thermodynamics

Thermophysical properties for the masses

Thermodynamics and Phase Equilibrium component of Chemical Engineering Design Library (ChEDL)

🌌 A collaborative list of awesome software for exploring Physics concepts

DWSIM is a Steady-State and Dynamic Sequential Modular Chemical Process Simulator for Windows, Linux and macOS.

Python version of the amazing Reaction Mechanism Generator (RMG).

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 refrigeration machines.

CALPHAD tools for designing thermodynamic models, calculating phase diagrams and investigating phase equilibria.

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

FeOs - A Framework for Equations of State and Classical Density Functional Theory

CEA computes the equilibrium composition of mixtures via free-energy minimization, and uses the resulting product concentrations to determine thermodynamic and transport properties. It includes a large database of species with thermodynamic curve-fit data, and can be used for rocket performance, detonation parameters, and shock-wave analysis.

DWSIM - Open Source Chemical Process Simulator (5.x series)

SciBlend: Advanced Data Visualization Workflows within Blender.

NeqSim is a library for calculation of fluid behavior, phase equilibrium and process simulation

NeqSim is a library for calculation of fluid behavior, phase equilibrium and process simulation. This project is a Python interface to NeqSim.

Fast, differentiable moist thermodynamics for Earth system models.

Fitting thermodynamic models with pycalphad - https://doi.org/10.1557/mrc.2019.59

PrimerServer2: a high-throughput primer design and specificity-checking platform

Gas models, combustion and gas turbine solver.

PYroMat thermodynamic properties in Python