Machine-learning potentials and rare-event sampling to understand how nanocrystals nucleate and grow.
Very happy to announce that our project entitled “Crystallization of nanoalloys for electrocatalysis: Synthesis, characterization and simulation” has been selected by NanoX for funding within the call for disruptive research project. Special thanks to my partners in crime: Magali Benoit, Patrizio Benzo and Mathieu Prévot!
Yesterday, I had the chance to present my work in a TimeMan Virtual Seminar. The group was very welcoming and it fostered an interesting discussion. Please find the video of my presentation here.
After answering the call for proposals for usage of the Toulouse’s HPC center, CALMIP, we got awarded 1.1 million computing hours for 2 projects:
I am grateful to CALMIP’s scientific committee for supporting these new and exciting research projects.
Happy to welcome two students who will start their 5 months internship by February 2021: Owen Fresse–Colson and Thomas Da Rocha. The first one will work on some technical developpments for our Φ-LassoLars method and the second one will work on the Seeding method for binary crystallization. Special thanks to the Licence Physique Parcours SPÉCIAL of Université Paul Sabatier.
Our work on “Measuring transferability issues in machine-learning force fields” in collaboration with M. Benoit and J. Amodeo is now published in Machine Learning: Science and Technology. It’s the first paper where we detail our PLIP method to generate machine-learning interaction potentials. (See Link)
