The question
How can characterization and computational methods help assess mesoscale heterogeneities in hard carbon electrodes?
Method and workflow
This collaborative study brings together deep learning-assisted FIB-SEM characterization, manufacturing, and electrochemical modeling. It sits at the interface of materials imaging and computational understanding of electrode microstructure.
Research output
The work appears in Advanced Energy Materials in 2026. The published article is linked alongside this page.
Results and insights
Selected microstructure visualizations, characterization workflows, and the interpretation of key findings will be added here. The current workflow is a conceptual illustration, not an experimental image or reported result.
My contribution
The detailed contribution statement for this collaborative work is to be added. Authorship alone should not be interpreted as responsibility for every method described in the paper.
Scope and limitations
The paper remains the source for the complete methods, results, and discussion. Images will be included with captions and appropriate attribution.
