Evidence map›Paper›PMID 39349533›Full record

ArticleScientific reports2024

3D printed optimized electrodes for electrochemical flow reactors.

Jonathan T Davis, Buddhinie S Jayathilake, Swetha Chandrasekaran, Jonathan J Wong, Joshua R Deotte, Sarah E Baker, Victor A Beck, Eric B Duoss, Marcus A Worsley, Tiras Y Lin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

10 authors.

Jonathan T DavisLawrence Livermore National Laboratory, Livermore, CA, 94550, USA.
Buddhinie S JayathilakeLawrence Livermore National Laboratory, Livermore, CA, 94550, USA.
Swetha ChandrasekaranLawrence Livermore National Laboratory, Livermore, CA, 94550, USA.
Jonathan J WongLawrence Livermore National Laboratory, Livermore, CA, 94550, USA.
Joshua R DeotteLawrence Livermore National Laboratory, Livermore, CA, 94550, USA.
Sarah E BakerLawrence Livermore National Laboratory, Livermore, CA, 94550, USA.
Victor A BeckLawrence Livermore National Laboratory, Livermore, CA, 94550, USA.
Eric B DuossLawrence Livermore National Laboratory, Livermore, CA, 94550, USA.
Marcus A WorsleyLawrence Livermore National Laboratory, Livermore, CA, 94550, USA.
Tiras Y LinLawrence Livermore National Laboratory, Livermore, CA, 94550, USA. lin46@llnl.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in 3D printing have enabled the manufacture of porous electrodes which cannot be machined using traditional methods. With micron-scale precision, the pore structure of an electrode can now be designed for optimal energy efficiency, and a 3D printed electrode is not limited to a single uniform porosity. As these electrodes scale in size, however, the total number of possible pore designs can be intractable; choosing an appropriate pore distribution manually can be a complex task. To address this challenge, we adopt an inverse design approach. Using physics-based models, the electrode structure is optimized to minimize power losses in a flow reactor. The computer-generated structure is then printed and benchmarked against homogeneous porosity electrodes. We show how an optimized electrode decreases the power requirements by 16% compared to the best-case homogeneous porosity. Future work could apply this approach to flow batteries, electrolyzers, and fuel cells to accelerate their design and implementation.

Indexed as

3D PrintingElectrochemical reactorsFlow batteriesInverse designOptimized electrodesPorous electrodes

Identifiers

PMID39349533
PMCPMC11443137

What OpenQuestion holds

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LicenceCC BY
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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.