Liquid time constant based neuromorphic active inference for resilient control and health aware battery management in hybrid AC/DC microgrids.

Rawat AK, Chandra S, Deolia VK.

Open source

DOI
10.1038/s41598-026-60189-3
Published
2026-07-03
Container
Sci Rep
Publisher
Not recorded
Open access
no

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-60189-3,
  title = {Liquid time constant based neuromorphic active inference for resilient control and health aware battery management in hybrid AC/DC microgrids.},
  author = {Rawat AK and  Chandra S and  Deolia VK.},
  year = {2026},
  journal = {Sci Rep},
  doi = {10.1038/s41598-026-60189-3},
  url = {https://doi.org/10.1038/s41598-026-60189-3}
}

RIS

TY  - JOUR
TI  - Liquid time constant based neuromorphic active inference for resilient control and health aware battery management in hybrid AC/DC microgrids.
AU  - Rawat AK
AU  -  Chandra S
AU  -  Deolia VK.
PY  - 2026
JO  - Sci Rep
DO  - 10.1038/s41598-026-60189-3
UR  - https://doi.org/10.1038/s41598-026-60189-3
ER  - 

APA

AK, R., S, C., & VK., D. (2026). Liquid time constant based neuromorphic active inference for resilient control and health aware battery management in hybrid AC/DC microgrids.. Sci Rep. https://doi.org/10.1038/s41598-026-60189-3

Source records