Current group members
Afaf Hrich
“Use pressure to stabilize new active pharmaceuticals ingredients”
Co-supervised with Mathieu Guerain and F. Affouard
Gilberto Alou
“Crystallization in iron oxide nanoparticles”
Johannes Sandberg
“Rationalizing machine-learning interaction potentials”
Roberto Tabacco
“Nucleation in dilute systems using rare-event sampling”
Lorena Chabeaud
“Structural dynamics of nanoparticles in hydrogen”
Co-supervised with Hazar Guesmi (ICGM)
Past students
Charles Ghazlane
“Polymorphism of copper oxide Cu2O using DFT calculations”
Caroline Traisnel
“Building a robust DFT database for ZnxCuyO”
Anfernee-Harry Triol
“Ice nucleation in nanoscale confinement through rare-event sampling”
Daniela De-Llano-Garcia
“Developing a gold-iron machine-learning interaction potential for nanoscale modelling”
Quentin Gromoff
“Nucleation processes in nanoparticles”
Now: Postdoc at CEA/DAM Ile-de-France
Co-supervised with Magali Benoit (CEMES)
Raghavendra Nomula
“From Vapor to Crystal Nucleation: A Study of the nucleation dynamics”
Now: PhD student at Norwegian University of Science and Technology
Gwendoline Bertorelli
“Influence of ligand molecules on the nanoparticle formation process”
Daniel Haslam
“Physical LassoLars Interaction Potential for Systems of Three Atomic Species”
Now: Data Scientist at The Hut Group
Gaetan Loubet dit Gajol
“Modeling interactions in gold-iron nanoparticles”
Valentino Sanguinetti
“Machine-learning the catalytic properties of nanoparticles”
Now: PhD student at ENS Département de Physique
Cesar Jara
“Silicidation process: Modelling nickel deposition and diffusion from silicide/silicon interfaces”
Now: Postdoc at Institute of Radioprotection and Nuclear Safety
Anthony Pecquenard
“Role of substrate structure on epitaxial nucleation and growth of nanoparticles”
Now: PhD at Université Claude Bernard
Jona Naergel
“Machine-learning the catalytic properties of nanoparticles”
Now: PhD student at University of Cambridge
Carlos Salazar
“Data-driven approach for crystal structure analysis”
Now: PhD at Linköping University
Vctoire Meko
“Machine-learning interactions in forsterite”
Now: PhD at Université de Franche-Comté
Akshay Ammothum Kandy
“Long-range interactions and on-the-fly training for machine-learning interaction potentials”
Now: Research Engineer at Sorbonne University
Jorge Fabila
“Modeling silicon carbides nanostructures using various machine-learning approaches”
Now: PhD at Universitat Pompeu Fabra
Co-supervised with Stefan Bromley (Barcelona University)
Alexis Raulin-Foissac
“Comparing Physical LassoLars Interaction Potential and Neural Network Potentials in the case of ZnO interactions”
Now: PhD at Université Claude Bernard
Owen Fresse–Colson
“Implementation of energy fitting in Φ-LassoLars”
Now: PhD at Université Bourgogne Europe
Aurélien Roux
“Implementation of explicit angular dependence in machine-learning potential”
Now: PhD at Toulouse University
Ibrahim Khaled
“Optimizing training data set for machine-learning potentials”
Now: Application Engineer at equensWorldline