Julien Lam

Happy about this paper in collaboration with Kevin Rossi, Claudio Zenny and Daniel Förster published in CarbonTrends. We combined data-driven approaches with molecular dynamics simulations to observe the formation of carbon nanoparticles. (See LINK)

Excited to share this new paper in collaboration with Fabio Pietrucci from IMPMC. Huge thanks to Pablo Piaggi for early assisting me with the PLUMED setup (See link)

Very pleased to move back to the North in Lille working at the Unité Matériaux et Transformation. Gratefull to CNRS for allowing me to do this long-term mission in a new institute and location while keeping my permanent position.

Happy to officially welcome Quentin Gromoff in the group as the second PhD student. He will be using our PLIP model to construct new machine-learning interaction potential and will develop innovative structural analysis tools to investigate crystallization in nanoparticles.

Just like every beginning of school year, we have plenty of opportunities for research internships (L3, M1, M2) that may be pursued into PhD if lucky. Here is a non-exhaustive list of possibilities:

• Machine-learning approaches to model interatomic interactions in materials
• Observing crystal at birth from experiments to simulations
• Data-driven structure analysis at the atomic scale for nanostructures
• Controlling seeded crystallization by optical trapping

Verry happy that Simon Tricard from LPCNO has invited me to give a seminar. It was a pleasure discussing with him but also Lise-Marie Lacroix, Guillaume Viau and Katerina Soulantica. Looking forward to build further collaborations!