Deep-Learning-Driven Dual Sensors Based on Single-Trapped Upconverting Particles

Óscar Pérez-Benito, J. Ignacio Echavarría, Javier Hernandez-Rueda

Open source

DOI: 10.1021/acs.nanolett.6c03652
Published: 2026-10-20
Container: Nano Letters
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.nanolett.6c03652,
  title = {Deep-Learning-Driven
Dual Sensors Based on Single-Trapped
Upconverting Particles},
  author = {Óscar Pérez-Benito and J. Ignacio Echavarría and Javier Hernandez-Rueda},
  year = {2026},
  journal = {Nano Letters},
  doi = {10.1021/acs.nanolett.6c03652},
  url = {https://doi.org/10.1021/acs.nanolett.6c03652}
}

RIS

TY  - JOUR
TI  - Deep-Learning-Driven
Dual Sensors Based on Single-Trapped
Upconverting Particles
AU  - Óscar Pérez-Benito
AU  - J. Ignacio Echavarría
AU  - Javier Hernandez-Rueda
PY  - 2026
JO  - Nano Letters
DO  - 10.1021/acs.nanolett.6c03652
UR  - https://doi.org/10.1021/acs.nanolett.6c03652
ER  -

APA

Pérez-Benito, O., Echavarría, J. I., & Hernandez-Rueda, J. (2026). Deep-Learning-Driven Dual Sensors Based on Single-Trapped Upconverting Particles. Nano Letters. https://doi.org/10.1021/acs.nanolett.6c03652

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crossref · retrieved 2026-11-06T04:18:33.076Z