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Characterization of Thermal Transport in One-dimensional Solid Materials
Published on: January 26, 2014
Compressibility divergence and the finite temperature Mott transition
G Kotliar1, Sahana Murthy, M J Rozenberg
1Serin Physics Laboratory, Rutgers University, 136 Frelinghuysen Road, Piscataway, New Jersey 08854, USA.
Physical Review Letters
|July 30, 2002
Summary
We investigated compressibility near the Mott transition using dynamical mean-field theory (DMFT) and quantum Monte Carlo simulations. Our findings reveal a divergence, offering insights into materials like cerium.
Area of Science:
- Condensed Matter Physics
- Strongly Correlated Electron Systems
Background:
- The Mott transition is a fundamental phenomenon in condensed matter physics, separating metallic and insulating states in materials.
- Understanding the behavior of electron systems near this transition is crucial for predicting material properties.
- Dynamical mean-field theory (DMFT) is a powerful tool for studying strongly correlated systems.
Purpose of the Study:
- To investigate the behavior of compressibility near the density-driven Mott transition at finite temperatures.
- To explore the applicability of DMFT and quantum Monte Carlo simulations to the Hubbard model.
- To connect these findings to experimental observations, such as the alpha-gamma phase transition in cerium.
Main Methods:
- Application of dynamical mean-field theory (DMFT) to the one-band and two-band Hubbard models.
- Utilizing quantum Monte Carlo (QMC) simulations to corroborate DMFT results.
- Analysis within the framework of Landau theory to interpret the observed phenomena.
Main Results:
- Demonstrated a divergence in compressibility near the Mott transition.
- Confirmed this divergence using both DMFT and QMC simulations across different Hubbard models.
- Established a theoretical link between the Mott transition and the alpha-gamma endpoint in cerium.
Conclusions:
- Compressibility divergence is a key characteristic of the Mott transition at finite temperatures.
- DMFT and QMC provide consistent and reliable predictions for strongly correlated systems.
- The study offers a theoretical framework for understanding phase transitions in materials like cerium.
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