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Experimental Methods for Investigation of Shape Memory Based Elastocaloric Cooling Processes and Model Validation
Published on: May 2, 2016
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Oslo model, hyperuniformity, and the quenched Edwards-Wilkinson model.
Peter Grassberger1, Deepak Dhar2, P K Mohanty3
1JSC, FZ Jülich, D-52425 Jülich, Germany.
Physical Review. E
|November 15, 2016
Summary
This study reveals precise critical exponents for the 1D Oslo rice pile model by leveraging its hyperuniformity to overcome finite-size effects in large-scale simulations.
Area of Science:
- Complex Systems
- Statistical Physics
- Computational Physics
Background:
- The 1D Oslo rice pile model is a fundamental sand-pile model.
- Previous simulations suffered from significant finite-size corrections, limiting accuracy.
- Understanding the model's stationary state and critical behavior is crucial.
Purpose of the Study:
- To accurately simulate the 1D Oslo rice pile model using its hyperuniform stationary state.
- To determine precise values for critical exponents, overcoming finite-size limitations.
- To explore the relationship between hyperuniformity and correlation length, and connections to other models.
Main Methods:
- Simulations of the 1D Oslo rice pile model with random critical height resetting.
- Leveraging the hyperuniformity of the stationary state for large system sizes (>10^7).
- Analysis of critical exponents (correlation length, fractal dimension, dynamical exponent) and roughness exponents.
Main Results:
- Precise rational values for critical exponents: ν=4/3, D=9/4, z=10/7.
- Established a relationship between the hyperuniformity exponent and the correlation length exponent ν.
- Found the local roughness exponent α_loc=1 in relation to the quenched Edwards-Wilkinson model.
Conclusions:
- The hyperuniformity of the 1D Oslo rice pile model enables highly accurate simulations.
- Critical exponents are consistent with simple rational numbers, providing a refined understanding.
- The study clarifies connections between sand-pile models, hyperuniformity, and surface growth models.
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