Microscopic mechanisms of deformation transfer in high dynamic range branched nanoparticle deformation sensors.

Shilpa N Raja, Xingchen Ye, Matthew R Jones, Liwei Lin, Sanjay Govindjee, Robert O Ritchie

Open access · goldAbstract read

In one paragraph

Article in Nature communications, 2018. 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

0.3field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

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

6 authors at 4 institutions in 1 country.

Shilpa N RajaMaterials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.

Xingchen YeDepartment of Chemistry, University of California at Berkeley, Berkeley, CA, 94720, USA.

Matthew R JonesDepartment of Chemistry, University of California at Berkeley, Berkeley, CA, 94720, USA.ORCID http://orcid.org/0000-0002-9289-291X

Liwei LinDepartment of Mechanical Engineering, University of California at Berkeley, Berkeley, CA, 94720, USA.

Sanjay GovindjeeDepartment of Civil and Environmental Engineering, University of California at Berkeley, Berkeley, CA, 94720, USA. s_g@berkeley.edu.

Robert O RitchieMaterials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. roritchie@lbl.gov.ORCID http://orcid.org/0000-0002-0501-6998

Lawrence Berkeley National Laboratory · USUniversity of California, Berkeley · USIndiana University Bloomington · USRice University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoscale stress sensing is of crucial importance to biomechanics and other fields. An ideal stress sensor would have a large dynamic range to function in a variety of materials spanning orders of magnitude of local stresses. Here we show that tetrapod quantum dots (tQDs) exhibit excellent sensing versatility with stress-correlated signatures in a multitude of polymers. We further show that tQDs exhibit pressure coefficients, which increase with decreasing polymer stiffness, and vary >3 orders of magnitude. This high dynamic range allows tQDs to sense in matrices spanning >4 orders of magnitude in Young's modulus, ranging from compliant biological levels (~100 kPa) to stiffer structural polymers (~5 GPa). We use ligand exchange to tune filler-matrix interfaces, revealing that inverse sensor response scaling is maintained upon significant changes to polymer-tQD interface chemistry. We quantify and explore mechanisms of polymer-tQD strain transfer. An analytical model based on Mori-Tanaka theory presents agreement with observed trends.

Identifiers

PMID29559619

DOI10.1038/s41467-018-03396-5

PMCPMC5861061

OpenAlexW2793798957

What OpenQuestion holds

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LicenceCC BY

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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.