Estimating entropy production with odd-parity state variables via machine learning

Estimating entropy production with odd-parity state variables via machine learning

Entropy production (EP) is a central measure in nonequilibrium thermodynamics, as it can quantify the irreversibility of a process as well as its energy dissipation in special cases. Using the time-reversal asymmetry in a system's path probability distribution, many methods have been developed...

Full description

Bibliographic Details
Main Authors: Jeong, H. (Author), Kim, D.-K (Author), Lee, S. (Author)
Format: Article
Language:English
Published: American Physical Society 2022
Subjects:
Energy dissipation
Entropy
Entropy production
Machine learning
Machine learning methods
Markov processes
Non equilibrium thermodynamics
Nonequilibrium system
Odd-parity
Path probability
Probability distributions
Probability: distributions
State-variables
Stochastic systems
Time-reversal
Trajectories datum
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items