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PINN
Physics-Informed Neural networks for Advanced modeling
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
Investigating PINNs
PyTorch Implementation of Physics-informed Neural Networks
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
Must-read Papers on Physics-Informed Neural Networks.
A library for scientific machine learning and physics-informed learning
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
SPECTRE: Supersonic Phase-change Ejector Cycle for Thermal Refrigeration Efficiency. This projects computationally models various refrigeration cycles and compares them to a novel refrigeration cyc…
Curated list for ML in FM
Lecture material for machine learning applied to computational fluid mechanics
Netgen/NGSolve is a high performance multiphysics finite element software. It is widely used to analyze models from solid mechanics, fluid dynamics and electromagnetics. Due to its flexible Python…
Multilayer Electromagnetic Solver for Heat transfer
The Thermal Systems Analysis Toolbox (TSAT) is a MATLAB/Simulink based tool for modeling and analysis of dynamic thermal systems involving heat transfer. It is best suited for 1-D and 2-D heat tran…
OpenFOAM transient solver for laminar or turbulent fluid flow and solid heat conduction with conjugate heat transfer between solid and fluid regions, plus combustion with chemical reactions (psi th…
Python library for simulating heat transfer processes
Coupled hydrogen/tritium transport and heat transfer modelling using FEniCS
Heat transfer component of Chemical Engineering Design Library (ChEDL)
A coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations.
Clapeyron provides a framework for the development and use of fluid-thermodynamic models, including SAFT, cubic, activity, multi-parameter, and COSMO-SAC.
The Biorefinery Simulation and Techno-Economic Analysis Modules; Life Cycle Assessment; Chemical Process Simulation Under Uncertainty
Thermal Engineering Systems in Python (TESPy). This package provides a powerful simulation toolkit for thermodynamic modeling of thermal engineering plants such as power plants, heat pumps or refri…
CALPHAD tools for designing thermodynamic models, calculating phase diagrams and investigating phase equilibria.
🌌 A collaborative list of awesome software for exploring Physics concepts
Thermodynamics and Phase Equilibrium component of Chemical Engineering Design Library (ChEDL)
Educational ipython source code for applied thermodynamics.