People

Cesar Jara, PhD student (2020-2023)
Topic: “Silicidation process: Modelling nickel deposition and
diffusion from silicide/silicon interfaces“

Anthony Pecquenard, Bachelor student (2023)
Topic: “Role of substrate structure on epitaxial nucleation and growth of nanoparticles“

Jona Naergel, Master student (2023)
Topic: “Machine-learning the catalytic properties of nanoparticles“

Carlos Salazar, Master student (2023)
Topic: “Data-driven approach for crystal structure analysis“

Vctoire Meko, Master student (2023)
Topic: “Machine-learning interactions in forsterite“

Akshay Ammothum Kandy, Postdoc (2021-2023)
Topic: “Long-range interactions and on-the-fly training for machine-learning interaction potentials“

Jorge Fabila, Master thesis (2021-2022) co-supervised with Stefan Bromley from Barcelona University
Topic: “Modeling silicon carbides nanostructures using various machine-learning approaches“

Alexis Raulin-Foissac, Bachelor student (2021)
Topic: “Comparing Physical LassoLars Interaction Potential and Neural Network Potentials in the case of ZnO interactions“

Owen Fresse–Colson, Bachelor student (2021)
Topic: “Implementation of energy fitting in Φ-LassoLars“

Aurélien Roux, Bachelor student (2019)
Topic: “Implementation of excplicit angular dependance in machine-learning potential”

Ibrahim Khaled, Master student (2019)
Topic: “Optimizing training data set for machine-learning potentials”

	Roberto Tabacco, Master student (202) Topic: “Nucleation in dillute systems using rare-event sampling“
	Valentino Sanguinetti, Master student (2024) Topic: “Machine-learning the catalytic properties of nanoparticles“
	Gaetan Loubet dit Gajol, Bachelor student (2023) Topic: “Modeling interactions in gold-iron nanoparticles“
	Lorena Chabeaud, PhD student (2023-) co-supervised with Hazar Guesmi from CEMES-CNRS Topic: “Structural dynamics of nanoparticles in hydrogen“
	Quentin Gromoff, PhD student (2022-) co-supervised with Magali Benoit from CEMES-CNRS Topic: “Nucleation processes in nanoparticles“