Evidence map›Paper›PMID 33571118›Full record

ArticleScience advances2021

Anisotropic electrostatic screening of charged colloids in nematic solvents.

Jeffrey C Everts, Bohdan Senyuk, Haridas Mundoor, Miha Ravnik, Ivan I Smalyukh

Abstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jeffrey C EvertsFaculty of Mathematics and Physics, University of Ljubljana, Jadranska 19, 1000 Ljubljana, Slovenia.ORCID http://orcid.org/0000-0001-6289-3252
Bohdan SenyukDepartment of Physics and Soft Materials Research Center, University of Colorado, Boulder, CO 80309, USA.ORCID http://orcid.org/0000-0002-0004-3161
Haridas MundoorDepartment of Physics and Soft Materials Research Center, University of Colorado, Boulder, CO 80309, USA.ORCID http://orcid.org/0000-0001-6589-6475
Miha RavnikFaculty of Mathematics and Physics, University of Ljubljana, Jadranska 19, 1000 Ljubljana, Slovenia. miha.ravnik@fmf.uni-lj.si ivan.smalyukh@colorado.edu.ORCID http://orcid.org/0000-0001-8883-9318
Ivan I SmalyukhDepartment of Physics and Soft Materials Research Center, University of Colorado, Boulder, CO 80309, USA. miha.ravnik@fmf.uni-lj.si ivan.smalyukh@colorado.edu.ORCID http://orcid.org/0000-0003-3444-1966

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The physical behavior of anisotropic charged colloids is determined by their material dielectric anisotropy, affecting colloidal self-assembly, biological function, and even out-of-equilibrium behavior. However, little is known about anisotropic electrostatic screening, which underlies all electrostatic effective interactions in such soft or biological materials. In this work, we demonstrate anisotropic electrostatic screening for charged colloidal particles in a nematic electrolyte. We show that material anisotropy behaves markedly different from particle anisotropy. The electrostatic potential and pair interactions decay with an anisotropic Debye screening length, contrasting the constant screening length for isotropic electrolytes. Charged dumpling-shaped near-spherical colloidal particles in a nematic medium are used as an experimental model system to explore the effects of anisotropic screening, demonstrating competing anisotropic elastic and electrostatic effective pair interactions for colloidal surface charges tunable from neutral to high, yielding particle-separated metastable states. Generally, our work contributes to the understanding of electrostatic screening in nematic anisotropic media.

Identifiers

PMID33571118
PMCPMC7840135

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.