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Updated: Feb 24, 2026

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Published on: September 17, 2021
Collective modes in simple melts: Transition from soft spheres to the hard sphere limit
Sergey Khrapak1,2,3, Boris Klumov4,5,6,7, Lénaïc Couëdel4
1Aix Marseille University, CNRS, PIIM, Marseille, France. Sergey.Khrapak@univ-amu.fr.
This study investigates collective modes in particle systems with repulsive interactions. Theoretical models like the quasi-crystalline approximation (QCA) become inaccurate for hard-sphere-like systems, highlighting the need for new freezing indicators.
Area of Science:
- Condensed matter physics
- Statistical mechanics
- Computational physics
Background:
- Collective modes are crucial for understanding material properties.
- Inverse-power-law (IPL) interactions model systems from soft to hard spheres.
- Fluid-solid coexistence is a key phase transition in many materials.
Purpose of the Study:
- To investigate collective modes in classical particle systems with repulsive inverse-power-law (IPL) interactions.
- To evaluate the accuracy of the quasi-crystalline approximation (QCA) for these systems.
- To identify reliable indicators for freezing in dense particle systems.
Main Methods:
- Molecular dynamic (MD) simulations were used to study systems with IPL exponents (n) from 10 to 100.
- Longitudinal dispersion relations were calculated and compared between MD simulations and QCA.
- High-frequency elastic moduli and elastic velocities were analyzed.
Main Results:
- The quasi-crystalline approximation (QCA) shows significant inaccuracy for systems with high IPL exponents (n > 60).
- Conventional expressions for elastic moduli are not meaningful in the hard-sphere-like regime.
- The study discusses the relationship between QCA elastic velocities and adiabatic sound velocity from MD simulations.
Conclusions:
- The QCA model is limited in its applicability to systems with steep repulsive interactions.
- New freezing indicators are proposed for classical particle systems near the fluid-solid transition.
- Understanding collective dynamics is essential for predicting phase behavior in dense matter.
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