- Julien Lam's homepage

40References

6Submitted

2014–2026Research period

2026

Predicting adsorption properties in nanoparticles with sparse linear regression

V. Sanguinetti, L. Chabeaud, J. Nagerl, M. Prévot, J. Lam

Submitted

Bonding adaptability and transformation plasticity in Ti--Al--Si--N alloys

C. R. Salazar, S. Ghosh, F. Tasnádi, L. J. S. Johnson, J. Lam, J. Furstoss, I. A. Abrikosov, D. G. Sangiovanni

Submitted

Melting mechanisms in core@shell nanoparticles: a molecular dynamics study

R. Tabacco, J. Furstoss, J. Lam

Submitted

Laser-Ablation Synthesis of Colloidal Metastable Nanoruby Stabilized by MEEAA Ligands

A. Chemin, G. Laurens, J. Lam, A. Corne, C. Martinet, C. Dujardin, G. Ledoux, K. Lebbou, F. Chaput, B. Gokce, S. Barcikowski, T. Albaret, D. Amans

Submitted

Benchmarking machine-learning interatomic potentials using classical force fields

J. Sandberg, G. Dusson, J. Lam

SubmittedarXiv

Deciphering borophene growth pathways with data-driven simulations

C. Bousige, J. Furstoss, J. Lam, P. Mignon

SubmittedarXiv

Hydrogen‑Directed Au--H--Au Chain Networks Redefine the Active Structure of Sub‑2 nm Gold Nanoparticles

L. Chabeaud, N. F. Barrera, J. Contreras-García, J. Lam, H. Guesmi

Nanoscale 18 14280 (2026)

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, 18, 12903 (2026)

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

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

Phys. Rev. Lett. 136, 017101 (2026)

2025

All-around local structure classification with supervised learning: The example of crystal phases and dislocations in complex oxides

J. Furstoss, C. R. Salazar, P. Carrez, P. Hirel, J. Lam

Comput. Phys. Commun 309 109480 (2025)

2024

Competing nucleation pathways in nanocrystal formation

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

npj Comp. Mat. 10, 199 (2024)

Harvesting nucleating structures in nanoparticle crystallization: The example of gold, silver and iron

A. France-Lanord, S. Menon, J. Lam

J. Chem. Phys. 161, 044108 (2024)

Elaboration of a neural-network interatomic potential for silica glass and melt

S. Trillot, J. Lam, S. Ispas, A. K. Ammothum Kandy, M. E. Tuckerman, N. Tarrat, M. Benoit

Comput. Mater. Sci. 236 112848 (2024)

Exploring the Formation of Gold/Silver Nanoalloys With Gas-Phase Synthesis and Machine-Learning Assisted Simulations

Q. Gromoff, P. Benzo, W. A. Saidi, C. M. Andolina, M-J Casanove, T. Hungria, S. Barre, M. Benoit, J. Lam

Nanoscale 16, 384 (2024)

2023

Modeling and characterization of the nucleation and growth of carbon nanostructures in physical synthesis

K. Rossi, G. D. Forster, C. Zeni, J. Lam

Carbon trends 11, 100268 (2023)

A comprehensive atomistic picture of the as-deposited Ni-Si interface before thermal silicidation process

C. Jara Donoso, A. Jay, J. Lam, J. Muller, G. Larrieu, G. Landa, C. Bongiorno, A. La Magna, A. Alberti, A. Hémeryck

Appl. Surf. Sci. 631 157563 (2023)

Comparing transferability in neural network approaches and linear models for machine-learning interaction potentials

A. K. Ammothum Kandy, K. Rossi, A. Raulin-Foissac, G. Laurens, J. Lam

Phys. Rev. B 107, 174106 (2023)

Critical comparison of general-purpose collective variables for crystal nucleation

J. Lam, Fabio Pietrucci

Phys. Rev. E 107, L012601 (2023)

2022

Non-classical nucleation of zinc oxide from a physically-motivated machine-learning approach

J. Goniakowski, S. Menon, G. Laurens, J. Lam

J. Phys. Chem. C 40, 17456 (2022)

Potentials based on linear models

G. Tallec, G. Laurens, O. Fresse-Colson, J. Lam

Quantum Chemistry in the Age of Machine Learning edited by Elsevier (2022)

2021

Strong and fast rising pressure waves emitted by plasmonic vapor nanobubbles

J. Lombard, J. Lam, F. Detcheverry, T. Biben, S. Merabia

Phys. Rev. Research 3, 023231 (2021)

Infrared spectra of neutral polycyclic aromatic hydrocarbons by machine learning

G. Laurens, M. Rabary, J. Lam, D. Pelaez, A-R Allouche

Theor. Chem. Acc. 140, 66 (2021)

Impurity-induced Nematic-Isotropic Transition of Liquid Crystals

P. K. Jana, J. Lam, R. Mangal, M. J Alava, N. Parveen, L. Laurson

Phys. Chem. Chem. Phys. 23, 8825 (2021)

Measuring transferability issues in machine-learning force fields: The example of Gold-Iron interactions with linearized potentials

M. Benoit, J. Amodeo, S. Combettes, A. Roux, I. Khaled, J. Lam

Mach. Learn.: Sci. Technol. 2 025003 (2021)

2020

Out of equilibrium polymorph selection in nanoparticle freezing

J. Amodeo, F. Pietrucci, J. Lam

J. Phys. Chem. Lett. 11, 8060 (2020)

How interface properties control the equilibrium shape of core-shell Fe-Au and Fe-Ag nanoparticles?

S. Combettes, J. Lam, P. Benzo, A. Ponchet, M-J. Casanove, F. Calvo, M. Benoit

Nanoscale 12, 18079 (2020)

Long-wavelength density fluctuations as nucleation precursors

J. F. Lutsko, J. Lam

Phys. Rev. E 101, 052122 (2020)

Combining quantum mechanics and machine-learning calculations for anharmonic corrections to vibrational frequencies

J. Lam, Saleh Abdul-Al, A-R Allouche

J. Chem. Theory Comput. 13,3 (2020)

Comparison of aluminum oxide empirical potentials from cluster to nanoparticle

G. Laurens, D. Amans, J. Lam, A-R Allouche

Phys. Rev. B 101, 045427 (2020)

2019

Alloy, Janus and core-shell nanoparticles: Numerical modeling of their nucleation and growth in physical synthesis [Selected as 2019 PCCP HOT Articles]

G. D. Förster, Magali Benoit, J. Lam

[Selected as 2019 PCCP HOT Articles

Doping nanoparticles using pulsed laser ablation in a liquid containing the doping agent

A. Chemin, J. Lam, G. Laurens, F. Trichard, V. Motto-Ros, G. Ledoux, V. Jarý, V. Laguta, M. Nikl, C. Dujardin, D. Amans\textbackslash

Nanoscale Adv. 1, 3963 (2019)

2018

Solvent-mediated interactions between nanostructures: from water to Lennard-Jones liquid

J. Lam, J. F. Lutsko

J. Chem. Phys. 149, 134703 (2018)

Classical density functional theory, unconstrained crystallization, and polymorphic behavior

J. F. Lutsko, J. Lam

Phys. Rev. E 98, 012604 (2018)

Lattice induced crystallization of nanodroplets: role of finite-size effects and substrate properties to control polymorphism

J. Lam, J. F. Lutsko

Nanoscale 10, 4921 (2018)

2017

Solute particle near a nanopore: influence of size and surface properties on the solvent-mediated forces

J. Lam, J. F. Lutsko

Nanoscale 9, 17099 (2017)

2016

Origin of the nano-carbon allotropes in pulsed laser ablation in liquids synthesis

D. Amans, M. Diouf, J. Lam, G. Ledoux, C. Dujardin

J. Colloid Interface Sci. 487, 114 (2016)

Dynamical study of bubble expansion following laser ablation in liquids

J. Lam, J. Lombard, C. Dujardin, G. Ledoux, S. Merabia, D. Amans

Appl. Phys. Lett. 108, 074104 (2016)

2015

Atomistic Mechanisms for the Nucleation of Aluminium Oxide Nanoparticles

J. Lam, D. Amans, C. Dujardin, G. Ledoux, A-R. Allouche

J. Phys. Chem. A 119, 8944-8949 (2015)

2014

Investigation of Local Thermodynamic Equilibrium in Laser-induced Plasmas: Measurements of Rotational and Excitation Temperatures at Long Time Scales

J. Lam, V. Motto-Ros, D. Misiak, C. Dujardin, G. Ledoux, D. Amans

Spectrochim. Acta Part B 101, 86-92 (2014)

γ-Al2O3 nanoparticles synthesized by pulsed laser ablation in liquids: A plasma analysis

J. Lam, D. Amans, F. Chaput, M. Diouf, G. Ledoux, N. Mary, K. Masenelli-Varlot, V. Motto-Ros, C. Dujardin

Phys. Chem. Chem. Phys. 16, 963-97 (2014)