Defect detection
Point vacancies, extra peaks, displaced sites, line features and uploaded-image anomaly candidates for SEM/TEM/STEM/AFM-style images.
Pioneering graphene-derived nanomaterials for novel electronics applications
Graphene process engineering, from carbon architectures to device-ready platforms.
PhD in Engineering, Electronic Engineer and AI developer working across CVD graphene, twisted bilayer graphene, graphene/carbon quantum dots, cleanroom workflows, advanced metrology, simulation and technical reporting.
New industrial metrology software
Test my new app: Visual Defect Analyzer 2026.
A Windows-testable application for calibrated defect detection, visual inspection, SQL traceability, wafer-yield scenario projection and process-quality reporting in advanced materials inspection workflows.
v1.0.0 · Industrial metrology prototype
From atom-scale image inspection to engineering review outputs.
Visual Defect Analyzer 2026 demonstrates how a Python-based metrology workflow can connect image upload, calibrated defect detection, lattice inspection, visual review, SQL logging, defect manifests and wafer-yield scenario reporting in one practical tool.
PythonOpenCV · scikit-image · pandas · SQLite
Metrologydefects · density · yield scenario · reports
WorkflowWindows local app · downloadable outputs
Application dashboard with engineering status and calibrated metrics
Industrial defect review sheet with overlay, critical candidates and yield summary
Atom-column lattice example used for controlled defect detection
Traceability
Each run produces a defect manifest, engineering report, downloadable outputs and SQL-ready inspection records.
Yield scenario
Inspection findings are translated into defect density, review priority and wafer-level yield-scenario indicators.
Industrial roadmap
The prototype is designed to evolve toward real inspection datasets, expert labels, gauge R&R, SPC monitoring and model validation.
Professional positioning
Full graphene value chain profile for R&D, foundry, metrology and device integration roles.
I work across the chain from CVD growth, transfer, heterostructure assembly and cleanroom patterning to device integration, characterization, data interpretation and results dissemination. My materials portfolio includes CVD graphene, TBLG, GQDs, CQDs, graphene foams, graphene/metal nanohybrids and 2D heterostructures such as MoS2- and YIG-related stacks.
Target fit
Graphene R&D · Process development · Wafer/device integration · Advanced metrology · Quality/failure analysis
Industry value
I connect process variables, defects, contamination, interfaces and spectroscopy/microscopy data to identify device-relevant performance issues and optimize reproducible workflows.
Research value
I translate graphene-derived nanomaterials into sensing, spintronic, neuromorphic, optoelectronic and electrochemical applications.
Methods
Raman, SEM, AFM, STM/STS, HRTEM, STEM-HAADF, EELS, XPS, UV-Vis, FTIR, electrochemistry, TDDFT/DFT and Python workflows.
About me
My research history.
Graphene-derived nanomaterials
My research focuses on synthesizing and characterizing innovative graphene-derived nanomaterials, primarily using CVD graphene as a starting point. These materials show potential in water contaminant degradation, fluorescence-based ion detection, efficient photoanodes and electrochemical glucose sensing.
Twisted bilayer graphene
I developed twisted bilayer graphene from CVD graphene on Cu substrates using substrate chemical attack, enabling control over electronic properties through rotation-angle-dependent structures.
CQDs, GQDs and nanohybrids
My work includes direct ethanol electrooxidation on Ni foam electrodes, yielding ultra-small CQDs around 2.8 nm rich in oxygenated groups for light-assisted dye degradation. Electrochemical exfoliation of 3D graphene on Ni foams produces GQDs with confined electrons, UV-Visible absorption and emission. Functionalized GQDs enable Hg2+ and Fe3+ sensing in water and wine, and they act as reducing agents for Au/Pt graphene nanohybrids used in electrocatalysis and glucose detection.
Modeling and advanced characterization
I use TDDFT/DFT models to simulate GQD optoelectronic properties, emission, absorbance and quantum confinement. The materials are characterized with advanced techniques such as HRTEM, EELS and STEM-HAADF to understand size, nanostructure and composition.
Research atlas
Searchable project map.
Use the search box and chips together. This version fixes the atlas filtering logic.
8 cards shown
Growth, transfer and stack preparation
Cu-foil and Ni-foam CVD graphene routes used as platforms for TBLG, GQDs/CQDs, graphene-metal nanohybrids and device-oriented workflows.
Twisted bilayer graphene
TBLG synthesis/transfer protocols from CVD graphene on Cu through substrate chemical attack, targeting rotation-angle-dependent electronic tuning.
Fluorescent quantum dots
Functional GQDs and CQDs for Hg2+/Fe3+ detection, water/wine analysis, dye photodegradation, optical response and confined-electron behavior.
Graphene-metal nanohybrids
Au/Pt graphene nanohybrids and core-shell systems for electrocatalysis, non-enzymatic glucose detection and electroactive platforms.
Hall-bar and heterostructure workflows
Exposure to graphene/YIG stacks, MoS2-related integration, Hall-bar/GFET-oriented layouts, sputtering, ion milling and direct-write lithography.
Advanced characterization feedback
Raman, SEM, AFM, STM/STS, HRTEM, STEM-HAADF, EELS, XPS, UV-Vis and FTIR used to diagnose defects, interfaces, crystallinity and reproducibility.
DFT/TDDFT and Python analysis
Computational workflows to simulate GQD absorption/emission, interpret quantum confinement, compare with spectroscopy and guide material design.
ULTIMATE-I, MELON and ELECMI campaigns
H2020 MSCA-RISE work on graphene-based quantum materials and advanced sensing, plus competitive ELECMI accesses for TEM-EELS and UHV JT-STM/STS.
Professional experience
Research, process and teaching timeline.
Postdoctoral Research Fellow / Early Researcher, H2020 MSCA-RISE
INMA (CSIC/UNIZAR), Zaragoza, Spain. Graphene/device integration for ULTIMATE-I and MELON, combining graphene-based nanomaterials and heterostructures with MoS2 and YIG, cleanroom processing, sputtering, ion milling, Hall-bar/GFET-oriented workflows, Raman, SEM, STM/STS, HRTEM, STEM-HAADF, EELS, XPS, UV-Vis and FTIR feedback.
Doctoral Research Fellow — Graphene-Derived Nanomaterials & Devices
INIFTA (CONICET-UNLP), Buenos Aires, Argentina. Designed, assembled, maintained and operated custom CVD equipment; developed CVD graphene, TBLG, GQDs, CQDs and graphene/metal nanohybrids; worked on sensing, photoanodes, photodegradation, electrocatalysis, glucose detection and TDDFT/DFT/Python workflows.
H2020 Marie Skłodowska-Curie RISE Secondment
Universidad de Zaragoza, Spain. Advanced characterization of graphene nanostructures using HRTEM and EELS; synthesis/characterization of GQDs; development of transfer and cleaning procedures for ultra-clean graphene surfaces.
Teaching Assistant — Summer School
Universidad Nacional de La Plata. Two-Dimensional Nanomaterials: Graphene and Others — Production, Properties and Applications.
Teaching Assistant — Nanotechnology & Nanomaterials
Universidad Nacional de La Plata. Teaching support, student guidance and educational material for nanotechnology and nanomaterials courses.
Visiting Researcher
INFIQC, Córdoba, Argentina. XPS and Raman characterization of graphene nanostructures.
Research Intern
INIFTA, La Plata, Argentina. Research projects in nanomaterials and electronics.
Summer Intern
Instituto Balseiro, Bariloche, Argentina. Photonic and microwave device design.
Research, projects and publications
Selected research publications.
9 publications shown
Stacking-Configuration-Preserved Graphene Quantum Dots Electrochemically Obtained from CVD Graphene
Barrionuevo, S. D.; Fioravanti, F.; Nuñez, J. M.; Muñeton Arboleda, D.; Lacconi, G. I.; Bellino, M. G.; Aguirre, M. H.; Ibañez, F. J. DOI: 10.1021/acs.jpcc.3c06871.
Highly Selective and Sensitive Fluorescent Determination of Fe3+ within Alcoholic Beverages with 1,5-Diphenylcarbazone-Functionalized Graphene Quantum Dots
Llaver, M.; Barrionuevo, S. D.; Troiani, H.; Wuilloud, R. G.; Ibañez, F. J. DOI: 10.1016/j.talo.2023.100202.
Efficient Generation of Highly Crystalline Carbon Quantum Dots via Electrooxidation of Ethanol for Rapid Photodegradation of Organic Dyes
Barrionuevo, S. D.; Fioravanti, F.; Nuñez, J. M.; Llaver, M.; Aguirre, M. H.; Bellino, M. G.; Lacconi, G. I.; Ibañez, F. J. DOI: 10.1039/D3TC01774E.
Think Outside the Lab: Modeling Graphene Quantum Dots in Pandemic Times
Melia, L. F.; Barrionuevo, S. D.; Ibañez, F. J. DOI: 10.1021/acs.jchemed.1c00879.
Functionalized Graphene Quantum Dots Obtained from Graphene Foams Used for Highly Selective Detection of Hg2+ in Real Samples
Llaver, M.; Barrionuevo, S. D.; Prieto, E.; Wuilloud, R. G.; Ibañez, F. J. DOI: 10.1016/j.aca.2022.340422.
Graphene and Carbon Dots for Photoanodes with Enhanced Performance
Messina, M. M.; Barrionuevo, S. D.; Coustet, M. E.; Kreuzer, M. P.; Saccone, F. D.; dos Santos Claro, P. C.; Ibañez, F. J. DOI: 10.1021/acsanm.1c01295.
Water-Graphene Environment Modulated by Coupled Nanopore Interplay
Gimenez, R.; Barrionuevo, S. D.; Berli, C. L. A.; Ibañez, F. J.; Bellino, M. G. DOI: 10.1016/j.matchemphys.2019.05.005.
Fluorescent Graphene Quantum Dots-Enhanced Machine Learning for Accurate Detection and Quantification of Hg2+ and Fe3+ in Real Water Samples
Llaver, M.; Barrionuevo, S. D.; Nuñez, J. M. M.; Chapana, A.; Wuilloud, R. G.; Aguirre, M. H.; Ibañez, F. J. DOI: 10.1039/D3EN00702B.
Graphene Quantum Dots Drive Spontaneous Metal Reduction to Form Stable and Electroactive Core-Shell Nanocolloids
Ventre, J.; Barrionuevo, S. D.; Nuñez, J. M.; Renna, A.; Aguirre, M. H.; Bellino, M. G.; Ibañez, F. J. DOI: 10.1002/chem.202501997.
More information: Google Scholar profile.
Education
- Doctorate in Engineering, Materials Engineering — Universidad Nacional de La Plata, Argentina. PhD awarded Jul. 2024. Thesis: TBLG, GQDs and graphene-metal nanohybrids for advanced applications.
- Electronic Engineering — Universidad Nacional de La Plata, Argentina, 2017.
- Electronic Technician — Technical High School EPT No. 748, Trelew, Argentina, 2011.
- Google Data Analytics Professional Certificate, Python for Data Science, AI & Development, R Data Analysis and AI-assisted simulation/scientific software workflows.
- Machine Learning Specialization, Stanford University, 2024.
- Languages: Spanish native; English professional working proficiency.
Skills and expertise
Graphene-derived nanomaterialsCVD synthesis2D materialsTBLGGQDs/CQDsCleanroom processingDirect-write photolithographySputteringIon millingHall-bar/GFET layoutsRamanSEM/AFMHRTEMSTEM-HAADF/EELSSTM/STSXPSUV-Vis/FTIRElectrochemistryPythonMATLABC/C++ORCAQuantum ESPRESSOTDDFT/DFTData analysisDoE-aware planningRoot-cause analysisTechnical reportingProject managementTeam leadershipInnovation
Achievements
I have produced nanomaterials for electronic, environmental and analytical challenges using nanotechnology. I developed synthesis and characterization routes for graphene, TBLG, GQDs, CQDs and nanohybrids, contributing to device-oriented graphene materials and precise control over structure-property relationships.
Selected projects, funding and impact
- ULTIMATE-I H2020 MSCA-RISE: graphene-based quantum materials, device integration and advanced sensing systems.
- MELON H2020 MSCA-RISE: ultra-clean graphene layers and hybrid Au/Pt-graphene nanostructures for sensing/electrochemical platforms.
- ELECMI facility campaigns: TEM-EELS using NEOARM cFEG TEM at CCiT-UB and low-temperature UHV JT-STM/STS at LMA Zaragoza.
- National funding and awards: CONICET doctoral fellowship, CONICET postdoctoral fellowship, PICT/FONCYT/ANPCyT projects, INNOVAR 2017 and PREMIOS INNOVACION UNLP 2017.
Contact
Available for graphene R&D, process engineering, advanced metrology and device-integration opportunities.
Zaragoza, Spain · +34 666 788 608 · drsantiagobarrionuevo.com