Scientific Computing is an interdisciplinary field focused on developing computational methods to solve scientific and engineering problems. In physics, scientific computing enables simulation, data analysis, and visualization of complex systems. It integrates numerical analysis, applied mathematics, and computer science with physical modeling. Scientific computing supports large-scale simulations, optimization, and uncertainty quantification. It is essential for analyzing experimental data and testing theoretical models. Programming, algorithm efficiency, and numerical accuracy are central concerns. Scientific computing allows physicists to explore parameter spaces and predict system behavior under varying conditions. With increasing data volume and model complexity, scientific computing has become indispensable in modern physics research and education.
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