The aim of the meeting is to bring together several groups who are trying to combat similar problems – how to bring the standards for scientific nomenclature and terminology into the digital age.
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.
A community discussion on opportunities and barriers in digital notetaking, this event will gather researchers, research support and technology developers together to share knowledge and experience around ERNs.