- Computer vision provides a rapid pathway from physical electrode to microstructural parameters
- Deep neural networks provide analysis from microstructural parameters to predict long-term performance metrics
- Connecting the two will produce a rapid electrode assessment tool
NETL researchers have used EDX® to publicly release the largest known bank of 3D electrode microstructures of solid oxide fuel and electrolysis cells (SOCs) for training ML tools.
