Computational prediction of nucleobase-derived organic compounds as high-efficiency corrosion inhibitors on Fe, Cu, Al, Sn: a DFT.

Kareem RO, Amin HM, Uzah TT

DOI: 10.1007/s00894-025-06536-z
Published: 2025 Nov 18
Container: Journal of molecular modeling
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1007/s00894-025-06536-z,
  title = {Computational prediction of nucleobase-derived organic compounds as high-efficiency corrosion inhibitors on Fe, Cu, Al, Sn: a DFT.},
  author = {Kareem RO and Amin HM and Uzah TT},
  year = {2025},
  journal = {Journal of molecular modeling},
  doi = {10.1007/s00894-025-06536-z},
  url = {https://doi.org/10.1007/s00894-025-06536-z}
}

RIS

TY  - JOUR
TI  - Computational prediction of nucleobase-derived organic compounds as high-efficiency corrosion inhibitors on Fe, Cu, Al, Sn: a DFT.
AU  - Kareem RO
AU  - Amin HM
AU  - Uzah TT
PY  - 2025
JO  - Journal of molecular modeling
DO  - 10.1007/s00894-025-06536-z
UR  - https://doi.org/10.1007/s00894-025-06536-z
ER  -

APA

RO, K., HM, A., & TT, U. (2025). Computational prediction of nucleobase-derived organic compounds as high-efficiency corrosion inhibitors on Fe, Cu, Al, Sn: a DFT.. Journal of molecular modeling. https://doi.org/10.1007/s00894-025-06536-z

Source records

pubmed · retrieved 2026-09-27T13:11:01.256Z
europe-pmc · retrieved 2026-09-27T13:11:01.278Z