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New Challenges in Contemporary Statistical Physics

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Statistical Physics".

Deadline for manuscript submissions: 31 August 2024 | Viewed by 1018

Special Issue Editors


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1. Dipartimento di Scienza Applicata e Tecnologia, Politecnico di Torino, 10129 Torino, Italy
2. GISIS, Geoscience Institute, Fluminense Federal University, Niterói 24210-346, RJ, Brazil
Interests: geophysics; statistical physics; image processing; inverse problems; data analysis
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Dipartimento di Scienza Applicata e Tecnologia, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
Interests: entropy; statistical physics; foundation of statistical mechanics; complex systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Istituto dei Sistemi Complessi, Consiglio Nazionale delle Ricerche (ISC-CNR), c/o DISAT, Politecnico di Torino, Corso Duca degli Abruzzi 24, I-10129 Torino, Italy
Interests: nonextensive statistical mechanics; nonlinear Fokker–Planck equations; geometry information; nonlinear Schroedinger equation; quantum groups and quantum algebras; complex systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As we navigate the landscape of statistical physics, new questions emerge that inspire and drive technological and scientific progress. The growing interest in understanding collective emergence, nonlinear patterns, and critical and non-equilibrium phenomena in complex and disordered systems continues to pose a major challenge. Exploring the theoretical foundations of statistical physics, we face applying these principles to new domains such as molecular biology, nanotechnology, machine learning and information theory, data science, and social systems. A profound understanding of correlations, phase transitions, and thermodynamic properties in unconventional contexts is essential for advancing toward innovative solutions.

This Special Issue aims to gather excellent reviews and original research papers that deal with current problems in statistical physics. We encourage critical works that broadly address the mathematical aspects and theoretical underpinnings of classical, quantum, and relativistic statistical physics applied to the analysis of complex systems focused on, but not limited to, the following research areas:

  • Entropies and correlations in complex systems;
  • Generalized statistical mechanics;
  • Plasma physics;
  • Holographic and other cosmologically relevant entropies;
  • Quantum long-range systems;
  • Spin glass theory;
  • Renormalization groups;
  • Nonintegrable many-body systems;
  • Fluctuations in physics;
  • Role of machine learning in statistical physics;
  • Complex Networks;
  • Data science;
  • Climate environments;
  • Biophysical systems;
  • Econophysics.

Dr. Sergio Luiz E. F. Da Silva
Prof. Dr. Giorgio Kaniadakis
Dr. Antonio M. Scarfone
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • statistical physics
  • criticality
  • collective emergence
  • nonlinear dynamics
  • complex and disordered systems
  • information theory
  • thermodynamics

Published Papers (1 paper)

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Research

23 pages, 3863 KiB  
Article
Weighted Signed Networks Reveal Interactions between US Foreign Exchange Rates
by Leixin Yang, Haiying Wang, Changgui Gu and Huijie Yang
Entropy 2024, 26(2), 161; https://doi.org/10.3390/e26020161 - 12 Feb 2024
Viewed by 730
Abstract
Correlations between exchange rates are valuable for illuminating the dynamics of international trade and the financial dynamics of countries. This paper explores the changing interactions of the US foreign exchange market based on detrended cross-correlation analysis. First, we propose an objective way to [...] Read more.
Correlations between exchange rates are valuable for illuminating the dynamics of international trade and the financial dynamics of countries. This paper explores the changing interactions of the US foreign exchange market based on detrended cross-correlation analysis. First, we propose an objective way to choose a time scale parameter appropriate for comparing different samples by maximizing the summed magnitude of all DCCA coefficients. We then build weighted signed networks under this optimized time scale, which can clearly display the complex relationships between different exchange rates. Our study shows negative cross-correlations have become pyramidally rare in the past three decades. Both the number and strength of positive cross-correlations have grown, paralleling the increase in global interconnectivity. The balanced strong triads are identified subsequently after the network centrality analysis. Generally, while the strong development links revealed by foreign exchange have begun to spread to Asia since 2010, Europe is still the center of world finance, with the euro and Danish krone consistently maintaining the closest balanced development relationship. Finally, we propose a fluctuation propagation algorithm to investigate the propagation pattern of fluctuations in the inferred exchange rate networks. The results show that, over time, fluctuation propagation patterns have become simpler and more predictable. Full article
(This article belongs to the Special Issue New Challenges in Contemporary Statistical Physics)
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