Bin-Cao/TCLRmodel
[JMI 2022] TCLR is a tree model for distinguish the mechanisms of data | document https://tclr.netlify.app/
This tool helps scientists and engineers understand the underlying mechanisms of physical processes like corrosion or creep. You provide experimental or simulation data, and it outputs explicit mathematical formulas that describe how variables like temperature, pressure, and time influence the process. Materials scientists, chemical engineers, and biochemists can use this to predict reaction rates and optimize material or chemical designs.
Use this if you need to discover clear, interpretable mathematical formulas from your experimental data to understand the kinetics or thermodynamics of a physical process.
Not ideal if you are looking for a general-purpose machine learning model without the need for an explicit, physically meaningful formula.
Stars
19
Forks
5
Language
Python
License
MIT
Category
Last pushed
Nov 08, 2025
Commits (30d)
0
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