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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
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 . 2023
License: CC BY
Data sources: Datacite
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Data for Structural Features of Interfacial Water Predict the Hydrophobicity of Chemically Heterogeneous Surfaces

Research datakeyboard_double_arrow_right Dataset 11 Jan 2023Publisher:Zenodo
Authors: Dallin, Bradley C.; Kelkar, Atharva S.; Van Lehn, Reid C.;

doi: 10.5281/zenodo.7526254 , 10.5281/zenodo.7526253

Data for Structural Features of Interfacial Water Predict the Hydrophobicity of Chemically Heterogeneous Surfaces

Abstract

This work was supported by the National Science Foundation under grant number MCB-1817292 and grant number DMR-2044997. This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI-1548562. R. C. V. also acknowledges support from the 3M Non-Tenured Faculty Award.

Scripts, raw and processed data, Jupyter notebooks, and force field files for the simulations performed in: B. C. Dallin, A. S. Kelkar, and R. C. Van Lehn. “Structural Features of Interfacial Water Predict the Hydrophobicity of Chemically Heterogeneous Surfaces.” Chemical Science 2023.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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