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Vincent Fletcher, a PhD student from Cohort 4 of the HetSys CDT, was recently nominated for the Best Poster Award at the Materials Research Society Spring Meeting 2026.

At the conference, Vincent presented his research on automatic database generation for training Machine Learning Interatomic Potentials (MLIPs), contributing to ongoing advances in computational materials science and machine learning-driven atomistic simulation.

Fraser Birks, a PhD student within the HetSys CDT, recently visited the UK Parliament to compete in the Physics category of the prestigious STEM for BRITAIN poster competition.

Fraser was awarded the silver medal for his research poster exploring how machine learning can be applied within atomistic simulations, recognising the quality and impact of his work within computational and data-driven scientific research.

Thomas Rocke, a recent PhD graduate from Cohort 3 of the HetSys CDT and now a HetSys CDT alumni member, recently delivered a workshop on Universal Hyperactive Learning, a new tool designed to accelerate the development of training datasets for Machine Learning Interatomic Potential (MLIP) models.