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The question
How can machine learning surrogate modeling be applied to materials extrusion for lithium-ion battery electrode dry manufacturing?
Method and workflow
The project connects a manufacturing process with data-driven modeling. Its conceptual workflow moves from simulation data to a surrogate model and prediction.
Research output
The study is listed in the June 2026 CV as a preprint under review. The manuscript is linked alongside this page.
Results and insights
Dataset construction, model evaluation, and selected prediction results will be documented here with supporting figures. No numerical accuracy or speedup is claimed in this portfolio summary.
My contribution
A specific contribution statement and any publicly shareable software will be added.
Scope and limitations
Model validity depends on the data and the modeled process. Please refer to the preprint for the current methods and assessment of applicability.