ArticleScientific reports2023
Optimization of process parameters in micro-scale pneumatic aerosol jet printing for high-yield precise electrodes.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Aerosol Jet Printed Ion-Selective Electrodes for Potassium Detection.Sensors (Basel, Switzerland) · 2026Article
- Functional Nanomaterials and Nanocomposites for High-Performance Printed Biosensors.Sensors (Basel, Switzerland) · 2026Review
- Unconventional bioprinting modalities for advanced tissue biofabrication.Biomaterials · 2026Review
- Direct-Write Printing for Flexible and 3D Electronics: Aerosol Jet vs. Micro Dispensing.Micromachines · 2025Article
- Aerosol Printing of 3D Conductive Microstructures via Precision Dot Modulation.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Aerosol Jet Printing for Neuroprosthetic Device Development.Bioengineering (Basel, Switzerland) · 2025Review
- Optimization of process parameters in 3D-nanomaterials printing for enhanced uniformity, quality, and dimensional precision using physics-guided artificial neural network.Discover nano · 2024Article
- Review
- Machine learning enables electrical resistivity modeling of printed lines in aerosol jet 3D printing.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Aerosol jet printing (AJP) is a new non-contact direct writing technique designed to achieve precise and intricate patterns on various substrates. Specifically, the pneumatic AJP process breaks down the ink into fine particles, significantly reducing the risk of nozzle clogging and rendering it highly advantageous for industrial applications. This paper focuses on the optimization of the line electrode formation process using soluble silver clusters as the conductive ink, along with the aerosol formation procedure. The main parameters of the AJP process, namely sheath flow rate, atomizer flow rate, and dispensing speed, were identified and examined for their influence on line width and resistivity. Through this analysis, an operability window, including optimized conditions for printing high-quality lines using the AJP process, was established, along with a regression equation enabling the statistical estimation of line width. In summary, the outcomes of this investigation underscore the feasibility of an integrated printing system capable of precision control over line width, achieved through the optimization of AJP process parameters. Furthermore, it was established that pneumatic AJP offers robust process stability. The practical applicability of the proposed optimization techniques was assessed, highlighting their potential utilization in electrode formation processes within the electronic and display industry.
Identifiers
What OpenQuestion holds
Registered trials
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.