Unknown

Dataset Information

0

Slow hydrogen-bond switching dynamics at the water surface revealed by theoretical two-dimensional sum-frequency spectroscopy.


ABSTRACT: Using our newly developed explicit three-body (E3B) water model, we simulate the surface of liquid water. We find that the timescale for hydrogen-bond switching dynamics at the surface is about three times slower than that in the bulk. In contrast, with this model rotational dynamics are slightly faster at the surface than in the bulk. We consider vibrational two-dimensional (2D) sum-frequency generation (2DSFG) spectroscopy as a technique for observing hydrogen-bond rearrangement dynamics at the water surface. We calculate the nonlinear susceptibility for this spectroscopy for two different polarization conditions, and in each case we see the appearance of cross-peaks on the timescale of a few picoseconds, signaling hydrogen-bond rearrangement on this timescale. We thus conclude that this 2D spectroscopy will be an excellent experimental technique for observing slow hydrogen-bond switching dynamics at the water surface.

SUBMITTER: Ni Y 

PROVIDER: S-EPMC3568345 | biostudies-literature | 2013 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Slow hydrogen-bond switching dynamics at the water surface revealed by theoretical two-dimensional sum-frequency spectroscopy.

Ni Yicun Y   Gruenbaum Scott M SM   Skinner James L JL  

Proceedings of the National Academy of Sciences of the United States of America 20130117 6


Using our newly developed explicit three-body (E3B) water model, we simulate the surface of liquid water. We find that the timescale for hydrogen-bond switching dynamics at the surface is about three times slower than that in the bulk. In contrast, with this model rotational dynamics are slightly faster at the surface than in the bulk. We consider vibrational two-dimensional (2D) sum-frequency generation (2DSFG) spectroscopy as a technique for observing hydrogen-bond rearrangement dynamics at th  ...[more]

Similar Datasets

| S-EPMC4516311 | biostudies-other
| S-EPMC6235446 | biostudies-literature
| S-EPMC4434775 | biostudies-literature
| S-EPMC4398620 | biostudies-literature
| S-EPMC8256423 | biostudies-literature
| S-EPMC2576356 | biostudies-literature
| S-EPMC5924933 | biostudies-literature
| S-EPMC3910618 | biostudies-literature
| S-EPMC8762667 | biostudies-literature
| S-EPMC6022735 | biostudies-literature