Evidence map›Paper›PMID 37939178›Full record

ArticleScience advances2023

Simultaneous multimaterial operando tomography of electrochemical devices.

Pranay Shrestha, Jacob M LaManna, Kieran F Fahy, Pascal Kim, ChungHyuk Lee, Jason K Lee, Elias Baltic, David L Jacobson, Daniel S Hussey, Aimy Bazylak

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Probing Buried Interfaces in Batteries: TowardChemistry of materials : a publication of the American Chemical Society · 2026
    Review
  2. 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

10 authors.

Pranay ShresthaBazylak Group, Department of Mechanical & Industrial Engineering, Faculty of Applied Science and Engineering, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-9881-1973
Jacob M LaMannaPhysical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA.ORCID 0000-0002-7105-022X
Kieran F FahyBazylak Group, Department of Mechanical & Industrial Engineering, Faculty of Applied Science and Engineering, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-2866-9147
Pascal KimBazylak Group, Department of Mechanical & Industrial Engineering, Faculty of Applied Science and Engineering, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-6623-6452
ChungHyuk LeeBazylak Group, Department of Mechanical & Industrial Engineering, Faculty of Applied Science and Engineering, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-8428-1502
Jason K LeeBazylak Group, Department of Mechanical & Industrial Engineering, Faculty of Applied Science and Engineering, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-1929-0864
Elias BalticPhysical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA.ORCID 0000-0002-6437-4541
David L JacobsonPhysical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA.ORCID 0000-0003-0699-5486
Daniel S HusseyPhysical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA.ORCID 0000-0002-2851-4367
Aimy BazylakBazylak Group, Department of Mechanical & Industrial Engineering, Faculty of Applied Science and Engineering, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-9594-4930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The performance of electrochemical energy devices, such as fuel cells and batteries, is dictated by intricate physiochemical processes within. To better understand and rationally engineer these processes, we need robust operando characterization tools that detect and distinguish multiple interacting components/interfaces in high contrast. Here, we uniquely combine dual-modality tomography (simultaneous neutron and x-ray tomography) and advanced image processing (iterative reconstruction and metal artifact reduction) for high-contrast multimaterial imaging, with signal and contrast enhancements of up to 10 and 48 times, respectively, compared to conventional single-modality imaging. Targeted development and application of these methods to electrochemical devices allow us to resolve operando distributions of six interacting fuel cell components (including void space) with the highest reported pairwise contrast for simultaneous yet decoupled spatiotemporal characterization of component morphology and hydration. Such high-contrast tomography ushers in key gold standards for operando electrochemical characterization, with broader applicability to numerous multimaterial systems.

Identifiers

PMID37939178
PMCPMC10631724

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.