Inside dry electrode extrusion
Exploring extrusion with recirculation through the discrete element method, in the context of dry manufacturing of lithium-ion battery electrodes.
COMPUTATIONAL
SCIENTIST
From process
to performance.
Through computation.
I combine physics-based simulation, microstructure characterization, and machine learning to explore how materials are made—and how they perform.

Exploring extrusion with recirculation through the discrete element method, in the context of dry manufacturing of lithium-ion battery electrodes.
Deep learning-assisted FIB-SEM characterization of hard carbon electrodes, connecting mesoscale heterogeneity, manufacturing, and electrochemical modeling.
A study of parameter optimization for granular models of battery manufacturing, linking computational models with the challenge of choosing their parameters.

Processing conditions
and materials design

Structure across
scales and interfaces

Connecting structure
with material response
A process–structure–property perspective. Images are conceptual illustrations.
Understanding dry processing, extrusion, and emerging routes to battery materials.
Explore theme 02Connecting material structures with computational models and physical behavior.
Explore theme 03Bringing data-driven models into simulation, calibration, and optimization.
Explore themeFor research conversations and potential collaborations.