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 : Application of vanadium and tantalum single-site zeolite catalysts in heterogeneous catalysis
Stanislaw Dzwigaj, Sorbonne University, France
Title : Developing novel sensing platforms using nanostructures
Harry Ruda, University of Toronto, Canada
Title : Solid state UV cross-linking for advanced manufacturing
Huang WM, Nanyang Technological University, Singapore
Title : The effect of substitution of Mn by Pd on the structure and thermomagnetic properties of the Mn1−xPdxCoGe alloys (where x = 0.03, 0.05, 0.07 and 0.1)
Piotr Gebara, Czestochowa University of Technology, Poland
Title : Evaluation of mineral jelly as suitable waterproofing material for ammonium nitrate
Ramdas Sawleram Damse, HEMRL, India
Title : The role of tunable materials in next-gen reconfigurable antenna design
Nasimuddin, Institute for Infocomm Research, A-STAR, Singapore