Research data supporting "Detecting mid-infrared light by molecular frequency upconversion with dual-wavelength hybrid nanoantennas"
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Dataset
Change log
Authors
Zheng, Xuezhi
Koczor-Benda, Zsuzsanna
Miele, Ermanno
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.
Version
Software / Usage instructions
The data is xlsx files that can be opened with Microsoft Excel
Keywords
Nanocavity, frequency-upconversion, SERS, antennas, optomechanics, resonators
Publisher
Sponsorship
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)
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)
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).