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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Bibliographic Details
Main Authors: Gajghate, Sameer Sheshrao, Noor, M. M., Kumar, Subhash, Bansod, Premendra Janardan, Shelare, Sagar Dnyaneshwar, Nikam, Keval Chandrakant, Jathar, Laxmikant Dattatray, Dennison, Milon Selvam
Format: Article
Language:en
Published: Nature Research 2025
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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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