Vapor-compression refrigeration cycles analysis tool
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Updated
Aug 17, 2026 - C#
Vapor-compression refrigeration cycles analysis tool
Official PyTorch implementation of "Learning Entropy Production via Neural Networks" (PRL 2020).
This repository estimates the entropy production rate from trajectory data using machine learning. The method is based on the thermodynamic uncertainty relation.
智能源于耗散结构优化自身不确定性的自指耗散 "Intelligence arises from dissipative structures optimizing their own uncertainty through self-referential dissipation."
Code and data for: Entropy production does not select attractors -- closed-form counter-examples, a thermodynamic gauge freedom, and the prefactor that does decide
Pure ASM entropy from Intel silicon. No middleman.
Official PyTorch implementation of "Estimating entropy production in a stochastic system with odd-parity variables".
The Origin of Life
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