Design of a highly efficient graphene-coated ultra-wideband solar thermal absorber for renewable mining energy applications using artificial intelligence optimization

Yogesh Sharma, Bo Bo Han, Refka Ghodhbani, Nurul Halimatul Asmak Ismail, Mohammed M. Alammar, Monir Abdullah, Shobhit K. Patel

Open source

DOI: 10.1186/s11671-026-04915-w
Published: 2026-10-05
Container: Discover Nano
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1186/s11671-026-04915-w,
  title = {Design of a highly efficient graphene-coated ultra-wideband solar thermal absorber for renewable mining energy applications using artificial intelligence optimization},
  author = {Yogesh Sharma and Bo Bo Han and Refka Ghodhbani and Nurul Halimatul Asmak Ismail and Mohammed M. Alammar and Monir Abdullah and Shobhit K. Patel},
  year = {2026},
  journal = {Discover Nano},
  doi = {10.1186/s11671-026-04915-w},
  url = {https://doi.org/10.1186/s11671-026-04915-w}
}

RIS

TY  - JOUR
TI  - Design of a highly efficient graphene-coated ultra-wideband solar thermal absorber for renewable mining energy applications using artificial intelligence optimization
AU  - Yogesh Sharma
AU  - Bo Bo Han
AU  - Refka Ghodhbani
AU  - Nurul Halimatul Asmak Ismail
AU  - Mohammed M. Alammar
AU  - Monir Abdullah
AU  - Shobhit K. Patel
PY  - 2026
JO  - Discover Nano
DO  - 10.1186/s11671-026-04915-w
UR  - https://doi.org/10.1186/s11671-026-04915-w
ER  -

APA

Sharma, Y., Han, B. B., Ghodhbani, R., Ismail, N. H. A., Alammar, M. M., Abdullah, M., & Patel, S. K. (2026). Design of a highly efficient graphene-coated ultra-wideband solar thermal absorber for renewable mining energy applications using artificial intelligence optimization. Discover Nano. https://doi.org/10.1186/s11671-026-04915-w

Source records

crossref · retrieved 2026-11-04T03:07:22.829Z