Descriptif des activités de recherche
X-ray Tomography for Li-O2 battery, Image processing by Machine Learning, Operando Cell Development, Li-O2 battery modelingIn 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.
Parcours
Ingénieur en Chimie des Matériaux (Université Pierre et Marie Curie, Polytech Paris-UPMC, 2017)
Compétences
Computational Model for Predicting Particle Fracture During Electrode Calendering
Jiahui Xu, Brayan Paredes-Goyes, Zeliang Su, Mario Scheel, Timm Weitkamp, Arnaud Demortière, Alejandro A. Franco
Batteries & Supercaps, 2023
Self-supervised image quality assessment for X-ray tomographic images of Li-ion battery
Kai Zhang, Tuan-Tu Nguyen, Zeliang Su, Arnaud Demortière
npj computational materials, 2022
3D Operando Monitoring of Lithiation Spatial Composition in NMC Cathode Electrode by X-ray Nano-CT & XANES Techniques
T. T. Nguyen, J. Xu, Z. Su, V. De Andrade, B. Delobel, C. Delacourt, and A. Demortière
Microscopy and Microanalysis, 2022
Artificial neural network approach for multiphase segmentation of battery electrode nano-CT images
Zeliang Su, Etienne Decencière, Tuan-Tu Nguyen, Kaoutar El-Amiry, Vincent De Andrade, Alejandro A. Franco, Arnaud Demortière
npj computational materials, 2022
Towards a Local In situ X-ray Nano Computed Tomography under Realistic Cycling Conditions for Battery Research
Dr. Zeliang Su, Dr. Tuan-Tu Nguyen, Dr. Christophe Le Bourlot, Dr. François Cadiou, Dr. Arash Jamali, Dr. Vincent De Andrade, Prof. Alejandro A. Franco, Dr. Arnaud Demortière
Chemistry Methods, 2022
