Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 233

The DOI matches its Crossref record.

Tuning the Work Function of Gold with Self-Assembled Monolayers Derived from X−[C6H4−C⋮C−]nC6H4−SH (n = 0, 1, 2; X = H, F, CH3, CF3, and OCH3)

Zehner, Robert W., Parsons, Bradley F., Hsung, Richard P., Sita, Lawrence R.·1999·Langmuir

Abstract

Changes in the work function of gold, ΔΦ Au, induced by the formation of chemisorbed self-assembled monolayers derived from the series of titled arenethiol adsorbates X − (C 6 H 4 − C⋮C−) n C 6 H 4 −SH ( 1, n = 0; 2, n = 1; 3, n = 2) have been measured by the Kelvin probe method. An analysis of these data indicates that variation in work function for a given chain length can be effectively modeled with two dipole sheets, as has been shown for other classes of self-assembled monolayers. Importantly, it is shown that monolayers of class 1 produce larger relative changes in work function for a given substituent X than those of either 2 or 3, presumably as a result of the larger polarizability of the longer chains present in the latter. Accordingly, these commercially available adsorbates are attractive for use in device applications requiring work function modification.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/la981114f

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

See all 233

Metadata

Authors
Zehner, R. W., Parsons, B. F., Hsung, R. P., & Sita, L. R.
Venue
Langmuir
Published
1999-01-09
Volume
15
Issue
4
Pages
1121-1127
ISSN
  • 0743-7463 (ISSN-L)
  • 1520-5827
OpenAlex
W2002300218
Cited by
233
References
0
FWCI
10.68
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: Tuning the Work Function of Gold with Self-Assembled Monolayers Derived from X−[C6H4−C⋮C−]nC6H4−SH (n = 0, 1, 2; X = H, F, CH3, CF3, and OCH3). https://app.cochat.ai/papers/10.1021/la981114f
The paper
Zehner, R. W., Parsons, B. F., Hsung, R. P., & Sita, L. R. (1999). Tuning the Work Function of Gold with Self-Assembled Monolayers Derived from X−[C6H4−C⋮C−]nC6H4−SH (n = 0, 1, 2; X = H, F, CH3, CF3, and OCH3). Langmuir. https://doi.org/10.1021/la981114f

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.