Evidence map›Paper›PMID 38572661›Full record

ArticleThe journal of physical chemistry. B2024

Effect of K

Amey Thorat, Rohit Chauhan, Rohan Sartape, Meenesh R Singh, Jindal K Shah

Open access · hybridAbstract read
In one paragraph

Article in The journal of physical chemistry. B, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Lessons Learned on Obtaining Reliable Conductivity Estimates From Molecular Dynamics Simulations.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026
    Article
  3. Article
  4. Ionic Liquid-Enhanced Interfaces to Boost Reactive COThe journal of physical chemistry. B · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. 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

5 authors at 2 institutions in 1 country.

Amey ThoratSchool of Chemical Engineering, Oklahoma State University, Stillwater, Oklahoma 74078, United States.
Rohit ChauhanDepartment of Chemical Engineering, University of Illinois at Chicago, Chicago, Illinois 60608, United States.
Rohan SartapeDepartment of Chemical Engineering, University of Illinois at Chicago, Chicago, Illinois 60608, United States.
Meenesh R SinghDepartment of Chemical Engineering, University of Illinois at Chicago, Chicago, Illinois 60608, United States.ORCID 0000-0002-3638-8866
Jindal K ShahSchool of Chemical Engineering, Oklahoma State University, Stillwater, Oklahoma 74078, United States.ORCID 0000-0002-3838-6266
University of Illinois Chicago · USOklahoma State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predicting ionic conductivity is crucial for developing efficient electrolytes for energy storage and conversion and other electrochemical applications. An accurate estimate of ionic conductivity requires understanding complex ion-ion and ion-solvent interactions governing the charge transport at the molecular level. Molecular simulations can provide key insights into the spatial and temporal behavior of electrolyte constituents. However, such insights depend on the ability of force fields to describe the underlying phenomena. In this work, molecular dynamics simulations were leveraged to delineate the impact of force field parameters on ionic conductivity predictions of potassium hydroxide (KOH) in ethylene glycol (EG). Four different force fields were used to represent the K

Identifiers

PMID38572661
PMCPMC11033864
OpenAlexW4393941190

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.