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Published on: December 4, 2017
The Lucky Engine: Probabilistic Emergence and Persistence of Near-Maximum Dissipation States
1Space Exploration Sector, Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA.
A new paradigm for nonequilibrium systems resolves maximum entropy production (MaxEP) challenges by considering multiple transport modes. This framework explains system behavior under various constraints and non-steady forcing, enhancing our understanding of dissipation states.
Area of Science:
- Non-equilibrium thermodynamics
- Statistical mechanics
- Complex systems
Background:
- The principle of maximum entropy production (MaxEP) faces challenges in explaining real-world systems.
- Existing models struggle with physical constraints and system evolution dynamics.
Purpose of the Study:
- To resolve difficulties with the MaxEP notion using a new paradigm.
- To explain system behavior under physical constraints and non-steady forcing.
- To provide a framework for understanding dissipation states in complex systems.
Main Methods:
- Introducing a paradigm where nonequilibrium systems utilize multiple transport modes.
- Analyzing how physical constraints limit accessible system states.
- Investigating the probability of observing systems near maximum entropy production.
Main Results:
- Physical constraints define the available transport modes, preventing impossible states.
- Systems are more likely to be observed near maximum entropy production due to a higher number of accessible microstates.
- The paradigm accommodates non-steady forcing and explains transitions between maximum and minimum dissipation states.
Conclusions:
- A multi-mode transport paradigm successfully addresses MaxEP challenges.
- This framework offers a more robust understanding of nonequilibrium systems and their emergent properties.
- It clarifies conditions under which systems reach maximum dissipation states.
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