Marc Duquesnoy
Centre National de la Recherche Scientifique(FR)Centre National de la Recherche Scientifique(FR)Réseau sur le Stockage Electrochimique de l'énergie(FR)Energy Storage Systems (United States)(US)Laboratoire de Réactivité et Chimie des Solides(FR)Université de Picardie Jules Verne(FR)
Publications by Year
Research Areas
Advanced Battery Technologies Research, Advancements in Battery Materials, Advanced Battery Materials and Technologies, Machine Learning in Materials Science, Electron and X-Ray Spectroscopy Techniques
Most-Cited Works
- → Artificial Intelligence Applied to Battery Research: Hype or Reality?(2021)438 cited
- → Data-driven assessment of electrode calendering process by combining experimental results, in silico mesostructures generation and machine learning(2020)120 cited
- → Fabrication of High-Quality Thin Solid-State Electrolyte Films Assisted by Machine Learning(2021)110 cited
- → Machine learning-assisted multi-objective optimization of battery manufacturing from synthetic data generated by physics-based simulations(2022)100 cited
- → Accelerated Optimization Methods for Force‐Field Parametrization in Battery Electrode Manufacturing Modeling(2020)73 cited
- → Data Specifications for Battery Manufacturing Digitalization: Current Status, Challenges, and Opportunities(2022)60 cited