PSDI

CCP5 is collaborating with the Physical Sciences Data Infrastructure (PSDI) on the creation of both technical and training resources.

The CAMML – Chemistry and Materials Machine Learning School 2025 training course is being run by the Physical Sciences Data Infrastructure (PSDI) initiative in collaboration with AIchemy, with support from STFC-SCD, PSDS, CCP5 and CCP9 as a follow up to the very popular 2023 Machine learning for Atomistic Modelling Autumn School.

Apr 1 at 11:01amWeb
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This training is targeted towards PhD students, in particular those in the Materials and Molecular Simulations field, who have experience of coding but are not highly experienced with machine learning. The aim of this training is to introduce attendees to the latest methods of machine learning for the atomistic simulation of materials.

Know more: https://www.psdi.ac.uk/community/collaborators/ccp5/

CCP5 - Physical Sciences Data Infrastructure

Physical Sciences Data Infrastructure