From 31st March to 4th April, we ran the Chemical and Materials Machine Learning School 2025 in collaboration with AIchemy, with support from STFC-SCD, PSDS, CCP5 and CCP9.
Least to say it was a wonderful and fruitful event! π
Congratulations to the winners of the CaMML Poster Presentation!
π₯ Simone Vari, Politecnico di Milano, Italy
π₯ Sophie Bennett, University of Southampton, UK
π₯ Gustavo Chaparro β Imperial College London, UK
πΈ Picture Credit: AIchemy
The aim of this training is to introduce attendees to the latest methods of machine learning for the atomistic simulation of materials. There will also be the opportunity for attendees to present a poster on their work. Get all the details here βΆοΈ https://www.psdi.ac.uk/event/cammls-2025/
This machine learning for materials training course is being run at Daresbury Laboratory by the Physical Sciences Data Infrastructure (PSDI) initiative in collaboration with AIChemy, STFC-SCD, PSDS, CCP5 and CCP9. This training is targeted towards PhD students, in particular those in the Materials and Molecular Simulations field. The aim of this training is to introduce attendees to the latest methods of machine learning applied to atomistic simulation of materials.
PSDI