5 papers
AI-Driven Phase Identification from X-ray Hyperspectral Imaging of cycled Na-ion Cathode Materials
Fayçal Adrar, Nicolas Folastre, Chloé Pablos +7
Na-ion batteries have emerged as viable candidates for large-scale energy storage applica- tions due to resource abundance and cost advantages. The constraints imposed on their per…
Building high-energy silicon-containing batteries using off-the-shelf materials
Marco-Tulio F. Rodrigues, Stephen E. Trask, Alison R. Dunlop +16
The technology of silicon anodes appears to be reaching maturity, with high-energy Si cells already in pilot-scale production. However, the performance of these systems can be diff…
Unsupervised Multi-Clustering and Decision-Making Strategies for 4D-STEM Orientation Mapping
Junhao Cao, Nicolas Folastre, Gozde Oney +4
This study presents a novel integration of unsupervised learning and decision-making strategies for the advanced analysis of 4D-STEM datasets, with a focus on non-negative matrix f…
Investigation of Microstructural Evolution in All-Solid-State Micro-Batteries through in situ Electrochemical TEM
Sorina Cretu, Nicolas Folastre, David Troadec +7
All-solid-state batteries hold great promise for electric vehicle applications due to their enhanced safety and higher energy density. However, further performance optimization req…
Improved ACOM pattern matching in 4D STEM through adaptive sub pixel peak detection and image reconstruction
Nicolas Folastre, Junhao Cao, Gozde Oney +7
The technique known as 4D-STEM has recently emerged as a powerful tool for the local characterization of crystalline structures in materials, such as cathode materials for Li-ion b…