Solving Universal Differential Equations in Julia
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Updated
Jun 3, 2024 - Julia
Solving Universal Differential Equations in Julia
A Physics-Informed Neural Network to solve 2D steady-state heat equation.
DuMux: an open-source simulator for flow and transport processes in porous media (repository mirrored from https://git.iws.uni-stuttgart.de/dumux-repositories/dumux.git)
Next generation FEniCS problem solving environment
Finite element toolbox for Julia
This is a repository for CS4ML. It is a general framework for active learning in regression problems. It approximates a target function arising from general types of data, rather than pointwise samples.
🔍 finite element analysis for continuum mechanics of solid bodies
Colección de trabajos asociados al ramo con el nombre del repositorio dictado por la Escuela de Ingeniería de la Universidad de Chile.
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
Numerical Linear Algebra
This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs
pySDC is a Python implementation of the spectral deferred correction (SDC) approach and its flavors, esp. the multilevel extension MLSDC and PFASST.
Finite Element tools in Julia
Learning in infinite dimension with neural operators.
FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries
Neural Operator-Assisted Computational Fluid Dynamics in PyTorch
Creating a function in MATLAB to 3D plot the transfer of heat over time by solving the one dimensional partial differential heat equation.
UFL - Unified Form Language
Next generation FEniCS Form Compiler for finite element forms
Get a symbolic approximation to a system of nonlinear partial differential equations in the form of a truncated Taylor series representation
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