Computational Modelling of Nanomaterials – Training Services

Computational Modelling of Nanomaterials – Training Services provides in-depth knowledge of theoretical and computational approaches used to study and predict the properties of nanomaterials. The training covers molecular dynamics, density functional theory (DFT), Monte Carlo simulations, and multiscale modeling techniques to analyze structural, electronic, and mechanical behavior of nanomaterials. Participants will explore how computational tools are applied to design nanostructures, optimize synthesis conditions, and predict performance in real-world applications such as energy storage, drug delivery, and catalysis. Case studies and hands-on simulations will reinforce practical skills in applying these methods. By completing this course, learners will be equipped to leverage computational models in advancing nanotechnology research and applications.