Open Calls for Papers
EPJ ST Special Issue: Frontier 24: New Perspectives on the Intersection of Elementary Particle and Astroparticle Physics and Dark Matter Physics
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- Published on 04 September 2024
Guest Editors: B. Ananthanarayan, Biplob Bhattacherjee, Sudhir K. Vempati
The fields of elementary particle physics and astroparticle physics and cosmology have increasingly enriched one another, with models from one field feeding into the others, and also offering constraints on models. Dark matter, dark energy continue to be some of the most important puzzles confronting these subjects especially at their intersections. These fields are growing rapidly and are of great interest also to young and mature researchers.
EPJ ST Special Issue: Collective Behaviors in Complex Biological Networks
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- Published on 20 August 2024
Guest Editors: Sajad Jafari, Fatemeh Parastesh, Tomasz Kapitaniak
Complex networks are prevalent across many disciplines. Network theory offers robust frameworks for modeling these systems. One important aspect is the collective dynamics within complex networks, which refers to the patterns or behaviors that emerge from interactions among individual nodes. This phenomenon can be observed in social, biological, and technological networks. Examples of such collective behaviors include cluster formation, pattern emergence, and node synchronization. Extensive research has focused on analyzing these behaviors in different networks. Beyond the emergence of collective patterns, the interactions' effects on node dynamics are crucial for various applications, such as evaluating system functions and managing or controlling these systems.
EPJ ST Special Issue: Space Manufacturing: Materials, Mechanics and Manufacturing
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- Published on 17 June 2024
Guest Editors: Aloke Kumar, Ranajay Ghosh, Seetha Raghavan
Space travel and habitation have taken a renewed vigour in the last few years, spurred by new scientific and commercial breakthroughs in launch vehicles, satellites, payload capabilities and superior ground testing research. Militaries and industries worldwide have joined and reinforced these trends for their missions with multiple new space agencies and mandates set up over the last few years. This has ignited an international race towards exploring all potential applications and uses of the extra-terrestrial environment, ranging from using the space environment for deploying powerful instrument platforms to entirely new concepts on extra-terrestrial production chains. An explosion of new scientific research has accompanied this ‘return to space’ movement. In particular, space manufacturing represents a convergence of various disciplines, including materials science, biology, biophysics, mechanics, and fabrication. It encompasses a spectrum of endeavours, from terrestrial manufacturing for the new space age to in-orbit assembly and manufacturing (ISAM) and manufacturing for sustainable space settlements. Realizing the potential of space manufacturing demands dedicated research efforts in the years to come. The scope of space manufacturing is vast and encompasses numerous possibilities. Space habitats, for instance, could be constructed using materials fabricated in space, tailored to withstand the rigours of cosmic radiation and microgravity.
EPJ ST Special Issue: Evolution of Fractals in Nonlinear Dynamical Systems
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- Published on 13 June 2024
Guest Editors: A. Gowrisankar, Santo Banerjee
Fractals and dynamical systems are a two-sided coin which attracts contemporary scientific attention via Chaos. Fractal structures appear candidly in dynamical systems, in particular associated with the phase space and time plots. Further, self-similarity serves as a bridging paradigm between fractal analysis and dynamical systems. On the one hand, self-similarity is an essential trait of fractal sets, along with complex geometric structure. On the other hand, it is associated with an array of symmetries in dynamical systems, for instance, scaling of space or time. As symmetry is a property of many physical laws that regulate the processes described by dynamical systems, it grabs high attention in engineering applications. In recent times, fractal-fractional calculus is getting remarkable attention among the fractal community as it effortlessly applied over the dynamical systems. Applying fractional derivative on the dynamical systems helps to study the memory effects and non-local behaviours of nonlinear systems, whereas the fractal-fractional operators greatly aid to uncover hidden fractal characteristics in the chaotic attractors. Additionally, it generalizes both integer-order and fractional order calculus under certain conditions. Fractal-fractional literature acknowledges a concrete study on scaling and self-similarity appearance in chaotic motions of physical processes besides non-local behaviours. This brief note stipulates exploring the physics behind different evolutionary processes, such as climate dynamics, epidemiology, hydrology, and economics, via the pertinent combination of fractal geometry and nonlinear dynamic models. By providing a powerful visual language for describing complex and chaotic systems, fractals can effectively help to gain a deeper understanding of the system’s underlying patterns and structures.
EPJ ST Special Issue: Nanofluids in Solar Energy Applications
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- Published on 30 May 2024
Guest Editors: Sivaraj R, Santo Banerjee
All the engineering and technological processes utilize energy from different sources, and energy utilization harms nature in several aspects. Most of the energy demands across the globe are fulfilled by fossil fuels such as petroleum, natural gas, coal, and Orimulsion. The availability of fossil fuels is continuously decreasing, and the consumption of fossil fuels is very harmful to the environment. The major intention of the current century is to utilize energy sources that are concerned with climate change and environmental sustainability. Several researchers and industry communities focus on effectively using renewable energies such as solar, wind, geothermal, hydropower, and ocean energies to fulfill the needs of the present without affecting the future. Solar collectors absorb the sunlight and transmit it to a receiver, which converts the solar energy into heat energy. Fluids are utilized to absorb and transfer the heat through solar collector pipes. The working fluid plays a vital role in the heat extraction mechanisms in the solar system. The efficiency of solar collectors can be improved by adopting the nanofluids since the thermal conductivity and specific heat capacity of nanofluids can be effectively enhanced by optimally selecting the nanoparticles and the base fluid. Further, the nanofluids express high absorption in the solar spectrum range and explore low emittance in the infrared spectrum range. However, utilizing the solar energy has many environmental limitations and economic complications. So, it is mandatory to impose certain changes in several technical processes along with technological upgrades to enhance the efficiency of solar collectors.
EPJ ST Special Issue: Multiphase microfluidics: Droplets, wetting dynamics and transport in complex media
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- Published on 08 May 2024
Guest Editors: Tomislav Maric, Mathis Fricke, Mohammad R. Hashemi and Pavel Ryzhakov
Multiphase flow phenomena have become an attractive research topic in recent decades due to their complexity and significance for many natural and industrial processes. Microfluidic multiphase flows are crucial for many engineering systems, such as Lab-On-a-Chip, inkjet printers, fuel cells, microreactors, oil-gas/water transport, and CO2 sequestration in porous media. In most cases, the liquid-gas system forms a contact line with solid surfaces. Tending towards its equilibrium configuration, the three-phase system displays dynamic behavior largely determined by its physicochemical properties. The multiphase flow, in particular, contact line dynamics in many of these microfluidic systems, still needs to be fully understood. New numerical and experimental methods that can accurately handle contact line dynamics in complex geometries are under active development.
EPJ ST Special Issue: Artificial Intelligence and Complex Networks meet Natural Sciences
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- Published on 07 May 2024
Guest Editors: Alexander Hramov, Dibakar Ghosh, Alexander Pisarchik, Alexey Pavlov, Drozdstoy Stoyanov, Alexey Zaikin, Semyon Kurkin, Miguel A.F. Sanjuán
Aims and scope: Artificial intelligence (AI) is an advanced computational tool used to analyze big data in both fundamental and applied sciences. It has become increasingly popular in complex network science due to its ability to identify hidden patterns and nonlinear relationships in large amounts of ambiguous and nonstationary data from interacting systems. Researchers and engineers are using machine learning and network theory approaches to gain new insights into the behavior of complex systems ranging from the brain to molecules, from the Universe to nano-scale systems as well as for various practical applications such as diagnostic and expert systems, mathematical simulation, prediction and intelligence systems, biomedicine, et al. AI and network approaches have a special role in solving forecasting and early warning problems (e.g., climate modeling, extreme events forecasting, infrastructure stability/resilience problems).
EPJ ST Special Issue: Additive Manufacturing for Particle Accelerators
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- Published on 01 March 2024
Guest Editor: Chuan Zhang
Particle accelerators are essential tools for basic research and also have a wide range of important applications for energy, environment, healthcare, materials, security, etc. However, manufacturing complexity and cost are often limiting factors in developing new-type particle accelerators and increasing their usage. Additive manufacturing, which is revolutionizing our way to design and build things, could provide one promising solution to the dilemma. When additive manufacturing meets particle accelerators, the difficulties of the traditional technologies in manufacturing very complex structures e.g. advanced water-cooling channels can be easily overcome so that not only the construction time and cost of particle accelerators will be reduced considerably but also novel designs for better accelerator performance can be enabled.
EPJ ST Special Issue: Applied Physics of Superconductors in High-Power Applications
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- Published on 23 February 2024
Guest Editors: Xiaoyuan Chen, Lin Fu, Boyang Shen, Junzhi Ye
Scope: A superconductor is characterized by its zero-resistance, Meissner effect and Josephson effect. Replacing conventional-conductor-based devices by superconductor-based counterparts can yield a more significant benefit for the high-power applications. The fundamental physical behaviours of superconductors encountering high electric current and high magnetic field are necessarily important for the stable and safe operating in high-power applications. Currently, various advanced superconducting technologies and applications have been widely explored in high-power engineering, mainly involving energy producer, carrier, converter, storer and protector in electrical power engineering, and signal sensor, collector, processor and controller in electronic engineering. These cutting-edge superconducting technologies and applications can work collaboratively, which makes energy/information generation, transmission, distribution, and supply chains more complex. A comprehensive understanding from fundamental physical behaviours of superconductors to advanced superconducting devices and systems will accelerate the transition from laboratory research to industrial applications in near future.
EPJ ST Special Issue: Advancing Biocomplexity in Multidisciplinary Research
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- Published on 14 February 2024
Guest Editors: Erika E. Rodriguez-Torres, Alejandra Rosales-Lagarde, Oralia Nolasco-Jáuregui
Recent breakthroughs in neurosciences, genetics, and related fields have ushered in an era of transformative research, urging the integration of cutting-edge technologies to unravel the intricacies of biocomplexity. This multidisciplinary approach is pivotal for achieving a comprehensive understanding of how physiological networks function and adapt. We invite researchers across various disciplines to contribute to this dynamic landscape, exploring new directions that align with the latest developments in biocomplexity, science and technology.
