To understand materials, computational materials science employs modelling, simulation, theory, and informatics. Discovering new materials, defining material behavior and mechanisms, explaining experiments, and investigating materials theories are some of the key objectives. As a growing topic of materials science, it is comparable to computational chemistry and computational biology. The computational approach is quickly gaining traction as the third viable method of probing materials. The development of new computational methodologies, high-performance computer hardware, and powerful software environments is also accelerating.
Title : The merging of artificial Intelligence and biomaterials: The future of personalized health solutions
Thomas J Webster, Interstellar Therapeutics, United States
Title : Analytical modeling occupies a special place in reliability physics predictive modeling in materials science and engineering
Ephraim Suhir, Portland State University, United States
Title : In vivo delivery of CRISPR Cas9 using lipid nanoparticles enables gene depletion to enhance immunotherapy in cancer
Yong Teng, Emory University, United States
Title : Combined moisture and stress effects on durability of composites
Vistasp M Karbhari, University of Texas Arlington, United States
Title : Supramolecular materials integrating molecular machines and motors: Structure probed using scattering techniques (small-angle neutron and X-ray)
Eric Buhler, The University of Paris, France
Title : Molten borates fuel cells — Mathematical modeling and identification of performances
Jaroslaw Milewski, Warsaw University of Technology, Poland