FREN
courbe en fond

Non permanents



Descriptif des activités de recherche

PhD in machine learning applied to material discovery for IoT sensor batteries supervised by Prof. A. Franco (LRCS, Amiens), Prof. R. Palacin (ICMAB, Barcelona), Prof. C. Grey (University of Cambridge).

Parcours

Double degree MSc (Università degli Studi di Padova, Justus Liebig Universität Giessen; Prof. Durante, Prof. Janek)


Compétences

Material characterisation: XPS, XRD, SEM, EDS.
Electrochemistry: Cell galvanostatic cycling, PEIS, CV.
Inorganic materials synthesis: Solid state synthesis.
Organic synthesis: (On-surface) Synthesis of (cyclo)para-phenylenes.
Organic characterisation: NMR, FT-IR, GC, MS, UV-Vis.
Programming: Python applied to machine learning models.

Projets en cours

PhD funded by ALISTORE until November 2024.