The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Ab Initio Molecular Dynamics Computation of the Infrared Spectrum of Aqueous Uracil
Abstract
Recent progress in the development of ab initio molecular dynamics methods for the computation of infrared absorption spectra in condensed molecular systems is reviewed and illustrated by a detailed account of an application to aqueous uracil. Similar to classical force field simulations, the spectrum is obtained as the Fourier transform of the polarization time autocorrelation function. The density functional methodology for the computation of electronic polarization in periodic supercells is briefly outlined, and also the effect of quantum corrections is discussed. The spectral patterns obtained for the model system in the 2000−1000 cm -1 domain are in good agreement with experiment. Comparing to the low-temperature vacuum spectrum computed by similar time-dependent methods, we found that the narrow amide bending band in a vacuum is spread out over a 500 cm -1 wide interval in solution with a substantially blue-shifted high-frequency end. The highest increase in frequency was found for N1−H1 bending. The red shift and broadening of C O stretching bands is, in comparison, a much smaller effect.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Lee, C., Yang, W., & Parr, R. G. (1988) · Physical Review B · doi:10.1103/physrevb.37.785 · Cited by 100,874
Cited by
Maximally localized Wannier functions: Theory and applications
Marzari, N., Mostofi, A. A., Yates, J. R., Souza, I., & Vanderbilt, D. (2012) · Reviews of Modern Physics · doi:10.1103/revmodphys.84.1419 · Cited by 3,283
Sulpizi, M., Gaigeot, M.-P., & Sprik, M. (2012) · Journal of Chemical Theory and Computation · doi:10.1021/ct2007154 · Cited by 466
Self-citation
Metadata
- Authors
- Gaigeot, M.-P., & Sprik, M.
- Venue
- The Journal of Physical Chemistry B
- Publisher
- American Chemical Society (ACS)
- Published
- 2003-08-21
- Volume
- 107
- Issue
- 38
- Pages
- 10344-10358
- ISSN
- 1520-5207 (ISSN-L)
- 1520-6106
- OpenAlex
- W2072763333
- Cited by
- 284
- References
- 1
- FWCI
- 8.43
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Ab Initio Molecular Dynamics Computation of the Infrared Spectrum of Aqueous Uracil. https://app.cochat.ai/papers/10.1021/jp034788u
- The paper
- Gaigeot, M.-P., & Sprik, M. (2003). Ab Initio Molecular Dynamics Computation of the Infrared Spectrum of Aqueous Uracil. The Journal of Physical Chemistry B. https://doi.org/10.1021/jp034788u
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.