Evidence map›Paper›PMID 34088667›Full record

ArticleScience advances2021

Anisotropic nanocrystal shape and ligand design for co-assembly.

Katherine C Elbert, William Zygmunt, Thi Vo, Corbin M Vara, Daniel J Rosen, Nadia M Krook, Sharon C Glotzer, Christopher B Murray

Abstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

8 authors.

Katherine C ElbertDepartment of Chemistry, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID http://orcid.org/0000-0001-9019-1506
William ZygmuntDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.ORCID http://orcid.org/0000-0001-6631-3307
Thi VoDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
Corbin M VaraDepartment of Materials Science and Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA.
Daniel J RosenDepartment of Materials Science and Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID http://orcid.org/0000-0003-1463-7363
Nadia M KrookDepartment of Materials Science and Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID http://orcid.org/0000-0003-3308-9040
Sharon C GlotzerDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA. sglotzer@umich.edu.ORCID http://orcid.org/0000-0002-7197-0085
Christopher B MurrayDepartment of Chemistry, University of Pennsylvania, Philadelphia, PA 19104, USA. sglotzer@umich.edu.ORCID http://orcid.org/0000-0002-3491-122X

Funding

NIEHS NIH HHS 27302C0028
6 · The paper itself

Abstract

The use of nanocrystal (NC) building blocks to create metamaterials is a powerful approach to access emergent materials. Given the immense library of materials choices, progress in this area for anisotropic NCs is limited by the lack of co-assembly design principles. Here, we use a rational design approach to guide the co-assembly of two such anisotropic systems. We modulate the removal of geometrical incompatibilities between NCs by tuning the ligand shell, taking advantage of the lock-and-key motifs between emergent shapes of the ligand coating to subvert phase separation. Using a combination of theory, simulation, and experiments, we use our strategy to achieve co-assembly of a binary system of cubes and triangular plates and a secondary system involving two two-dimensional (2D) nanoplates. This theory-guided approach to NC assembly has the potential to direct materials choices for targeted binary co-assembly.

Identifiers

PMID34088667
PMCPMC8177705

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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.