Computational Materials Science is an interdisciplinary field that uses computer simulations and models to understand and predict the properties and behavior of materials. By leveraging techniques like density functional theory, molecular dynamics, and Monte Carlo simulations, researchers can explore atomic-level structures and interactions. This enables the design of novel materials with tailored properties for specific applications, such as lightweight alloys, energy-efficient semiconductors, or advanced polymers. Computational tools also help in optimizing manufacturing processes and reducing the need for costly and time-consuming experimental trials. As the demand for sustainable and high-performance materials grows, computational materials science plays a pivotal role in accelerating innovation and bridging the gap between theoretical predictions and practical material development.
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 : Optimizing thermodynamic properties and stability in AB2 type hydrogen storage alloys: A study on Ti-Cr-Mn-Fe compositions
Wajid Ali Shah, Hiroshima University, Japan
Title : Harnessing the unique transport properties of InAs nanowires for single molecule level sensing
Harry Ruda, University of Toronto, Canada
Title : Application of metal single-site zeolite catalysts in heterogeneous catalysis
Stanislaw Dzwigaj, Sorbonne University, France
Title : Evaluation of scratch resistance of Polyether Ether Ketone (PEEK) nanocomposite coatings reinforced with Ceria – effect of composition and UV-exposure
Amal Ameen Seenath, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia