University of Liverpool

Reinforcement Learning and Symbolic Transformer for Stability Certificates of Nonlinear Power Systems

Intern: Abhiram Bainkrodu Bhat
Degree course: Computer Science with a Year In Industry

Machine Learning–Enabled Techno-Economic Analysis of Flexible Nuclear Power for Enhanced Renewable Integration in the GB Power System

Intern: Luke Bennett
Degree course: Physics and mathematics

ChannelGate: A Gating Network to Route Ion-Channel Data towards Optimal Deep-Learning Models

Intern: Chengxu Jiang

AI-Guided Discovery of Large-Band-Gap Dielectric Materials for Next-Generation Power Grids

Intern: Shivansh Raj
Degree course: BSc Computational Science

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