| Thanks for your time, dr Zikuan Wang. |
Sakib 发表于 2022-9-15 15:51 As I said, either you calculate the IR spectra of all important conformers and take the Boltzmann average, or you use programs like TRAVIS to extract the IR spectrum from an MD trajectory instead. Either method will give you a spectrum where all peaks are broadened to a proper degree. I don't know enough about TRAVIS to answer your second calculation. But I guess that even if you cannot directly analyze your trajectory with TRAVIS, there may be some way to convert the trajectory to the correct format so that TRAVIS can recognize it. |
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Thanks for your reply. I understand your explanation but if still want to broaden the peak what should I need to take into consideration? given that the computed spectra are extracted from gas phase calculation. Another thing is I have already simulated this complex. Can I analyze the trajectory with Travis? to get the IR spectra via the trajectory xtc file? |
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The IR peak widths are primarily determined by (1) the natural width (determined by the lifetime of the vibrational excited state), (2) the presence of many different conformers/aggregates whose IR signals are slightly different and sum to a wider peak than each of the individual peaks, and (3) solvation effects. (3) is a special case of (2) since a solution is nothing but an aggregate of the solute and a lot of solvent molecules. The broadening functionality of GaussView primarily models (1), that's why the peaks are very narrow by default and do not reflect the experimental differences of peak widths. To quantitatively reproduce the experimental widths, you have to account for (2) and (3), which can be done by either (a) calculating the IR spectra of all important conformers of your molecule and Boltzmann-average them, or (b) do an MD simulation and extract the IR spectrum from the autocorrelation function (https://brehm-research.de/spectroscopy.php). Nevertheless, for studies that only involve IR peak positions but not the peak widths, it is usually acceptable to not reproduce the experimental peak widths. If your study does not rely on the peak widths at all, then you can simply move on. |
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