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Thermodynamics powered by Machine Learning
DESPASITO: Determining Equilibrium State and Parametrization Application for SAFT, Intended for Thermodynamic Output
Program to calculate phase boundaries of multicomponent systems using Equations of State. WIP now suporting PT envelopes and PX envelopes with partial three-phase-behaviour
The purposes of the projects are to calculate and simulate the thermodynamic steam table temperatures by making use of VBA (Visual Basic Applications) and python scripts.
This is a simple example of how to run CoolProp Javascript wrapper with Units handled by mathjs
Repository for all of my work on modelling thermodynamic cycles using python and coolprop ; Hope this might be useful to someone! :-)
It takes a system's volume and temperature and then uses Lee Kesler Correlation values to relate pressure to temperature and volume while assuming ideal gas laws. This is an iterative process to find an approximate pressure.
HECSS is a Monte-Carlo, configuration space sampler using sample weighting algorithm for probability distribution sampling.
ChemBIP is a versatile and powerful tool designed to estimate binary interaction parameters essential for Vapor Liquid Equilibrium (VLE).
Thermodynamic cycle of engine processes