pzimbrod Goto Github PK

.dotfiles

A collection of my configs for Linux and MacOS

deeponet

Learning nonlinear operators via DeepONet

dgtest

Reference Code in Discontinuous Galerkin Formulation for Benchmark Purposes

ieee-iceccme-2022

koopman-neural-network-training

Software to train neural networks via Koopman operator theory (see Dogra and Redman "Optimizing Neural Networks via Koopman Operator Theory" NeurIPS 2020 for details).

mdwiki-examples

A collection of example wesbites created with MDwiki

meshes.jl

Computational geometry and meshing algorithms in Julia

ml-for-phasefield

moose-pbf

An (early) attempt to model a L-PBF process using the MOOSE Framework with varying numerical schemes. Currently focusing on simultaneous use of CG and DG.

multiphysics-pde-methods

Source code repository for the publication "An Application Driven Method for Assembling Numerical Schemes for the Solution of Complex Multiphysics Problems"

operatorlearning.jl

No need to train, he's a smooth operator

orcidlink-latex-command

LaTeX style file to add a macro for inserting a linked ORCiD logo

physics-informed-deeponets

pinn-for-am

Physics-informed neural networks (PINNs) and deep operator networks for complex PDEs that appear in additive manufacturing.

pino

pzimbrod.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

standard-notes-open-extended

A Free Open Source Standard Notes Extensions Repository Hosted via Github Pages

thermocapillaryinterfoam

A VoF-based multiphase solver including heat transfer, marangoni flow and laser interaction in OpenFOAM intended for modelling complex surface-tension driven flows