Evidence map›Paper›PMID 37854852›Full record

ArticleACS applied nano materials2023

Multiobjective Optimization of Silver-Nanowire Deposition for Flexible Transparent Conducting Electrodes.

Mark Lee, Robert T Piper, Bishal Bhandari, Julia W P Hsu

Abstract read
In one paragraph

Article in ACS applied nano materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Mark LeeDepartment of Physics, University of Texas at Dallas, Richardson, Texas 75080, United States.ORCID https://orcid.org/0000-0001-6541-8465
Robert T PiperDepartment of Materials Science and Engineering, University of Texas at Dallas, Richardson, Texas 75080, United States.ORCID https://orcid.org/0000-0002-4032-0602
Bishal BhandariDepartment of Physics, University of Texas at Dallas, Richardson, Texas 75080, United States.ORCID https://orcid.org/0009-0007-3915-6263
Julia W P HsuDepartment of Materials Science and Engineering, University of Texas at Dallas, Richardson, Texas 75080, United States.ORCID https://orcid.org/0000-0002-7821-3001

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimizing the spin coating of silver nanowires to form transparent conducting electrodes (TCE) is guided by machine learning (ML). A good TCE has two competing characteristics: high transmittance and high conductance. Optimization using a scalar figure of merit, as often done in the field, cannot satisfy the independent requirements for transmittance and conductance imposed by specific applications. By performing a Pareto front analysis based on ML models, we show that the desired outcomes of transmittance ≥ 75% and sheet resistance ≤ 15 Ω/sq are challenging but can be achieved using processing parameters identified by ML analysis.

Identifiers

PMID37854852
PMCPMC10580235

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.