Materials Science and Engineering

Computational Materials Science and Modeling

Computational Materials Science and Modeling" will explore the cutting-edge field of virtual materials design and simulation. Attendees will delve into the power of computational techniques in understanding and predicting the properties, behavior, and interactions of materials at the atomic and molecular levels. This session will cover various computational methods, such as density functional theory (DFT), molecular dynamics (MD), and Monte Carlo simulations, and their applications in studying a wide range of materials, from metals and semiconductors to biomaterials and nanomaterials. Experts will present their research on materials informatics, machine learning, and data-driven approaches, highlighting how these methods expedite materials discovery and optimization. Moreover, discussions will revolve around the integration of experimental data and theoretical calculations to achieve a more comprehensive understanding of materials behavior. By fostering collaboration between computational scientists and experimentalists, this session aims to advance the field of materials science and accelerate materials design and discovery, opening new avenues for innovative technologies and applications.