A Cyber-Physical Digital Twin Framework for State Estimation of Dendrite-Risk Prediction and Resilient Control in Solid-State Batteries.

Subramanian S, Paulraj P, Subramanian R, Narayanan L, Perumal H, Abidi MH, Alkhalefah H, Qudeiri JEA, Salunkhe S

Open source

DOI
10.1002/gch2.70141
Published
2026 Aug
Container
Global challenges (Hoboken, NJ)
Publisher
Not recorded
Open access
yes

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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

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