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Advanced Surface Enhanced Raman Spectroscopy (SERS) based technologies for gas and liquids sensING in the area of chemical protection

Resultado final

Communication and dissemination plan

D66 Communication and Dissemination Plan SIL M122442 M48 R PU

Publicaciones

Plasmonic MOF Thin Films with Raman Internal Standard for Fast and Ultrasensitive SERS Detection of Chemical Warfare Agents in Ambient Air

Autores: Marta Lafuente, Sarah De Marchi, Miguel Urbiztondo, Isabel Pastoriza-Santos, Ignacio Pérez-Juste, Jesús Santamaría, Reyes Mallada, María Pina
Publicado en: ACS Sensors, Issue 6/6, 2021, Page(s) 2241-2251, ISSN 2379-3694
Editor: ACS Publications
DOI: 10.1021/acssensors.1c00178

Plasmonic metal-organic frameworks

Autores: Guangchao Zheng, Isabel Pastoriza-Santos, Jorge Pérez-Juste, Luis M. Liz-Marzán
Publicado en: SmartMat, 2021, ISSN 2688-819X
Editor: Wiley
DOI: 10.1002/smm2.1047

On-chip monitoring of toxic gases: capture and label-free SERS detection with plasmonic mesoporous sorbents

Autores: Marta Lafuente, Ileana Florea, Reyes Mallada, Fernando Almazán, Eduardo Bernad, Raul Arenal, Miguel A. Urbiztondo and Maria P. Pina
Publicado en: Lab on a chip, 2023, ISSN 1473-0197
Editor: Royal Society of Chemistry
DOI: 10.1039/d3lc00136a

Exploring the surface-enhanced Raman scattering (SERS) activity of gold nanostructures embedded around nanogaps at wafer scale: Simulations and experiments

Autores: Marta Lafuente, Pablo Muñoz, Erwin J.W. Berenschot, Roald M. Tiggelaar, Arturo Susarrey-Arce, Sergio G. Rodrigo, Lucas J. Kooijman, Sonia M. García-Blanco, Reyes Mallada, María P. Pina, Niels R. Tas
Publicado en: Applied Materials Today, Issue 35 (2023), 2023, Page(s) 101929, ISSN 2352-9415
Editor: Elsevier
DOI: 10.1016/j.apmt.2023.101929

Raman Spectrum Matching with Contrastive Representation Learning

Autores: Tommy Sonne Alstrøm; Mikkel N. Schmidt; Bo Li
Publicado en: Analyst, Issue 1, 2022, ISSN 1467-8284
Editor: Analyst
DOI: 10.48550/arxiv.2202.12549

On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data

Autores: Bo Li, Mikkel N. Schmidt, Tommy S. Alstrøm, Sebastian U. Stich
Publicado en: 2023
Editor: Computer Vision Foundation

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