Rational Design of Highly Fluorescent N-Doped Carbon Nanoparticles for Hg2+ Ion Sensing via Machine Learning and Computational Analysis
- DOI
- 10.1021/acs.langmuir.6c03920
- Published
- 2026-10-20
- Container
- Langmuir
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.langmuir.6c03920,
title = {Rational Design
of Highly Fluorescent N-Doped
Carbon Nanoparticles for Hg2+ Ion Sensing via Machine Learning
and Computational Analysis},
author = {Sanjeeb Sutradhar and Pubali Kar and Soumyakanta Prusty and Pallabi Sharma},
year = {2026},
journal = {Langmuir},
doi = {10.1021/acs.langmuir.6c03920},
url = {https://doi.org/10.1021/acs.langmuir.6c03920}
}RIS
TY - JOUR TI - Rational Design of Highly Fluorescent N-Doped Carbon Nanoparticles for Hg2+ Ion Sensing via Machine Learning and Computational Analysis AU - Sanjeeb Sutradhar AU - Pubali Kar AU - Soumyakanta Prusty AU - Pallabi Sharma PY - 2026 JO - Langmuir DO - 10.1021/acs.langmuir.6c03920 UR - https://doi.org/10.1021/acs.langmuir.6c03920 ER -
APA
Sutradhar, S., Kar, P., Prusty, S., & Sharma, P. (2026). Rational Design of Highly Fluorescent N-Doped Carbon Nanoparticles for Hg2+ Ion Sensing via Machine Learning and Computational Analysis. Langmuir. https://doi.org/10.1021/acs.langmuir.6c03920
Source records
- crossref · retrieved 2026-11-04T18:30:14.990Z