Dr. Arnaud Demortière (group leader)
Scientist at CNRS in 3D/4D imaging, computer vision and AI-DeepLearning
LRCS laboratory & RS2E network (Amiens,France)
My research topics focus on the development of new methods in 3D/4D imaging and in AI-DeepLearning to study the dynamical phenomena occuring inside Li-ion batteries and new generation of electrochemical storage systems
Image treatments using convolutional neural network, which are essential for statistical
approach of big data, is developed in the team to process 3D tomographic and dynamical dataset.
- Microscopy Platform Manager in RS2E network
- Leader of Image and diffraction team (I&D team) in LRCS lab
Email: arnaud.demortiere@cnrs.fr
Fayçal
Adrar
2023-2026 PhD Student
(RS2E)
Labs: LRCS & ICMCB
4DSTEM/STXM/DeepLearning
Florent
Magaud
2022-2025 PhD Student
(ANR DynamoBat PRC)
Lab: LRCS
DeepLearning Forecasting for electrochemical cycling
Ahmed
Yousfi
2022-2025 PhD Student
(Région Hauts-de-France/RS2E)
Lab: LRCS & Aachen Univ.
Phase field simulation for lithiation dynamics (LFP/LFMP)
Kevyn
Moncayo
2020-2023 PhD Student
(Destiny UE program)
Labs : LRCS
Effects of lithiation dynamics on degradation inside NMC811 battery cathode
Valentine Destarkeet
2021-2024 PhD Student
(Umicore)
Labs: LRCS & ICMCB
X-ray Tomography / Li-rich Cathode
Junhao Cao
2021-2024 PhD Student (NanoMegas/
ANR DestiNa-ion_Operando)
Lab: LRCS
Deep learning for 4DSTEM
Jiahui Xu
2020-2023 PhD Student
(ERC Artistic-A. Franco)
Lab: LRCS
Calendaring effect in cathode
(Simulation / X-ray Tomography)
Gozde Oney
2020-2023 PhD Student
(ANR DestiNa-ion_Operando)
Labs : ICMCB & LRCS
LMNO cathode (4DSTEM, Raman, synchrotron)
Nicolas Folastre
2019-2022 PhD Student
(ANR DestiNa-ion_Operando)
Labs: LRCS & ICMCB
4DTSEM/STXM (Na-ion Battery)
Ankush Bathia
2018-2022 PhD Student
(ANR Cassiopes-IEMN)
Labs: ICMPE & LRCS
LMNO micro-battery
Sorina Cretu
2018-2022 PhD Student
(Hauts-de-France/NTU)
Labs: LRCS & NTU
All-solid state battery
(X-ray Tomography / in situ TEM)
Zeliang Su
2017-2021 PhD Student
(Research minister)
Lab: LRCS
X-ray Tomography/ Deep learning (LiO2 battery)
Tuan-Tu Nguyen
2017-2021 PhD Student
(Renault)
Lab: LRCS
heterogeneity inside NMC electrode/X-ray Tomography
Rakesh Elango
2016-2020 PhD Student
(Research minister)
Lab: LRCS
Thick binder-free electrode
Lucile
Carlier
2021 Internship student
(LRCS)
Lab: LRCS
Hybid solid state battery
François Cadiou
2020-2021 Postdoc
(Hauts-de-France)
Lab: LRCS
X-ray Tomography / STXM
(Na-ion battery, NMC)
Kirill
Cherednichenko
2019-2020 Postdoc
(Hauts-de-France)
Lab: LRCS
4DSTEM-ASTAR (Na-ion battery)
Milan
Toledo
2020 Internship student
(ANR-DestiNa-ion_operando)
Lab: LRCS
Liquid electrochemical
in situ TEM (HardCarbon/NVPF-Na-ion battery)
Kai Zhang
2020 Internship student
(LRCS)
Lab: LRCS
IQA for XCT images using unsupervised approach
Kaoutar El Amiry
2019 Internship student
(LRCs)
Lab: LRCS
Image segmentation using CNN approach
Walid Dachraoui
2016-2018 Postdoc
(RS2E)
Lab: LRCS
liquid electrochemical
in situ TEM (LFP, NaO2)
Mattia
Giannini
2016-2018 Postdoc
(Alistore)
Lab: LRCS
TEM investigation
LiS battery
Hamza Bousalmat
2019 Internship
(LRCS)
Lab: LRCS
NaFe0.5Mn0.5O2
Manel Tebai
2018 internship student
(LRCS)
Lab: LRCS
LiFe0.5Mn0.5PO4 nanocrystals
Ronan
Le Ruyet
2016 internship student
(RS2E)
Lab: LRCS
TEM investigation SEI layer on negative electrode
Aoxiang Geng
2016 Internship student
(Alistore)
Lab: LRCS
Image and transport
property analysis
Jonathan Ando
2015 Internship student
(LRCS)
Lab: LRCS
FIB/SEM data processing