Evidence map›Paper›PMID 35912355›Full record

ReviewACS central science2022

Toward Bottom-Up Understanding of Transport in Concentrated Battery Electrolytes.

Aashutosh Mistry, Zhou Yu, Brandon L Peters, Chao Fang, Rui Wang, Larry A Curtiss, Nitash P Balsara, Lei Cheng, Venkat Srinivasan

Abstract readReview
In one paragraph

Review in ACS central science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. ACS central science · 2024
    Article
  3. Article
  4. Review
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

9 authors.

Aashutosh MistryChemical Sciences and Engineering, Argonne National Laboratory, Lemont, Illinois 60439, United States.ORCID https://orcid.org/0000-0002-4359-4975
Zhou YuJoint Center for Energy Storage Research, Argonne National Laboratory, Lemont, Illinois 60439, United States.ORCID https://orcid.org/0000-0003-3316-4979
Brandon L PetersJoint Center for Energy Storage Research, Argonne National Laboratory, Lemont, Illinois 60439, United States.
Chao FangDepartment of Chemical and Biomolecular Engineering, University of California Berkeley, Berkeley, California 94720, United States.ORCID https://orcid.org/0000-0002-6207-0819
Rui WangDepartment of Chemical and Biomolecular Engineering, University of California Berkeley, Berkeley, California 94720, United States.ORCID https://orcid.org/0000-0002-4058-9521
Larry A CurtissJoint Center for Energy Storage Research, Argonne National Laboratory, Lemont, Illinois 60439, United States.ORCID https://orcid.org/0000-0001-8855-8006
Nitash P BalsaraDepartment of Chemical and Biomolecular Engineering, University of California Berkeley, Berkeley, California 94720, United States.ORCID https://orcid.org/0000-0002-0106-5565
Lei ChengJoint Center for Energy Storage Research, Argonne National Laboratory, Lemont, Illinois 60439, United States.ORCID https://orcid.org/0000-0002-3902-1680
Venkat SrinivasanChemical Sciences and Engineering, Argonne National Laboratory, Lemont, Illinois 60439, United States.ORCID https://orcid.org/0000-0002-1248-5952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bottom-up understanding of transport describes how molecular changes alter species concentrations and electrolyte voltage drops in operating batteries. Such an understanding is essential to predictively design electrolytes for desired transport behavior. We herein advocate building a structure-property-performance relationship as a systematic approach to accurate bottom-up understanding. To ensure generalization across salt concentrations as well as different electrolyte types and cell configurations, the property-performance relation must be described using Newman's concentrated solution theory. It uses Stefan-Maxwell diffusivity,

Identifiers

PMID35912355
PMCPMC9335914

What OpenQuestion holds

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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.