Evidence map›Paper›PMID 31214792›Full record

ReviewNanoscale research letters2019

Towards Digital Manufacturing of Smart Multimaterial Fibers.

Camila Faccini de Lima, Louis A van der Elst, Veda Narayana Koraganji, Mengxin Zheng, Merve Gokce Kurtoglu, Alexander Gumennik

Open access · goldAbstract readReview
In one paragraph

Review in Nanoscale research letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
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

7 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
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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

6 authors at 1 institution in 1 country.

Camila Faccini de LimaDepartment of Intelligent Systems Engineering, School of Informatics, Computing and Engineering, Indiana University, 700 North Woodlawn Avenue, Bloomington, Indiana, 47408, USA.
Louis A van der ElstDepartment of Intelligent Systems Engineering, School of Informatics, Computing and Engineering, Indiana University, 700 North Woodlawn Avenue, Bloomington, Indiana, 47408, USA.
Veda Narayana KoraganjiDepartment of Intelligent Systems Engineering, School of Informatics, Computing and Engineering, Indiana University, 700 North Woodlawn Avenue, Bloomington, Indiana, 47408, USA.
Mengxin ZhengDepartment of Intelligent Systems Engineering, School of Informatics, Computing and Engineering, Indiana University, 700 North Woodlawn Avenue, Bloomington, Indiana, 47408, USA.
Merve Gokce KurtogluDepartment of Intelligent Systems Engineering, School of Informatics, Computing and Engineering, Indiana University, 700 North Woodlawn Avenue, Bloomington, Indiana, 47408, USA.
Alexander GumennikDepartment of Intelligent Systems Engineering, School of Informatics, Computing and Engineering, Indiana University, 700 North Woodlawn Avenue, Bloomington, Indiana, 47408, USA. gumennik@iu.edu.
Indiana University Bloomington · US

Funding

Indiana University 22-150-05_LENNO
6 · The paper itself

Abstract

Fibers are ubiquitous and usually passive. Optoelectronics realized in a fiber could revolutionize multiple application areas, including biosynthetic and wearable electronics, environmental sensing, and energy harvesting. However, the realization of high-performance electronics in a fiber remains a demanding challenge due to the elusiveness of a material processing strategy that would allow the wrapping of devices made in crystalline semiconductors, such as silicon, into a fiber in an ordered, addressable, and scalable manner. Current fiber-sensor fabrication approaches either are non-scalable or limit the choice of semiconductors to the amorphous ones, such as chalcogenide glasses, inferior to silicon in their electronic performance, resulting in limited bandwidth and sensitivity of such sensors when compared to a standard silicon photodiode. Our group substantiates a universal in-fiber manufacturing of logic circuits and sensory systems analogous to very large-scale integration (VLSI), which enabled the emergence of the modern microprocessor. We develop a versatile hybrid-fabrication methodology that assembles in-fiber material architectures typical to integrated microelectronic devices and systems in silica, silicon, and high-temperature metals. This methodology, dubbed "VLSI for Fibers," or "VLSI-Fi," combines 3D printing of preforms, a thermal draw of fibers, and post-draw assembly of fiber-embedded integrated devices by means of material-selective spatially coherent capillary breakup of the fiber cores. We believe that this method will deliver a new class of durable, low cost, pervasive fiber devices, and sensors, enabling integration of fabrics met with human-made objects, such as furniture and apparel, into the Internet of Things (IoT). Furthermore, it will boost innovation in 3D printing, extending the digital manufacturing approach into the nanoelectronics realm.

Indexed as

3D printing of glassBiomimetic scaffoldsFiber devicesFluid dynamicsMicrostructuresMultimaterial fibersVLSI

Identifiers

PMID31214792
PMCPMC6582135
OpenAlexW2950068233

What OpenQuestion holds

Textmetadata
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.