Physics-Based Modeling constructs mathematical and computational models grounded in fundamental physical laws. These models emphasize causality, conservation principles, and physical constraints. Physics-based modeling contrasts with purely data-driven approaches by prioritizing interpretability and predictive reliability. In physics, such models are used to describe mechanical systems, electromagnetic fields, thermal processes, and quantum systems. Physics-based models provide insight into system behavior under varied conditions. They are essential for extrapolation beyond observed data. These models form the foundation of simulation tools used in science and engineering. Combining physics-based modeling with numerical methods allows accurate and robust prediction. Physics-based modeling remains central to scientific understanding and technological development.
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