courbe en fond

Non permanents

Descriptif des activités de recherche

X-ray Tomography for Li-O2 battery, Image processing by Machine Learning, Operando Cell Development, Li-O2 battery modeling
In the frame of relating the theory and the experiment for the Li-O2 battery, we are actively developing tomography for investigating Li-O2 battery mechanism and performance. Upscaling of 3D model is also being done to match the scale of X-ray tomography techniques.


Ingénieur en Chimie des Matériaux (Université Pierre et Marie Curie, Polytech Paris-UPMC, 2017)


Eletrochemistry, X-ray Tomography

Probing and Interpreting the Porosity and Tortuosity Evolution of Li-O2 Cathodes on Discharge through a Combined Experimental and Theoretical Approach

Amangeldi Torayev, Simon Engelke, Zeliang Su, Lauren E. Marbella, Vincent De Andrade, Arnaud Demortière, Pieter C. M. M. Magusin, Céline Merlet, Alejandro A. Franco, Clare P. Grey

The Journal of Physical Chemistry C, 2021

3D Quantification of Microstructural Properties of LiNi0.5Mn0.3Co0.2O2 High‐Energy Density Electrodes by X‐Ray Holographic Nano‐Tomography

Tuan‐Tu Nguyen, Julie Villanova, Zeliang Su, Rémi Tucoulou, Benoît Fleutot, Bruno Delobel, Charles Delacourt, Arnaud Demortière

Advanced Energy Materials, 2021

X-ray Nanocomputed Tomography in Zernike Phase Contrast for Studying 3D Morphology of Li–O2 Battery Electrode

Zeliang Su, Vincent De Andrade, Sorina Cretu, Yinghui Yin, Michael J. Wojcik, Alejandro A. Franco, and Arnaud Demortière

ACS Applied Energy Materials, 2020

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