ago
  • Updated almost 4 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
felipefr/galerkinML_EAMC2021
github

felipefr

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Repositório com os arquivos usados no Workshop : "Galerkin convida Mr. Deep para um café", na edição de 2021 do EAMC realizado no LNCC. Autor : Felipe Figueredo Rocha.

More Repositories

1

micmacsfenics

micmacsfenics: a FEniCs-based implementation of two-level finite element simulations (FE2) using computational homogenization.
Python
13
star
2

ddfenics

a FEniCs-based (Model-Free) Data-driven Computational Mechanics implementation
Jupyter Notebook
9
star
3

gpmaterials

GPMaterials implements a rich set of finite element formulations for finite strain hyperelasticity, damage, multi-scale solid mechanics in both continuum and discrete level (truss-like network of fibres). This library was developed during my master and PhD studies at LNCC. Particularly this version is more related with my PhD and indeed it is the last stable version from late 2018, before starting writing up the thesis.
Fortran
7
star
4

fetricks

Useful tricks and some extensions for FEniCs and other FEM-related utilities (fe + tricks: where "fe" stands for FEM, FEniCs and me :) )
Python
2
star
5

optfem

Identifying material properties via optimisation algorithms and finite elements
Python
1
star
6

netfibGen

Library to generate fibre networks used in computational homogenisation analysis.
Python
1
star
7

Piola

Piola aims at mimetising SolverGP to provide a simple, C++, opensource alternative to it. I developed during my PhD at LNCC (2015-2019) for debug purposes. Please consider compilating a version of GPMaterials in a .so file, to be able to call the library from Piola. This version specifically relies on a valid Armadillo instalation for linearalgebra routines.
Fortran
1
star
8

deepbnd

Implementation of the DeepBND method based on FEniCs and Tensorflow
Python
1
star
9

mp2

Enseignement Mécanique du Point 2
TeX
1
star