Arnaud Demortière
Scholar

Arnaud Demortière

Google Scholar ID: Qv5aHZIAAAAJ
CNRS Research Director - LRCS lab & RS2E network - France
AI tool developmentBattery DegradationsGenerative AITime-seriesMultimodal Characterizations
Citations & Impact
All-time
Citations
4,128
 
H-index
30
 
i10-index
52
 
Publications
20
 
Co-authors
189
list available
Resume (English only)
Academic Achievements
  • Publications: Developed advanced Deep Learning and AI-based algorithms for analyzing cycle curves, diffraction patterns, and multispectral imagery. Projects: By examining these processes in real-time, aims to provide a precise and comprehensive view of phenomena affecting battery performance and longevity, leading to innovations in next-generation energy storage technologies.
Research Experience
  • Work Experience: Head of the Image & Data Science group at LRCS Lab/RS2E Network. Research Projects: Utilizes cutting-edge experimental methodologies and state-of-the-art characterization tools to explore battery systems across various temporal and spatial scales. Position: Research Director at CNRS.
Background
  • Research Interests: Chemistry, Physics, Data Science, and Artificial Intelligence. Professional Field: Degradation mechanisms of lithium-ion and sodium-ion batteries. Brief Introduction: Leads a multidisciplinary research team focused on uncovering the complex dynamic processes driving battery degradation.
Miscellany
  • Contact Information: Phone: 06 95 76 01 65, Email: Arnaud.demortiere@cnrs.fr. Address: 15 rue Baudelocque, 80000 Amiens, France, LRCS Lab & RS2E Network, Energy Hub.