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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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Determination and Evaluation of the Non-Additivity in Wetting of Molecularly Heterogeneous Surfaces

Authors: Luo, Zhi; Murello, Anna; Wilkins, David M.; Kovacik, Filip; Kohlbrecher, Joachim; Radulescu, Aurel; Okur, Halil I.; +4 Authors

Determination and Evaluation of the Non-Additivity in Wetting of Molecularly Heterogeneous Surfaces

Abstract

All the data relevant to the paper "Determination and Evaluation of the Non-Additivity in Wetting of Molecularly Heterogeneous Surfaces" (PNAS, 2019) are available here. The details about the data collection and analysis are available in the paper. The data are divided into two zipped folders: one of them contains all the experimental data (experiments.zip) and the other one all the files related to the molecular dynamics simulations (MD.zip). Each of the two folders contains a README.txt file, with details about the folder and its structure.

{"references": ["Luo et al., Determination and Evaluation of the Non-Additivity in Wetting of Molecularly Heterogeneous Surfaces, PNAS, in press"]}

Keywords

wetting, nanostructured, hydrophobic, hydration

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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