- Published on 03 October 2022
Editors: Dechang Li and Baohua Ji
Molecular and cellular mechanics is a fundamental field for understanding the physiology and pathology of biological systems at nano- and microscale. It is widely recognized that cell behaviors highly depend on its microenvironment, including extracellular matrix and neighboring cells. One can regulate cell behaviors such as migration, differentiation, proliferation and immunity, etc., through modulating the cell-cell and cell-matrix interactions. A quantitative study of the biophysical mechanisms underlying the cellular behaviors will contribute to the understanding of the pathogenesis and development of diseases, such as tumors, cardiovascular disease, neurodegenerative disease, etc.
- Published on 22 August 2022
Editors: Roberta Citro and Morten Hjorth-Jensen
This special topic will cover different aspects of machine learning for the description of quantum many-body physics systems from both solid state, statistical mechanics and computer science. Machine learning will be discussed as a complementary method to current computational techniques for many-body systems, including Monte Carlo and tensor networks, as well as methods to analyze "big data" generated in experiments.
- Published on 30 June 2022
The analysis and reconstruction of real world data is a fundamental and important metric in decision-making. Most of the real data exhibits irregularity or complex features when they are plotted graphically. The concepts of fractal geometry are introduced to offer new visual conceptions for real-world objects with roughness, that cannot be perceived using Euclidean geometry. In recent years, there has been a surge of interest in the field of fractal analysis, as it provides more sophisticated and flexible approaches in the areas of data analysis and approximation, such as estimating fractal dimension, multifractal analysis and methods of fractal interpolation.
Fractal geometry offers a finest tool namely, Fractal Dimension (FD) for describing any time series with fractal nature and it is often used a measure of data complexity. It has also been used to investigate the future dynamics of several types of times series signals as a predictability indicator. Fractal Interpolation Functions (FIFs) are a class of functions introduced in relation to the theory of classical interpolation and approximation to approximate the irregular behaviour of natural phenomena in a way analogous to classical interpolation functions. The modest purpose of fractal functions is to aid in the reconstruction of fragmented data or in the appropriate construction of missing data in a low data rate sampling situations.
The purpose of this special issue is to collect articles which propose robust fractal theories to address and analyse the complexity of real data under the topic “Framework of Fractals in Data Analysis: Theory and Interpretation”.
EPJ ST Special Issue: Structural Transformations and Non-Equilibrium Phenomena in Multicomponent Disordered Systems
- Published on 20 April 2022
Scope: The issue is devoted to theoretical, computational, and experimental studies of phase and structural transitions and non-equilibrium phenomena (phase transformations; heat generation, rheology; relaxation phenomena) in disordered systems (composite and metastable materials, biological tissues and systems; polymer and other soft materials; amorphous and glass-forming systems; multicomponent melts). Special attention is focused on a detailed microscopical study of various phenomena in these studied systems. The proposed works will cover the following research fields and problems.
- Published on 28 January 2022
Guest Editors: Konstantinos Anagnostopoulos, Peter Schupp and George Zoupanos
Noncommutative geometry has opened exciting new avenues in mathematics and physics. It has brought together mathematicians and physicists in fruitful interdisciplinary interaction. This volume brings together some of the world's leading experts in the field to address various aspects of noncommutative geometry, focusing on applications to the Standard Model and beyond, quantum gravity, superstring theory, condensed matter physics, and other fields of physics. The range of methods used includes noncommutative differential geometry, deformation quantization, star products, fuzzy spaces, matrix models, and more recent developments like generalized geometry. The articles included are concise but comprehensive reviews that introduce the reader to these subjects while also presenting the current state of the art.
- Published on 29 July 2021
Submissions are invited for a special issue of EPJ ST on ‘Physics of Animal Navigation’.
Animal navigation constitutes a fascinating topic of research where scientists have been attempting to answer some key and basic questions explaining the mechanisms behind it. Most of the scientific explanations of numerous animals for their orientation and navigation derive from physics ideas. We have the magnetoreception on animals, especially birds, and the effects of geomagnetism. Other mechanisms involve infrasounds, ultrasounds and echolocation like in bats. Light and visual systems are extremely important for insect vision and bird navigation. Another important issue is celestial navigation, by which certain birds and insect find their orientation by using the sun compass by detecting the polarized light pattern of the sky. Furthermore, other mechanisms derived from quantum physics such as quantum entanglement in the cryptochrome hypothesis appear to have some relevance. Turbulent flows in the atmosphere and the oceans have also a role. Thermal boundaries in thermodynamics, as well as energetic and efficient movements or infrared radiation. And even effects due to gravitational variations.
The main aim of this Special Issue on Physics of Animal Navigation is to explore this fascinating interdisciplinary field of research bringing together scientists from different disciplines and giving a general overview of the state of the art of the role that Physics plays in Animal Navigation.