Julien Lam

Tenured researcher at @CNRS
Run atomistic simulations to probe nucleation in nanoparticles using machine learning interactions and free energy sampling.

[Miguel Caro @m_a_caro]

I have funding for a PhD student to work on atomistic ML, method development & application to atomic-scale study of solid-liquid interfaces (esp. batteries). Now accepting informal enquiries by email. Senior researchers, please let me know if you know of suitable candidates.

[Stefan Bromley @stefan_bromley]

We extend our "crystalike" concept (i.e. when hydroxylation causes amorphous and crystalline nanosystems to behave alike) to titania nanoparticles with diameters up to 3.5 nm. #compchem #nanoparticles
@MRecioPoo @AngelMorales83 https://t.co/aSYvkm6PGv

[Julien Lam @julienlam_]

@jigyasa_nigam Thanks for the retweet ;)

[Julien Lam @julienlam_]

Happy to share this new paper published in Comp Phys Comm on Steinhardt Gaussian Mixture Analysis which enables us to identify crystal and defects in complex materials. Massive thank you to my collaborators at UMET @univ_lille
https://t.co/7UkvYywXdm

[Claudio Zeni @ICML @zany_cloud]

📢 Paper + code release 📃💻
After 2 years of work, I'm excited to announce our newest paper, MatterGen, has been published in Nature!
https://t.co/Mjd0DKX57y

[Julien Lam @julienlam_]

Come and join the team to work on some cool research linked to Atomic descriptors for MLIP. We have a 18-24 months postdoctoral position in partnership with Geneviève Dusson between Lille and Besançon. More info:

https://t.co/eQ26P7DxQd

[Julien Lam @julienlam_]

And the published version herein ;)

https://t.co/u3PMUgNndI

[Julien Lam @julienlam_]

Excited to share a paper recently accepted in @Nature_NPJ Comp. Mat. Massive thank to all the students and collaborators for the huge effort!
https://t.co/vcu4kA7H7u

[Simon Gravelle @GravelleSimon]

Ever wanted to use Python and recreate the first Monte Carlo simulations that were made on an IBM 701 in the 50s? That's just 1 of the goal of "Learn molecular simulations with Python". Here, the EoS of argon is computed and compared to experiments: https://t.co/YIHOTaI7bK

[Johannes Wasmer @JohannesWasmer]

Best of atomistic machine learning list, major update. 60 new projects added. Seven universal potentials enter the list, along with an equal share of new generative, active learning, and electronic structure models, datasets and community resources. https://t.co/MGckjnWvbm

[Julien Lam @julienlam_]

New paper! With Arthur France-Lannord, we combined different rare event sampling techniques to isolate nucleating structures in nanoparticle crystallization. We focused on metallic systems but the method can surely be transferred to more complex systems ;)
https://t.co/tHI1HZD2Sm

[Simon Gravelle @GravelleSimon]

Just got selected by the ANR for a simulations project on fluid transport in nanoporous polymers. I will soon be hiring a PhD student and a postdoc. @AgenceRecherche

[Osvanny @OsvannyRamos]

The Abstract submission for the 2024 edition of the Traffic and Granular Flow conference is open. We look forward to welcoming you in Lyon! https://t.co/TqwJNl3xYC
#TGF2024 Lyon, France, 02-05 Dec. 2024.

[Instit. for Mathematical & Statistical Innovation @IMSI_Institute]

Our first workshop of April, Machine Learning Force Fields, begins next week, 4/8, and is organized by Geneviève Dusson, Risi Kondor, Christoph Ortner, and Danny Perez: https://t.co/gLwCdvMgn7

[MME_group @UCL_MMEgroup]

We have a PhD opening within ht-MATTER - High-throughput modelling of Molecular crystals out-of-equilibrium - @uclchemeng!

If you are interested in molecular simulations, crystal nucleation, & statmech, get in touch!

RTs (RPs?) appreciated!

Details:
https://t.co/U1LuHH13Wz

[Pablo Piaggi @PiaggiPablo]

See below an excellent opportunity to work with me and other researchers at NanoGUNE in a vibrant and international environment in the beautiful city of Donostia-San Sebastián. Contact me if you are interested in applying. The topic will be ML applied to molecular simulation.

[Julien Lam @julienlam_]

Forgot to talk about this paper in collaboration with @_RossiKevin, @zany_cloud and G. D. Förster published in #CarbonTrends. We combined data-driven approaches with molecular dynamics simulations to observe the formation of carbon nanoparticles.
https://t.co/Z3TAdK5oNV

[The Journal of Chemical Physics @JChemPhys]

Ab initio molecular simulations suggest that previous pioneering experiments relating water's liquid-liquid transition to the shape of the melting lines of ice polymorphs may require reinterpretation. @PiaggiPablo @tgartner_3 @CcscCsi @PrincetonChem https://t.co/kI7f4e29OB

[Julien Lam @julienlam_]

@p88jana88 @nanoscale_rsc @CNRS Thanks Pritam!

[Julien Lam @julienlam_]

Delighted to announce the first paper of our PhD student Q. Gromoff published in @nanoscale_rsc. Experiments and simulations were coupled to study the formation of AuAg nanoparticles
https://t.co/TVXmYIW4WN