-
scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
-
specific parameters and advanced in-situ optical characterisation for real-time capture of the tree initiation, propagation and transition to breakdown. This project aims to provide a promising route as part
-
adopted due to their excellent dielectric strength, thermal stability, and resistance to corona discharge. The research will begin by investigating key ageing parameters—such as thermal ageing and
-
. Fe, S) on CNT purity and structure. Evaluate CNTs as conductive additives in standard Li-ion battery electrodes. Apply AI/machine learning to optimise experimental design and growth parameters
-
interference, while ensuring energy-efficient and scalable operation. This PhD project will focus on developing machine learning algorithms to enable robust channel estimation, intelligent user association
-
generate around 1.8 billion tonnes of greenhouse gas emissions annually, with an estimated 6.1 million tonnes entering oceans. This has driven growing demand for bioplastics as lower-emission, biodegradable