Thermodynamics-informed Symbolic Regression - A Tool for the Thermodynamic Equation of State Development - v1.0.1-beta

This code base is based on the work of the project "Machine Learning and Optimal Experimental Design for Thermodynamic Property Modeling" in the DFG priority program SPP2331. It implements an adapted NSGA-II genetic algorithm for symbolic regression and is aimed at the development of thermodynamic equations of state. The project and the code are a work-in-progress and there are many more features planned. For more details on past and future uses, a paper accompanying this code is available at arxiv.

This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) within the Priority Programme SPP 2331: "Machine Learning in Chemical Engineering" - project no. 466528284 - HE 6077/14-1 and RI 2482/10-1