Machine Learnt Interatomic Potentials (MLIP) Tutorials
The field of machine learning (ML) interatomic potentials is a key technique in atomistic modelling and PSDI is assisting with the creation of infrastructure to capture, store and distribute these ML models. The work includes the generation of data and tools, including the aiida-mlip plugin, Janus-core tools, and the abcd database for MLIP training data. You can learn more about how to use these resources using:
What to do next
- Try our BioSim Workflows aiida-gromacs Tutorials
- Take a look at our self-paced learning
- Watch a Webinar from our list
- Find current and past in-person training opportunities Events
Related links:
- Galaxy Training
- Elixir TeSS: extensive training materials with a focus on computation in the life sciences, but many courses are also relevant for the physical sciences community.
About this page
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Creator: Cerys Willoughby
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Last modified date: 2025-03-28
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