High-Performance Computing (HPC) in Physics involves the use of powerful computing systems to perform large-scale simulations and data-intensive calculations. HPC enables the study of complex physical systems with millions or billions of degrees of freedom. Applications include climate modeling, particle physics simulations, astrophysical modeling, and materials science. Parallel computing techniques distribute computations across multiple processors to reduce execution time. Efficient use of HPC requires understanding hardware architectures, memory hierarchies, and parallel algorithms. HPC allows physicists to tackle problems that were previously computationally infeasible. It also supports real-time data processing from large experimental facilities. High-performance computing is a cornerstone of modern computational physics and large-scale scientific discovery.
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