π learning: a performance‐informed framework for microstructural electrode design
Designing high-performance porous electrodes is the key to next-generation electrochemical energy devices. Current machine-learning-based electrode design strategies are mainly orientated toward physical properties; however, the electrochemical performance is the ultimate design objective. Performan...
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| Main Authors: | , , , , , , |
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| Format: | Default Article |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/22290169.v1 |
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