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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
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 . 2022
License: CC BY
Data sources: Datacite
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Claim

Imaging the Breaking of Electrostatic Dams in Graphene for Ballistic and Viscous Fluids

Research datakeyboard_double_arrow_right Dataset 11 Nov 2022 English Publisher:Zenodo
Authors: Krebs, Zachary J.; Behn, Wyatt A.; Songci Li; Smith, Keenan J.; Watanabe, Kenji; Taniguchi, Takashi; Levchenko, Alex; +1 Authors

doi: 10.5281/zenodo.7314592 , 10.5281/zenodo.7314591

Imaging the Breaking of Electrostatic Dams in Graphene for Ballistic and Viscous Fluids

Abstract

These datasets can be used to reproduce the experimental and theoretical results in the manuscript "Imaging the Breaking of Electrostatic Dams in Graphene for Ballistic and Viscous Fluids," and corresponding supplementary material. "STP-measurement1" and "STP-measurement2" contain the raw scanning tunneling potentiometry (STP) data used to generate Figures 1-4 in the main text and Figures S2-5 in the supplement. Each ".dat" file contains the tunneling I-V curve used to solve for the electrochemical potential at a single pixel in each STP dataset. "Estimation of c_G.nb" contains the raw Mathematica code to generate Figure 5 in the main text and Figures S7-8 in the supplement. "device-resistance_gate-sweep_T=4.5K.txt" and "device-resistance_gate-sweep_T=77K.txt" can be used to reproduce Figure S1 in the supplement.

Related Organizations
Keywords

Scanning tunneling potentiometry, Hydrodynamics, Graphene

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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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