A Cyber-Physical Digital Twin Framework for State Estimation of Dendrite-Risk Prediction and Resilient Control in Solid-State Batteries.
- DOI
- 10.1002/gch2.70141
- Published
- 2026 Aug
- Container
- Global challenges (Hoboken, NJ)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1002/gch2.70141,
title = {A Cyber-Physical Digital Twin Framework for State Estimation of Dendrite-Risk Prediction and Resilient Control in Solid-State Batteries.},
author = {Subramanian S and Paulraj P and Subramanian R and Narayanan L and Perumal H and Abidi MH and Alkhalefah H and Qudeiri JEA and Salunkhe S},
year = {2026},
journal = {Global challenges (Hoboken, NJ)},
doi = {10.1002/gch2.70141},
url = {https://doi.org/10.1002/gch2.70141}
}RIS
TY - JOUR TI - A Cyber-Physical Digital Twin Framework for State Estimation of Dendrite-Risk Prediction and Resilient Control in Solid-State Batteries. AU - Subramanian S AU - Paulraj P AU - Subramanian R AU - Narayanan L AU - Perumal H AU - Abidi MH AU - Alkhalefah H AU - Qudeiri JEA AU - Salunkhe S PY - 2026 JO - Global challenges (Hoboken, NJ) DO - 10.1002/gch2.70141 UR - https://doi.org/10.1002/gch2.70141 ER -
APA
S, S., P, P., R, S., L, N., H, P., MH, A., H, A., JEA, Q., & S, S. (2026). A Cyber-Physical Digital Twin Framework for State Estimation of Dendrite-Risk Prediction and Resilient Control in Solid-State Batteries.. Global challenges (Hoboken, NJ). https://doi.org/10.1002/gch2.70141
Source records
- pubmed · retrieved 2026-09-24T23:05:46.034Z