Mathematical Modeling in Physical Sciences

14th IC-MSQUARE, October 20-23, 2025, Virtual
Erscheinungsjahr 2026
ISBN: 978-3-032-26808-2
Verlag: Springer Nature Switzerland AG

Buch, Englisch, 644 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Springer Proceedings in Mathematics & Statistics

This book gathers selected papers presented at the IC-MSQUARE 2025—14th International Conference on Mathematical Modeling in Physical Sciences held from October 20–23, 2025. This proceedings book offers a compilation of cutting-edge research, which aims to advance the knowledge and development of high-quality research in mathematical fields related to physics, chemistry, biology, medicine, economics, environmental sciences, and more. Special emphasis is placed on the impact of artificial intelligence techniques across these disciplines.
Annually held since 2012, the IC-MSQUARE conference serves as a platform for the exchange of ideas and discussions on the latest technological trends in these fields. This book is an invaluable resource for researchers, academicians, and professionals in these areas seeking to stay up-to-date with the latest developments in mathematical modeling.

Zielgruppe

Research

Autoren/Hrsg.

Vlachos, Dimitrios

Fachgebiete

• Geowissenschaften Umweltwissenschaften Umweltwissenschaften
• Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Inhaltsverzeichnis

Not available yet. Below is a list of topics to be covered:

- Astrophysics and astroparticles

- Atomic and molecular physics

- Biological physics

- Education and communication

- Environmental and earth science

- Fluid dynamics

- Gravitation and cosmology

- Ai techniques in physics research

TOC of the 2024 volume:
Part 1. Topics in Mathematics and Mathematical Physics.- Asymptotic Analysis and Stability of Scalar Fields in the Conformally Compactified Kerr Spacetime.- UV and IR divergence-free computation of the vertex function in the t channel.- Derivations and automorphisms of algebras satisfying an identity of degree six.- Fourier Series Solution using GeoGebra applets.- The Application of Quantum Computing in Addressing Neurodivergence.- Coupled Lattice Boltzmann Method for non-Newtonian White-Metzner-type fluids: the evolution of the elastic pressure.- Three-soliton solutions of a fourth order nonlinear wave equation.- Resonance Phenomena Caused by A Trapezoidal Breakwater.- A rate-induced tipping in the Pearson diffusion.- Derivations and representations of a class of algebras satisfying an Osborn identity.- Derivations of algebras satisfying a polynomial identity of degree five.- Application of pair correlation algorithms for some problems of nonlinear optics.- Second-order linear model of vortex street.- Instability for one partial class of three-dimensional dynamic equilibrium states for the Vlasov-Maxwell plasma.- A weighting approach of the bivariate regression.- Trace forms and representations of evolution algebras.- Structure of algebras satisfying an ?-polynomial identity of degree five.- Applications of convergence acceleration methods to asynchronous iterations.- Modeling the Atom Motion in the Field of a Crystal Lattice.- Analytical Solution to a Constrained Optimization Prob- lem with Boundary and Equality Constraints.- Part 2. Machine learning, Complex systems and Complex Networks.- Enhanced Quantum Annealing TSP Solver (EQATS): Advancements in Solving the Traveling Salesman Problem Using D-Wave’s Quantum Annealer.- Exploring the Correlation Between Attention Levels and Software Bugs: A Systematic Literature Review and Future Directions.- Nonlinear Modeling of Soil Indicators with Neural Neworks and Four Regression Factors.- Photonic Neural Networks: Integrating Optical Computing with Artificial Intelligence.- Restructurization of Region’s Cooperation Networks in the Conditions of Global Challenges.- Dynamic Labelling of Financial Data.- Part 3. Medical applications, COVID-19 and Virus Spreading Mathematical Modeling.- The Human Y-Chromosome DNA Haplogroup of the Norman Kings of England and their Families.- Algorithm for the formation of informative symptom complexes in the comprehensive study of medical issues.- Development of radiotomography algorithms for analyzing the electron concentration field in the ionosphere.- The Mesopotamian Origins of Certain Scottish Families and their Migration Routes from Mesopotamia to Scotland via Scandinavia and Normandy using DNA Analysis.- Cancer Research and Proposition of a Novel Classification of the UK Ethnic Groups Using the Human Y-Chromosome DNA Haplogroups.- Potential of Low-Dimensionalized Texture Features for Diagnostic Support of Cardiomyopathy Using Endomyocardial Biopsy Specimens.- Predicting the effectiveness of low-activity radioiodine ablation for patients with differentiated thyroid carcinoma using Technetium-99m (99mTc) - Pertechnetate scintigraphy.- Construction of high-order non-standard finite-difference-methods for epidemiological models.- Analyzing the Impact of the Parameter Values on the Qualitative Behaviour of the Solutions of a Modified SIR Model with Vaccination and Several Levels of Immunity.- Hybrid Method for Automatic Epilepsy Seizure Detection Using a Recurrent Neural Network.- Part 4. Engineering applications.- Possibilities for honey quality assessment based on hyperspectral imaging.- Nonlinear digital models for prediction of honey type using spectral characteristics.- An Overview of ESP32 Microcontroller Application in Embedded Systems, Robotics and Internet of Things.- Integrating Innovative Methods and Technologies for Improved Classes in Computer Architectures.- Accurate Estimates of Drayage Dwell Times.- Determination of residual life of a diesel assembly rail service car.- Energy Savings and Optimal Heat Recovery of Non- Steady State Processes through Innovative Heat Exchanger Network Design in Greenhouses.- Study of the properties and application of LIDAR technology for detection unmanned aerial vehicles (UAVs).

Über Autor(innen)

Dimitrios S. Vlachos received his Ph.D. from the School of Electrical and Computer Engineering at the National Technical University of Athens. He worked for two years as Postdoctoral Researcher at the Institute of Nuclear Engineering, National Center for Scientific Research “Demokritos,” and for eight years as Researcher at the Hellenic Center for Marine Research. From 2007 to 2013, he served as Assistant Professor in the Department of Computer Science and Technology at the University of the Peloponnese and from 2013 to 2020 as Associate Professor in the same department. Since 2022, he has been Professor in the Department of Economics at the University of the Peloponnese. His research focuses on discrete variational theory, complex networks, evolutionary algorithms, physical and socioeconomic modeling, and machine learning applications in algorithmic trading. Professor Vlachos is Author of more than 110 peer-reviewed articles published in scientific journals and conference proceedings.