Construction and Demonstration of a 6-18 GHz Microwave Three-Wave Mixing Experiment using Multiple Synchronized Arbitrary Waveform Generators
Abstract
This manuscript details the construction and demonstration of the first known microwave three-wave mixing (M3WM) experiment utilizing multiple arbitrary waveform generators (AWGs) completely operable in the 6-18 GHz frequency range for use in chirality determination and quantification. Many M3WM techniques, which involve two orthogonal, subsequent Rabi π/2 and π microwave pulses, suffer from flexibility in pulse types and timings as well as frequency due to most instruments only using one, one-channel AWG and the M3WM probability decreasing with an increasing quantum number, J. In this work, we presented an M3WM instrument that allows that flexibility by introducing multiple, synchronized AWGs and adheres to the high probability transition loop pathways in carvone. The functionality and reliability of the instrument were demonstrated using a series of experiments and mixtures of the R and S enantiomers and determined to be of similar accuracy to other reported M3WM setups with the additional benefit of flexibility in pulsing schemes.
Recommended Citation
N. T. Moon et al., "Construction and Demonstration of a 6-18 GHz Microwave Three-Wave Mixing Experiment using Multiple Synchronized Arbitrary Waveform Generators," Symmetry, vol. 14, no. 5, article no. 848, MDPI, May 2022.
The definitive version is available at https://doi.org/10.3390/sym14050848
Department(s)
Chemistry
Keywords and Phrases
Carvone; Chirality Determination; Microwave Three-Wave Mixing
International Standard Serial Number (ISSN)
2073-8994
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2022 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 May 2022
Comments
This material is based upon work supported by the National Science Foundation under Grant no. CHE-MRI-2019072.