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Updated: Jun 27, 2025

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
Published on: December 4, 2017
Quantitative predictive theories through integrating quantum, statistical, equilibrium, and nonequilibrium
1Department of Materials Science and Engineering, The Pennsylvania State University, University Park, PA 16802, United States of America.
A new zentropy theory integrates quantum mechanics and statistical mechanics to accurately predict system properties. This approach also extends to nonequilibrium systems, offering quantitative predictions across all scales.
Area of Science:
- Thermodynamics
- Quantum Mechanics
- Statistical Mechanics
Background:
- Current thermodynamics relies on separate theories for equilibrium (Gibbs) and nonequilibrium (Onsager) systems.
- Density functional theory (DFT) quantifies quantum mechanics but remains separate from thermodynamics.
- Existing models lack quantitative agreement with experimental observations due to their isolated nature.
Purpose of the Study:
- To develop a unified theoretical framework for predicting thermodynamic properties of complex systems.
- To bridge the gap between quantum mechanics, statistical mechanics, and nonequilibrium thermodynamics.
- To provide quantitative predictive theories across electronic to observable scales.
Main Methods:
- Development of a multiscale entropy approach, termed zentropy theory.
- Integration of Density Functional Theory (DFT) with Gibbs statistical mechanics.
- Incorporation of Hillert's combined law for nonequilibrium systems to develop the theory of cross phenomena.
Main Results:
- Zentropy theory accurately predicts entropy and free energy for complex systems.
- The theory of cross phenomena extends beyond the Onsager Theorem for nonequilibrium systems.
- A unified framework provides quantitative predictions from electronic to macroscopic scales.
Conclusions:
- The integrated zentropy theory and theory of cross phenomena offer a comprehensive approach to thermodynamics.
- This unified theory addresses limitations of separate models, improving predictive accuracy.
- The work provides a foundation for quantitative predictions in diverse scientific domains.
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