Evidence map›Paper›PMID 34163740›Full record

ArticleChemical science2021

A chemically consistent graph architecture for massive reaction networks applied to solid-electrolyte interphase formation.

Samuel M Blau, Hetal D Patel, Evan Walter Clark Spotte-Smith, Xiaowei Xie, Shyam Dwaraknath, Kristin A Persson

Abstract read
In one paragraph

Article in Chemical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Alternative Algebraic Perspectives on CO/HJournal of chemical information and modeling · 2025
    Article
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  6. Review
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  8. Article
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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

6 authors.

Samuel M BlauEnergy Technologies Area, Lawrence Berkeley National Laboratory Berkeley CA 94720 USA.ORCID https://orcid.org/0000-0003-3132-3032
Hetal D PatelDepartment of Materials Science and Engineering, University of California Berkeley CA 94720 USA.ORCID https://orcid.org/0000-0001-9346-1591
Evan Walter Clark Spotte-SmithDepartment of Materials Science and Engineering, University of California Berkeley CA 94720 USA.ORCID https://orcid.org/0000-0003-1554-197X
Xiaowei XieMaterials Science Division, Lawrence Berkeley National Laboratory Berkeley CA 94720 USA.ORCID https://orcid.org/0000-0001-5618-8768
Shyam DwaraknathMaterials Science Division, Lawrence Berkeley National Laboratory Berkeley CA 94720 USA.ORCID https://orcid.org/0000-0003-0289-2607
Kristin A PerssonDepartment of Materials Science and Engineering, University of California Berkeley CA 94720 USA.ORCID https://orcid.org/0000-0003-2495-5509

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modeling reactivity with chemical reaction networks could yield fundamental mechanistic understanding that would expedite the development of processes and technologies for energy storage, medicine, catalysis, and more. Thus far, reaction networks have been limited in size by chemically inconsistent graph representations of multi-reactant reactions (

Identifiers

PMID34163740
PMCPMC8179555

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.