A transformer guided multi modal learning framework for predictive and causal assessment of thermal runaway in high energy batteries
Machine Learning approaches from the present state either use unimodal data, unable to model elegant long spatial-temporal dependencies in warning systems or create early warning response datasets with limited quantitative interpretability sets. To address these shortcomings, this work introduces T-...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Nature Research
2025
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/47539/1/J%202025%20SR%20Sameer%20M.M.Noor%20Thermal%20Runway%20HE%20Batt%20RDU240117.pdf https://doi.org/10.1038/s41598-025-20886-x https://umpir.ump.edu.my/id/eprint/47539/ |
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