Materials Modeling uses theoretical and computational techniques to predict and analyze the behavior of materials at different length and time scales. It links atomic-scale interactions with macroscopic material properties. Materials modeling plays a vital role in understanding mechanical strength, electronic behavior, thermal transport, and chemical stability. Techniques include atomistic simulations, continuum models, and multiscale approaches. This field supports the design of advanced materials for energy, electronics, and structural applications. Materials modeling reduces the need for costly experiments by enabling virtual testing. It also accelerates materials discovery by guiding experimental efforts. By integrating physics-based models with computation, materials modeling bridges fundamental science 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