Evidence map›Paper›PMID 38555303›Full record

ArticleNature communications2024

Autonomous closed-loop mechanistic investigation of molecular electrochemistry via automation.

Hongyuan Sheng, Jingwen Sun, Oliver Rodríguez, Benjamin B Hoar, Weitong Zhang, Danlei Xiang, Tianhua Tang, Avijit Hazra, Daniel S Min, Abigail G Doyle and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Surface Ligands in Nanocrystal Electrocatalysis: A Double-Edged Sword.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
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  13. A Geometric Interpretation of Kinetic Zone Diagrams in Electrochemistry.Journal of the American Chemical Society · 2024
    Article
  14. Article
  15. 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

15 authors.

Hongyuan Sheng *Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA. hsheng7@g.ucla.edu.ORCID http://orcid.org/0000-0002-0494-4418
Jingwen Sun *Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA.ORCID http://orcid.org/0000-0003-3657-7672
Oliver RodríguezDepartment of Chemistry, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.
Benjamin B HoarDepartment of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Weitong ZhangDepartment of Computer Science, University of California, Los Angeles, Los Angeles, CA, 90095, USA.ORCID http://orcid.org/0000-0003-4731-9986
Danlei XiangDepartment of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Tianhua TangDepartment of Chemistry, University of Utah, Salt Lake City, UT, 84112, USA.
Avijit HazraDepartment of Chemistry, University of Utah, Salt Lake City, UT, 84112, USA.ORCID http://orcid.org/0000-0002-1102-8581
Daniel S MinDepartment of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
Abigail G DoyleDepartment of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA.ORCID http://orcid.org/0000-0002-6641-0833
Matthew S SigmanDepartment of Chemistry, University of Utah, Salt Lake City, UT, 84112, USA.ORCID http://orcid.org/0000-0002-5746-8830
Cyrille CostentinUniversité Grenoble Alpes, DCM, CNRS, 38000, Grenoble, France.ORCID http://orcid.org/0000-0002-7098-3132
Quanquan GuDepartment of Computer Science, University of California, Los Angeles, Los Angeles, CA, 90095, USA.ORCID http://orcid.org/0000-0001-9830-793X
Joaquín Rodríguez-LópezDepartment of Chemistry, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.ORCID http://orcid.org/0000-0003-4346-4668
Chong LiuDepartment of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, 90095, USA. chongliu@chem.ucla.edu.ORCID http://orcid.org/0000-0001-5546-3852

Funding

Agence Nationale de la Recherche (French National Research Agency) Labex ARCANE, CBH-EUR-GS, ANR-17-EURE-0003DOE | SC | Basic Energy Sciences (BES) Joint Center for Energy Storage Research (JCESR)National Science Foundation (NSF) CHE-2002158National Science Foundation (NSF) CHE-2102266National Science Foundation (NSF) CHE-2140762
6 · The paper itself

Abstract

Electrochemical research often requires stringent combinations of experimental parameters that are demanding to manually locate. Recent advances in automated instrumentation and machine-learning algorithms unlock the possibility for accelerated studies of electrochemical fundamentals via high-throughput, online decision-making. Here we report an autonomous electrochemical platform that implements an adaptive, closed-loop workflow for mechanistic investigation of molecular electrochemistry. As a proof-of-concept, this platform autonomously identifies and investigates an EC mechanism, an interfacial electron transfer (E step) followed by a solution reaction (C step), for cobalt tetraphenylporphyrin exposed to a library of organohalide electrophiles. The generally applicable workflow accurately discerns the EC mechanism's presence amid negative controls and outliers, adaptively designs desired experimental conditions, and quantitatively extracts kinetic information of the C step spanning over 7 orders of magnitude, from which mechanistic insights into oxidative addition pathways are gained. This work opens opportunities for autonomous mechanistic discoveries in self-driving electrochemistry laboratories without manual intervention.

Identifiers

PMID38555303
PMCPMC10981680

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Registered trials

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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.