Recent Advances in Dynamic Phenomena—3rd Edition

A special issue of Dynamics (ISSN 2673-8716).

Deadline for manuscript submissions: 31 December 2025 | Viewed by 797

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Special Issue Information

Dear Colleagues,

Dynamic phenomena are at the heart of the natural and engineered world, governing the behavior of systems across scales—from the microscopic interactions within cells to the vast, complex motions of planetary atmospheres. These phenomena, characterized by their intricate and often nonlinear behaviors, are driven by a delicate balance of forces, energy exchanges, and system-specific properties. Their study not only deepens our understanding of the fundamental principles of nature but also paves the way for groundbreaking innovations in science and technology.

The third edition of this Special Issue, “Recent Advances in Dynamic Phenomena”, seeks to highlight the latest developments in this vibrant and interdisciplinary field. Building on the results of previous editions, this issue aims to showcase cutting-edge research that explores dynamic processes in diverse systems, including physical, chemical, biological, mechanical, and electronic domains. From the dynamics of cellular mechanisms and fluid flows to the behavior of complex mechanical and electronic systems, this edition will provide a platform for sharing novel insights, methodologies, and applications.

https://www.mdpi.com/journal/dynamics/special_issues/5DRE5W7TKE

https://www.mdpi.com/journal/dynamics/special_issues/DR20H05327

Dr. Christos Volos
Guest Editor

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Keywords

  • aerodynamics
  • biological systems and networks
  • cell dynamics
  • climate dynamics
  • dynamic cycles of birds and animals
  • dynamics in mechanics
  • fluid dynamics
  • gas dynamics
  • nonlinear dynamics and chaos
  • nuclear dynamics
  • quantum mechanics and electrodynamics
  • terrestrial dynamics

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Published Papers (1 paper)

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Research

11 pages, 1712 KB  
Article
The Fluctuation Theorem and Its Practical Limitations: A Numerical Example
by Fernando C. Pérez-Cárdenas
Dynamics 2025, 5(3), 38; https://doi.org/10.3390/dynamics5030038 - 8 Sep 2025
Viewed by 433
Abstract
The Fluctuation Theorem establishes a relationship between microscopic reversibility and macroscopic irreversible phenomena, such as dissipation. In this short paper, we present an elementary derivation of this theorem within the framework of stochastic thermodynamics. Beginning with a brief examination of the time-reversible laws [...] Read more.
The Fluctuation Theorem establishes a relationship between microscopic reversibility and macroscopic irreversible phenomena, such as dissipation. In this short paper, we present an elementary derivation of this theorem within the framework of stochastic thermodynamics. Beginning with a brief examination of the time-reversible laws of motion that rule at the microscopic level, we discuss how through coarse-graining we arrive at the principle of detailed balance. This principle, which was originally proved for equilibrium processes, is extended to out-of-equilibrium situations in order to arrive at the Fluctuation Theorem. Though this extension is theoretically sound, one of the main purposes of this paper is to show that the origin of the practical limitations encountered, when applying this theorem to processes lasting longer than a certain duration, can be explained by the paucity of unlikely events that arise in out-of-equilibrium processes. The numerical results from the one-dimensional, one-particle stochastic model that is introduced here agree very well with the Fluctuation Theorem and, at the same time, bring to light the limits of its applicability in relation to the number of simulations or experiments and the duration of the process under study. Full article
(This article belongs to the Special Issue Recent Advances in Dynamic Phenomena—3rd Edition)
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