Julien Lam

Permanent CNRS researcher · UMET, Université de Lille

Machine-learning potentials and rare-event sampling to understand how nanocrystals nucleate and grow.
NucleationCrystallizationML interaction potentialsFree-energy samplingNanoparticle synthesis

Selected publications All publications →

Growth driven phase transitions in zinc oxide nanoparticles through machine-learning assisted simulations

Q. Gromoff, M. Benoit, J. Goniakowski, C. R. Salazar, J. Lam

Nanoscale · 2026

Non-classical nucleation pathways in liquid condensation revealed by simulation and theory

Y. Wu, T. Philippe, A. Graini, J. Lam

Phys. Rev. Lett. · 2026

Competing nucleation pathways in nanocrystal formation

C. Salazar, A. K. Ammothum Kandy, J. Furstoss, Q. Gromoff, J. Goniakowski, J. Lam

npj Computational Materials · 2024

News All news →

Sep 4, 2020

5 years to get the Master, 3 years to get the PhD, 3 years as Postdoc, 2 years as FNRS Junior Researcher and now I finally obtained a permanent position at CNRS. I will be working at the CEMES in Toulouse starting by January 2021.

Sep 3, 2020

Our work on “Out-of-Equilibrium Polymorph Selection in Nanoparticle Freezing” in collaboration with F. Piettrucci and J. Amodeo is now published in Journal of Physical Chemistry Letters. It deals with a problem that I first encountered during my thesis and I can finaly study using MD and metadynamics. (See Link)

Julien Lam

Machine-learning potentials and rare-event sampling to understand how nanocrystals nucleate and grow.NucleationCrystallizationML interaction potentialsFree-energy samplingNanoparticle synthesis

Machine-learning potentials and rare-event sampling to understand how nanocrystals nucleate and grow.
NucleationCrystallizationML interaction potentialsFree-energy samplingNanoparticle synthesis