2014
DOI: 10.1002/jrs.4538
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Spectrally dispersed femtosecond CARS investigation of vibrational characteristics in ethanol

Abstract: Spectrally dispersed femtosecond time‐resolved coherent anti‐Stokes Raman spectroscopy is applied to study the ultrafast vibrational dynamics in ethanol at room temperature. The anti‐Stokes intensities were monitored as a function of delay time and wavenumber. By simply changing the timing of the laser pulses, the vibrational dynamics between the excited Raman transitions in ethanol molecules can be tracked and detected. Copyright © 2014 John Wiley & Sons, Ltd.

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Cited by 3 publications
(2 citation statements)
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“…Zhao and colleagues probed the vibrational characteristics in ethanol using spectrally dispersed femtosecond CARS. They showed that by changing the timing of the laser pulses, the vibrational dynamics between the excited Raman transitions in ethanol molecules can be tracked and detected …”
Section: Non‐linear Coherent and Time‐resolved Raman Spectroscopymentioning
confidence: 99%
“…Zhao and colleagues probed the vibrational characteristics in ethanol using spectrally dispersed femtosecond CARS. They showed that by changing the timing of the laser pulses, the vibrational dynamics between the excited Raman transitions in ethanol molecules can be tracked and detected …”
Section: Non‐linear Coherent and Time‐resolved Raman Spectroscopymentioning
confidence: 99%
“…In addition, the vibrational motion and energy flow in diacetylene polymers have been probed by coherent anti‐Stokes Raman spectroscopy (CARS), where the analysis of CARS signals provided the time scale of molecular vibration, the nature of coupling to bath modes and dynamics of intermolecular vibrational energy redistribution in diacetylene polymer. The time‐resolved femtosecond CARS (fs‐CARS) technique has been widely utilized as a powerful tool for studying the vibrational dynamics of Raman modes in time domain since 1980s . It is recently applied in single‐molecule sensing by the combination with a plasmonic resonance of nanoparticles …”
Section: Introductionmentioning
confidence: 99%