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Molecular Optomechanics Approach to Surface-Enhanced Raman Scattering
- Publication Year :
- 2022
-
Abstract
- [EN] CONSPECTUS: Molecular vibrations constitute one of the smallest mechanical oscillators available for micro-/nanoengineering. The energy and strength of molecular oscillations depend delicately on the attached specific functional groups as well as on the chemical and physical environments. By exploiting the inelastic interaction of molecules with optical photons, Raman scattering can access the information contained in molecular vibrations. However, the low efficiency of the Raman process typically allows only for characterizing large numbers of molecules. To circumvent this limitation, plasmonic resonances supported by metallic nanostructures and nanocavities can be used because they localize and enhance light at optical frequencies, enabling surface-enhanced Raman scattering (SERS), where the Raman signal is increased by many orders of magnitude. This enhancement enables few- or even single-molecule characterization. The coupling between a single molecular vibration and a plasmonic mode constitutes an example of an optomechanical interaction, analogous to that existing between cavity photons and mechanical vibrations. Optomechanical systems have been intensely studied because of their fundamental interest as well as their application in practical implementations of quantum technology and sensing. In this context, SERS brings cavity optomechanics down to the molecular scale and gives access to larger vibrational frequencies associated with molecular motion, offering new possibilities for novel optomechanical nanodevices. The molecular optomechanics description of SERS is recent, and its implications have only started to be explored. In this Account, we describe the current understanding and progress of this new description of SERS, focusing on our own contributions to the field. We first show that the quantum description of molecular optomechanics is fully consistent with standard classical and semiclassical models often used to describe SERS. Furthermore, we n
Details
- Database :
- OAIster
- Notes :
- We thank Mikołaj K. Schmidt, Tomáš Neuman, Yuan Zhang, and Felix Benz for input and discussions. We also are grateful for financial support from FET-Open project no. 829067 (THOR), ERC grant no. 883703 (PICOFORCE), grant PID2019- 107432GB-I00 funded by MCIN/AEI/10.13039/ 501100011033/, and grant no. IT 1526-22 from the Basque Government for consolidated groups of the Basque University., English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1346952057
- Document Type :
- Electronic Resource