Multiscale Modeling addresses physical systems that involve phenomena occurring across multiple length and time scales. Many real-world systems cannot be accurately described using a single scale. Multiscale modeling integrates microscopic, mesoscopic, and macroscopic descriptions into a unified framework. In physics, it is applied to materials science, fluid dynamics, plasma physics, and biological systems. This approach links atomistic simulations with continuum models. Multiscale modeling enables efficient computation without sacrificing physical accuracy. It helps bridge fundamental physics and engineering applications. Challenges include coupling methods across scales and ensuring consistency. Multiscale modeling plays a crucial role in predicting material behavior, complex flows, and system-level performance. It is essential for modern computational science and physics-based engineering.
Title : Photoaligned azodye nanolayers: New trends for liquid crystal devices
Vladimir Chigrinov, Hong Kong University of Science and Technology, Hong Kong
Title : Using physics to eliminate implant infection in over 25000 patients to date
Thomas J Webster, Brown University, United States
Title : How the Rad Lab helped avert nuclear war
Thomas F Ramos, Lawrence Livermore National Laboratory, United States
Title : Anisotropic stiffness matrix of bed joint mesh-reinforced masonry: A numerical homogenization approach
Omar Mohammed Daud Shakarneh, Novosibirsk State University of Architecture and Civil Engineering, Russian Federation
Title : Global photochemical model CHARM-DE of the Earth’s atmosphere for altitudes 0-130 km
Alexei Krivolutsky, Central Aerological Observatory (CAO), Russian Federation
Title : Enhanced ferromagnetism in carbon dots polyaniline nanocomposite
Paulo Cesar De Morais, University of Brasilia, Brazil