TMS2023

My slides are available here.

This year I attended the TMS Annual Meeting & Exhibition in San Diego with one of my colleges from the university of Cambridge.

I presented my work on the development of off-lattice kinetic Monte Carlo methods for simulating the interaction of hydrogen with crystal defects at the Symposium of Thermodynamics and Kinetics. The presentation was very successful and lead to deep discussions with experts in the field, including Laurent Karim Béland, one of the authors of the k-ART program.

I also attended a number of talks on the subject of hydrogen embrittlement and the use of machine learning (ML) in materials science. I was particularly impressed by the work of Matthias Rupp on ultra-fast interpretable machine-learning potentials. This is a field I am very interested in and I hope to apply some of these techniques to my own work in the future. I believe that ML will be a key tool in the future of materials science and that some of the techniques developed by the materials community will feed-back into the wider ML community.