activity
20232025
most citedFluorescent Graphene Quantum Dots-Enhanced Machine Learning for Accurate Detection and Quantification of Hg2+ and Fe3+ in Real Water Samples

17 citations · 41 across the 4 of their papers we have counts for

collaborators

4 papers

cond-mat.mtrl-sci2025★ 1 cited

Mechanism of Oxygen Reduction via Chemical Affinity in NiO/SiO2 Interfaces Irradiated with keV Energy Hydrogen and Helium Ions for Heterostructure Fabrication

Mario Mery, Claudio Gonzalez-Fuentes, Igor Stankovic +4

Low-energy light ion beams are an essential resource in lithography for nanopatterning magnetic materials and interfaces due to their ability to modify the structure and properties…

cond-mat.mes-hall2024★ 17 cited

Fluorescent Graphene Quantum Dots-Enhanced Machine Learning for Accurate Detection and Quantification of Hg2+ and Fe3+ in Real Water Samples

Mauricio Llaver, Santiago Daniel Barrionuevo, Jorge Martín Nuñez +4

Selective, accurate, fast, and with minimal usage of instrumentation has become paramount nowadays in areas of environmental monitoring. Here, we chemically modified fluorescent gr…

cond-mat.mes-hall2024★ 10 cited

Stacking-Configuration-Preserved Graphene Quantum Dots Electrochemically Obtained from CVD Graphene

Santiago D. Barrionuevo, Federico Fioravanti, Jorge M. Nuñez +5

The layer stacking morphology in nanocarbons is paramount for achieving new properties and outperforming applications. Here, we demonstrate that graphene quantum dots (GQDs) retain…

cond-mat.mes-hall2023★ 13 cited

Efficient generation of highly crystalline carbon quantum dots via electrooxidation of ethanol for rapid photodegradation of organic dyes

Santiago D. Barrionuevo, Federico Fioravanti, Jorge M. Nuñez +5

Achieving versatile routes to generate crystalline carbon-based nanostructures has become a fervent pursuit in photocatalysis-related fields. We demonstrate that the direct electro…