Evidence map›Paper›PMID 38930721›Full record

ArticleMicromachines2024

Hybrid Printing of Conductive Traces from Bulk Metal for Digital Signals in Intelligent Devices.

Zeba Khan, Addythia Saphala, Sabrina Kartmann, Peter Koltay, Roland Zengerle, Oliver Amft, Zhe Shu

Abstract read
In one paragraph

Article in Micromachines, 2024. 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

7 authors.

Zeba KhanLaboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, 79110 Freiburg, Germany.ORCID 0000-0001-7826-0361
Addythia SaphalaIntelligent Embedded Systems Laboratory, Department of Computer Science, University of Freiburg, 79110 Freiburg, Germany.ORCID 0000-0002-9336-0122
Sabrina KartmannLaboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, 79110 Freiburg, Germany.ORCID 0000-0002-6437-1033
Peter KoltayActome GmbH, 79110 Freiburg, Germany.ORCID 0000-0002-9150-5762
Roland ZengerleLaboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, 79110 Freiburg, Germany.ORCID 0000-0001-5348-2216
Oliver AmftIntelligent Embedded Systems Laboratory, Department of Computer Science, University of Freiburg, 79110 Freiburg, Germany.ORCID 0000-0001-6811-3659
Zhe ShuLaboratory for MEMS Applications, IMTEK-Department of Microsystems Engineering, University of Freiburg, 79110 Freiburg, Germany.ORCID 0000-0001-5105-1711

Funding

Bundesministerium für Bildung und Forschung (BMBF) (FederLeicht Lernen Project) 16SV8664German Federation of Industrial Research Associations 21623N
6 · The paper itself

Abstract

In this article, we explore multi-material additive manufacturing (MMAM) for conductive trace printing using molten metal microdroplets on polymer substrates to enhance digital signal transmission. Investigating microdroplet spread informs design rules for adjacent trace printing. We studied the effects of print distance on trace morphology and resolution, noting that printing distance showed almost no change in the printed trace pitch. Crosstalk interference between adjacent signal traces was analyzed across frequencies and validated both experimentally and through simulation; no crosstalk was visible for printed traces at input frequencies below 600 kHz. Moreover, we demonstrate printed trace reliability against thermal shock, whereby no discontinuation in conductive traces was observed. Our findings establish design guidelines for MMAM electronics, advancing digital signal transmission capabilities.

Indexed as

additive manufacturingbulk metaldigital signalsmolten metal microdropletswearables

Identifiers

PMID38930721
PMCPMC11205658

What OpenQuestion holds

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LicenceCC BY
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 OpenQuestion graph.