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Finite volume solver for incompressible multiphase flows with surface tension. Foaming flows in complex geometries.
C++ 405 43
Lightweight and scalable framework for Reinforcement Learning
C++ 117 50
ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equations.
Python 88 9
Computational Microfluidics
C++ 50 17
Repository for data and scripts of "Automating Turbulence Modeling by Multi-Agent Reinforcement Learning"
Python 28 21
C++ 20 11
Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
A scalable implementation of WobblyStitcher for 3D microscopy images
Simulate cells and particles
High-fidelity Navier-Stokes solver for incompressible flows around obstacles with distributed block-structured adaptively refined grids.
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