Dear colleagues,

Machine learning interatomic potentials are becoming a key part of the atomistic molecular and materials modelling toolbox. Their main advantages are increased accuracy compared to less flexible approximations and reduced computational cost when compared to first-principles techniques. 

If you are a young or early-career researcher in the field of atomistic modelling and you would like to learn about the theory, practice, and applications of this technique, then we encourage you to register for our upcoming workshop titled “Machine learning interatomic potentials: Young researchers’ tutorial” taking place from 15-19 November 2021, fully online.  You will have the chance to get a solid grounding in the field from fellow researchers who have been instrumental in developing both theory and software packages implementing the training, testing, and application of a machine learning potential.

The workshop is structured as a series of one-hour speaker sessions focusing on a single aspect or topic, each starting with a presentation on the theoretical background and moving on to a guided tutorial on using the technique in a practical atomistic modelling problem, with the chance for interactive Q&A with the speaker throughout each session. There will be a poster session and regular social events to maintain contact and facilitate networking throughout the workshop.

Registration is open until 15 September at http://www.mlip-workshop-2021.xyz ; applicants should provide a CV, a brief statement of motivation, and a brief letter of support from their mentor or supervisor.

We look forward to seeing you there!

Sincerely,

Max Veit
Elena Gelžinytė
Venkat Kapil
Cas van der Oord
Felix-Cosmin Mocanu
Federico Grasselli

(The Organizers)