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Nanothermodynamics: There's Plenty of Room on the Inside
Ralph V Chamberlin1, Stuart M Lindsay1,2
1Department of Physics, Arizona State University, Tempe, AZ 85287-1504, USA.
Nanothermodynamics explains material properties by modeling subsystems. This approach, using orthogonal dynamics, resolves fundamental paradoxes in thermodynamics and reveals insights into system behavior across various scales.
Area of Science:
- Statistical Mechanics
- Condensed Matter Physics
- Thermodynamics
Background:
- Nanothermodynamics offers a theoretical framework for understanding subsystems within larger systems.
- Existing models often struggle to accurately predict material properties, especially near phase transitions or in complex dynamic systems.
Purpose of the Study:
- To review and emphasize the utility of nanothermodynamics in improving agreement with measured material properties.
- To highlight how nanothermodynamic concepts, particularly orthogonal dynamics, explain complex phenomena like dielectric loss and noise spectra.
- To demonstrate nanothermodynamics' novel solutions to fundamental thermodynamic paradoxes (Gibbs', Loschmidt's) and its application to statistical models (Ising).
Main Methods:
- Review of theoretical models incorporating nanothermodynamic principles.
- Application of 'orthogonal dynamics' allowing separate time steps for energy and momentum conservation.
- Analysis of experimental data including ferromagnetic transitions, liquid-glass transitions, and noise in films/qubits.
Main Results:
- Improved agreement between theoretical models and measured properties of various materials.
- Explanation of non-classical critical scaling, complex thermal/dynamic behavior, and 1/f-like noise using nanothermodynamics.
- Resolution of Gibbs' paradox, stable equilibrium in finite Ising models, and insights into Loschmidt's paradox regarding the arrow of time.
Conclusions:
- Nanothermodynamics provides a robust theoretical foundation for diverse physical phenomena, from material properties to fundamental thermodynamic questions.
- Orthogonal dynamics is a key feature enabling the explanation of multi-response relaxation and noise crossovers.
- The framework offers new perspectives on entropy, equilibrium, and irreversibility, even in small N systems.
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