arxiv
PublishedApril 24, 2026 at 4:00 AM
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Physics-Enhanced Deep Learning for Proactive Thermal Runaway Forecasting in Li-Ion Batteries
Publisher summary· verbatim
arXiv:2604.20175v1 Announce Type: new Abstract: Accurate prediction of thermal runaway in lithium-ion batteries is essential for ensuring the safety, efficiency, and reliability of modern energy storage systems. Conventional data-driven approaches, such as Long Short-Term Memory (LSTM) networks, can
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Originally published on arxiv ↗