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 : Exploring graphene oxide nanocomposites in cancer therapy
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
Title : Probabilistic design for reliability of electronic and photonic materials, devices, packages and systems, and the role of analytical ("mathematical") modelling
Ephraim Suhir, Portland State University, United States
Title : Smart graphene oxide-based composite materials for selective adsorption
Alain Ponton, Université Paris Diderot, France