Research data supporting "Detecting mid-infrared light by molecular frequency upconversion with dual-wavelength hybrid nanoantennas"

Xomalis, A., Zheng, X., Chikkaraddy, R., Koczor-Benda, Z., Miele, E., Rosta, E., Vandenbosch, G. A., et al. (2021). Research data supporting "Detecting mid-infrared light by molecular frequency upconversion with dual-wavelength hybrid nanoantennas" [Dataset]. https://doi.org/10.17863/CAM.77640

Description

This folder contains research data from every figure in the paper. Briefly, files contain the reflection of the nanoparticle-on-resonator (NPoR) in visible and mid-infrared regime. Further, we enclose experiment data of surface enhanced Raman spectroscopy (SERS) of the constructs under study, as described in the linked manuscript. Here, we perform power dependent frequency upconversion measurements while measuring SERS. We show upconversion with pump ON and OFF. Then we show detail upconversion measurements for 40 NPoRs where we focus in various Stokes and antiStokes peaks for clarity. Lastly, we examine the mid-infrared tuning dependence of the frequency upconversion.

Format

The data is xlsx files that can be opened with Microsoft Excel

Keywords

Nanocavity, frequency-upconversion, SERS, antennas, optomechanics, resonators

Relationships

Publication Reference: https://doi.org/10.1126/science.abk2593 https://www.repository.cam.ac.uk/handle/1810/330701

Sponsorship

We acknowledge support from European Research Council (ERC) under Horizon 2020 research and innovation programme THOR (829067), POSEIDON (861950) and PICOFORCE (883703). We acknowledge funding from the EPSRC (Cambridge NanoDTC EP/L015978/1, EP/L027151/1, EP/S022953/1, EP/P029426/1, and EP/R020965/1). X.Z. acknowledges support from KU Leuven Internal Funds C14/19/083, IDN/20/014, KA/20/019 and FWO G090017N. R.C. acknowledges support from Trinity College, University of Cambridge. Z.K.B. and E.R. acknowledge funding from EPSRC (EP/R013012/1, EP/L027151/1) and ERC project 757850 BioNet. We are grateful to the UK Materials and Molecular Modelling Hub for computational resources, which is partially funded by EPSRC (EP/P020194/1).

Funder references

European Commission Horizon 2020 (H2020) Future and Emerging Technologies (FET) (829067)

European Commission Horizon 2020 (H2020) Research Infrastructures (RI) (861950)

European Commission Horizon 2020 (H2020) ERC (883703)

Engineering and Physical Sciences Research Council (EP/L015978/1)

Engineering and Physical Sciences Research Council (EP/L027151/1)

Engineering and Physical Sciences Research Council (EP/S022953/1)

Engineering and Physical Sciences Research Council (EP/P029426/1)

Engineering and Physical Sciences Research Council (EP/R020965/1)

Identifiers

This record's DOI: https://doi.org/10.17863/CAM.77640

Rights

Attribution 4.0 International (CC BY 4.0)

Licence URL: https://creativecommons.org/licenses/by/4.0/

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Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)