tsuboshun/LearnEntropy
This repository estimates the entropy production rate from trajectory data using machine learning. The method is based on the thermodynamic uncertainty relation.
This tool helps researchers in thermodynamics or statistical mechanics analyze how much energy is dissipated in a system. By inputting time-series trajectory data from physical experiments or simulations, you can estimate the entropy production rate and thermodynamic force. This is ideal for physicists or chemists studying non-equilibrium systems.
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Use this if you need to calculate the entropy production rate and thermodynamic force from collected trajectory data to understand energy dissipation.
Not ideal if you are not working with physical trajectory data or are not focused on thermodynamic properties like entropy production.
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Feb 19, 2021
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