Prof. Weihan Li (RWTH Aachen) joins us to unpack the reality of the “Data Value Gap” in battery development. With 110+ publications in battery modeling and AI, he brings both deep expertise and a clear sense of technical urgency.
Key topics we cover:
- Standard physical models hit a ceiling where AI begins uncovering hidden patterns in massive datasets.
- Time-to-market has become the only chemistry that matters for the European battery industry.
- A significant mismatch remains between high-level management strategies and the reality for engineers in the "engine room."
- Simply having the data is useless if you haven't done the hard work of harmonization.
Tune in for the full episode:
🎬 YouTube: https://youtu.be/2m02tYXE0ug
🎧 Spotify: https://open.spotify.com/episode/5K7JtNwXVx63pkKPoQASSQ?si=Z4yYuFAzRda6cA8MTgxSlw
.avif)
