2021
DOI: 10.1021/acs.jpcb.1c04960
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Dynamics of Ionic Liquid through Intrinsic Vibrational Probes Using the Dispersion-Corrected DFT Functionals

Abstract: First principles molecular dynamics simulations have been utilized to study the spectral properties of the protic ionic liquid, methylammonium formate (MAF). All simulations were performed using density functional theory (DFT) and various van der Waals-corrected exchange–correlation functionals. We calculated the vibrational stretch frequency distributions, determined the time–frequency correlations of the intrinsic vibrational probes, the N–H and C–O modes in MAF, and the frequency–structure correlations. We … Show more

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Cited by 11 publications
(20 citation statements)
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References 125 publications
(241 reference statements)
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“…With time evolution, as the local environment surrounding the probe fluctuates and the frequency of the vibrational chromophore changes. Due to their varied structural configurations and differential interactions within the IL ions, the probe gives rise to the vibrational frequency change with time, referred to as spectral diffusion. ,,,,, We determine the frequency–frequency autocorrelation function (FFCF), C ω ( t ), using the following relation In the above expression, δω­( t ) yields the shift in instantaneous frequency from the average frequency value. At an initial instant of time t = 0, the probe possesses an initial frequency ω(0).…”
Section: Resultsmentioning
confidence: 99%
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“…With time evolution, as the local environment surrounding the probe fluctuates and the frequency of the vibrational chromophore changes. Due to their varied structural configurations and differential interactions within the IL ions, the probe gives rise to the vibrational frequency change with time, referred to as spectral diffusion. ,,,,, We determine the frequency–frequency autocorrelation function (FFCF), C ω ( t ), using the following relation In the above expression, δω­( t ) yields the shift in instantaneous frequency from the average frequency value. At an initial instant of time t = 0, the probe possesses an initial frequency ω(0).…”
Section: Resultsmentioning
confidence: 99%
“…We applied the Grossman–Morlet wavelet , analysis for the calculation of instantaneous vibrational frequency. The application of this method can be found in earlier literature employing first-principle molecular dynamics simulations. Our recent reports also present a detailed discussion on the WTCT method employing classical molecular dynamics simulations. …”
Section: Computational Methodologymentioning
confidence: 99%
“…The structural and spectral results computed in this study are not expected to be affected by the finite-size effects and systematic errors. Also, on the basis of previous proceedings, we assume the simulation size adequate to satisfactorily determine the local response of the intrinsic vibrational N–H probes.…”
Section: Computational Methodologymentioning
confidence: 99%
“…The time-frequency representations impart spectral information, automatically adjusting the time window size to the frequency of oscillations, providing a better time localization. , Fourier transform of the time domain data generates the instantaneous vibrational frequencies extracted at each time frame. Differential site-specific interactions of the probe with the surrounding local environment result in the probe frequency randomization with time, referred to as vibrational spectral diffusion. ,, , Previously, the wavelet-based frequency calculations were successfully applied to examine spectral diffusion dynamics in pure water, , ionic mixtures, ,, aqueous electrolytic solutions, solutions of neutral molecular entities, , interfaces, confined water, and aqueous solutions of peptides and proteins. , The time-series wavelet method , generates the fluctuating frequencies based on the variable functions of the associated N–H bond vector derived from the FPMD simulation trajectory. Wavelet analysis , computes the probe stretching frequencies utilizing the instantaneous distance fluctuations and relevant momentum of the corresponding N–H bond vector.…”
Section: Computational Methodologymentioning
confidence: 99%
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