Dataset.
Research data supporting "Optomechanical Collective Effects in Surface-Enhanced Raman Scattering from Many Molecules"
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/212742
Digital.CSIC. Repositorio Institucional del CSIC
- Zhang, Yuan
- Aizpurua, Javier
- Esteban, Ruben
We include the dataset corresponding to the figures of the paper "Optomechanical Collective Effects in Surface-Enhanced Raman Scattering from Many Molecules" by Yuan Zhang, Javier Aizpurua, and Ruben Esteban, published in ACS Photonics with DOI: 10.1021/acsphotonics.0c00032. The data presented in each figure were originally generated using self-made codes. The datasets are divided into sub-folders which correspond to each figure in the main text as well as in the supporting information. Each sub-folder is labeled according to the figure number. The datasets are included in text format in the corresponding files (".dat"). Additionally, each sub-folder contains an explanatory text file "Figure[X]Readme.txt" (X for 2,3,..,S1,S2...) with the details of how each data set is organized. Python programs that can be used to reproduce the figures are included in each sub-folder., Peer reviewed
DOI: http://hdl.handle.net/10261/212742
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/212742
HANDLE: http://hdl.handle.net/10261/212742
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/212742
Ver en: http://hdl.handle.net/10261/212742
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/212742
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2 Versiones
2 Versiones
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/212742
Dataset. 2020
RESEARCH DATA SUPPORTING "OPTOMECHANICAL COLLECTIVE EFFECTS IN SURFACE-ENHANCED RAMAN SCATTERING FROM MANY MOLECULES"
Digital.CSIC. Repositorio Institucional del CSIC
- Zhang, Yuan
- Aizpurua, Javier
- Esteban, Ruben
We include the dataset corresponding to the figures of the paper "Optomechanical Collective Effects in Surface-Enhanced Raman Scattering from Many Molecules" by Yuan Zhang, Javier Aizpurua, and Ruben Esteban, published in ACS Photonics with DOI: 10.1021/acsphotonics.0c00032. The data presented in each figure were originally generated using self-made codes. The datasets are divided into sub-folders which correspond to each figure in the main text as well as in the supporting information. Each sub-folder is labeled according to the figure number. The datasets are included in text format in the corresponding files (".dat"). Additionally, each sub-folder contains an explanatory text file "Figure[X]Readme.txt" (X for 2,3,..,S1,S2...) with the details of how each data set is organized. Python programs that can be used to reproduce the figures are included in each sub-folder., Peer reviewed
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/342411
Dataset. 2023
RESEARCH DATA SUPPORTING "GIANT OPTOMECHANICAL SPRING EFFECT IN PLASMONIC NANO- AND PICOCAVITIES PROBED BY SURFACE-ENHANCED RAMAN SCATTERING"
Digital.CSIC. Repositorio Institucional del CSIC
- Jakob, Peter
- Deacon, William M.
- Zhang, Yuan
- Nijs, Bart de
- Pavlenko, Elena
- Hu, Shu
- Carnegie, Cloudy
- Neuman, Tomáš
- Esteban, Ruben
- Aizpurua, Javier
- Baumberg, Jeremy J.
This repository contains research data for all figures of the manuscript. This includes optomechanical simulations of plasmonic nanocavities and experimental SERS spectra from both NPoM nanocavities and SPARK picocavities. All data are provided in .txt files, space separated, with columns labelled in first row. The data are organized in folders for each figure, with individual files for each figure panel containing data. All further information is contained in the captions of the manuscript., Engineering and Physical Sciences Research Council (2275079)
EPSRC (2275079)
Engineering and Physical Sciences Research Council (EP/N016920/1)
Engineering and Physical Sciences Research Council (EP/L027151/1)
Engineering and Physical Sciences Research Council (EP/L015978/1)
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), Peer reviewed
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