Evidence map›Paper›PMID 33923974›Full record

ArticleNanomaterials (Basel, Switzerland)2021

Nanoimprint Replication of Biomimetic, Multilevel Undercut Nanostructures.

Michael Muehlberger, Stephan Ruttloff, Dieter Nees, Amiya Moharana, Maria R Belegratis, Philipp Taus, Sonja Kopp, Heinz D Wanzenboeck, Adrian Prinz, Daniel Fechtig

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Michael MuehlbergerProfactor GmbH, Im Stadtgut D1, 4407 Steyr, Austria.ORCID 0000-0001-7542-8552
Stephan RuttloffJOANNEUM RESEARCH Forschungsgesellschaft mbH, 8160 Weiz, Austria.
Dieter NeesJOANNEUM RESEARCH Forschungsgesellschaft mbH, 8160 Weiz, Austria.
Amiya MoharanaProfactor GmbH, Im Stadtgut D1, 4407 Steyr, Austria.
Maria R BelegratisJOANNEUM RESEARCH Forschungsgesellschaft mbH, 8160 Weiz, Austria.
Philipp TausInstitute for Solid State Electronics, TU Wien, 1040 Vienna, Austria.
Sonja KoppProfactor GmbH, Im Stadtgut D1, 4407 Steyr, Austria.
Heinz D WanzenboeckInstitute for Solid State Electronics, TU Wien, 1040 Vienna, Austria.
Adrian PrinzStratec Consumables GmbH, 5081 Anif, Austria.
Daniel FechtigProfactor GmbH, Im Stadtgut D1, 4407 Steyr, Austria.

Funding

Österreichische Forschungsförderungsgesellschaft 843639
6 · The paper itself

Abstract

The nanoimprint replication of biomimetic nanostructures can be interesting for a wide range of applications. We demonstrate the process chain for Morpho-blue-inspired nanostructures, which are especially challenging for the nanoimprint process, since they consist of multilayer undercut structures, which typically cannot be replicated using nanoimprint lithography. To achieve this, we used a specially made, proprietary imprint material to firstly allow successful stamp fabrication from an undercut master structure, and secondly to enable UV-based nanoimprinting using the same material. Nanoimprinting was performed on polymer substrates with stamps on polymer backplanes to be compatible with roller-based imprinting processes. We started with single layer undercut structures to finally show that it is possible to successfully replicate a multilayer undercut stamp from a multilayer undercut master and use this stamp to obtain multilayer undercut nanoimprinted samples.

Indexed as

biomimeticsmorpho butterflynanoimprint lithographyUV-NIL

Identifiers

PMID33923974
PMCPMC8073577

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.