Evidence map›Paper›PMID 34115497›Full record

ArticleThe journal of physical chemistry. B2021

Field-Dependent Dehydration and Optimal Ionic Escape Paths for C

Miraslau L Barabash, William A T Gibby, Carlo Guardiani, Dmitry G Luchinsky, Binquan Luan, Alex Smolyanitsky, Peter V E McClintock

Open access · hybridAbstract read
In one paragraph

Article in The journal of physical chemistry. B, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 47% of its field
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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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

7 authors at 4 institutions in 3 countries.

Miraslau L BarabashDepartment of Physics, Lancaster University, Lancaster LA1 4YB, United Kingdom.
William A T GibbyDepartment of Physics, Lancaster University, Lancaster LA1 4YB, United Kingdom.ORCID https://orcid.org/0000-0001-5818-7056
Carlo GuardianiDepartment of Physics, Lancaster University, Lancaster LA1 4YB, United Kingdom.
Dmitry G LuchinskyDepartment of Physics, Lancaster University, Lancaster LA1 4YB, United Kingdom.
Binquan LuanComputational Biological Center, IBM Thomas J. Watson Research, Yorktown Heights, New York 10598, United States.ORCID https://orcid.org/0000-0002-9414-5379
Alex SmolyanitskyApplied Chemicals and Materials Division, National Institute of Standards and Technology, Boulder, Colorado 80305, United States.ORCID https://orcid.org/0000-0002-4378-8155
Peter V E McClintockDepartment of Physics, Lancaster University, Lancaster LA1 4YB, United Kingdom.ORCID https://orcid.org/0000-0003-3375-045X
Lancaster University · GBAmes Research Center · USIBM Research - Thomas J. Watson Research Center · USNational Institute of Standards and Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most analytic theories describing electrostatically driven ion transport through water-filled nanopores assume that the corresponding permeation barriers are bias-independent. While this assumption may hold for sufficiently wide pores under infinitely small bias, transport through subnanometer pores under finite bias is difficult to interpret analytically. Given recent advances in subnanometer pore fabrication and the rapid progress in detailed computer simulations, it is important to identify and understand the specific field-induced phenomena arising during ion transport. Here we consider an atomistic model of electrostatically driven ion permeation through subnanoporous C

Identifiers

PMID34115497
PMCPMC8279548
OpenAlexW3171097114

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.