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).


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


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.

VOLTA: a tool for battery screening bridging the gap between virtual electrode materials and practical applications

Antonio Carnevali, M. Rosa Palacin, Clare P. Grey and Alejandro A. Franco

Energy Storage Materials, 2024

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