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 : 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 : On the versatility of charged thermoplastic elastomers in the environment, energy and healthcare sectors
Richard J Spontak, North Carolina State University, United States
Title : Cellulose acetate-g-polycaprolactone copolymerization using diisocyanate intermediates and the effect of polymer chain length on surface, thermal and antibacterial properties
Benahmed Abdessamade, Mohammed First University, Morocco
Title : Mooney-Rivlin and Ogden numerical material models of ultra-soft tissue- equivalent alginate hydrogels
Pelin Berik Giwa, University of Central Florida, United States
Title : Harnessing the unique transport properties of InAs nanowires for single molecule level sensing
Harry Ruda, University of Toronto, Canada
Title : Experimental and theoretical investigation of 2-Methyl-6-Nitroanilinium Hydrogen Sulfate: Synthesis, structural, spectroscopic, and quantum chemical properties
Elmehdi Majdi, Hassan II University of Casablanca, Morocco