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Related Concept Videos

The Entropy as a State Function01:14

The Entropy as a State Function

Consider an arbitrary process that moves between two specific states (A and B) in a cyclic manner. This process is reversible and broken down into smaller parts that each follow a Carnot cycle. A Carnot cycle has two isothermal (constant temperature) processes. During these processes, the ratio of the amount of heat transferred to their respective temperature remains constant. The other two processes in the Carnot cycle are also reversible but adiabatic, which means they occur without any heat...
Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
The relation  between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
Entropy and the Second Law of Thermodynamics01:26

Entropy and the Second Law of Thermodynamics

Consider an isolated system in which a hot object is placed in contact with a cold one. This is an irreversible process that eventually leads both objects to reach the same equilibrium temperature. It is crucial to note that the constituents of any substance exhibit increased disorder at higher temperatures. As a cold substance absorbs heat, its constituents become more disordered. The energy transfer from a hotter object to a cooler one increases the system's disorder or randomness. This...
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
Absolute Entropies and the Third Law of Thermodynamics01:23

Absolute Entropies and the Third Law of Thermodynamics

Ludwig Edward Boltzmann developed a definition for entropy, which stated that absolute entropy is proportional to the natural logarithm of the number of possible combinations of particles. Entropy stands alone among state functions as the only one whose absolute values can be determined.Consider a gas sample confined to a container. As the container expands, the energy levels of gas molecules become more closely spaced. This increases the number of available energy states, thereby increasing...
Third Law of Thermodynamics02:38

Third Law of Thermodynamics

A pure, perfectly crystalline solid possessing no kinetic energy (that is, at a temperature of absolute zero, 0 K) may be described by a single microstate, as its purity, perfect crystallinity,and complete lack of motion means there is but one possible location for each identical atom or molecule comprising the crystal (W = 1). According to the Boltzmann equation, the entropy of this system is zero.

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Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
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Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids

Published on: May 27, 2020

Entropy of the hard-core model.

A Winkler1, G Alsmeyer, O Rubner

  • 1Institut für Mathematische Statistik, Westfälische Wilhelms-Universität Münster, Germany.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 28, 2010
PubMed
Summary

We analyzed hard-core model entropy across dimensions, proposing a scaling relation for 2D and 3D systems. This relation was validated using numerical simulations, offering insights into finite size effects relevant for glass-forming systems.

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Last Updated: Jun 8, 2026

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Area of Science:

  • Statistical Mechanics
  • Condensed Matter Physics

Background:

  • The hard-core model is a fundamental system in statistical mechanics.
  • Understanding its entropy is crucial for various physical phenomena, including phase transitions and material properties.
  • Previous studies have focused on specific dimensions or approximations.

Purpose of the Study:

  • To analyze the entropy of the hard-core model considering dimension, system size, and particle density.
  • To propose a general scaling relation for the entropy in two and three dimensions.
  • To investigate the impact of finite size effects on hard-core model entropy.

Main Methods:

  • Analytical treatment inspired by the one-dimensional case and virial expansion.
  • Numerical simulations using a modified Widom's particle insertion method.
  • Comparison of theoretical scaling relations with numerical results.

Main Results:

  • A scaling relation for the entropy of the hard-core model in two and three dimensions was proposed.
  • Numerical results confirmed the proposed scaling relation.
  • Finite size effects were analyzed and discussed in relation to the findings.

Conclusions:

  • The proposed scaling relation provides a valuable tool for understanding hard-core model entropy in higher dimensions.
  • The study offers insights into the behavior of hard-core systems, with implications for atomic glass-forming systems.
  • Numerical validation strengthens the theoretical predictions and highlights the importance of finite size effects.