Evidence map›Paper›PMID 40896747›Full record

ArticleChemistry of materials : a publication of the American Chemical Society2025

Graph Representations of Nanostructured Hedgehog Particles with Variable Complexity.

Douglas G Montjoy, Harrison Hou, Drew A Vecchio, Elizabeth A K Wilson, Joong Hwan Bahng, Aydin Eskafi, Nicholas A Kotov

Abstract read
In one paragraph

Article in Chemistry of materials : a publication of the American Chemical Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

Douglas G MontjoyDepartment of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States.
Harrison HouDepartment of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States.
Drew A VecchioDepartment of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States.ORCID https://orcid.org/0000-0002-2381-9356
Elizabeth A K WilsonDepartment of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States.ORCID https://orcid.org/0000-0002-5153-6505
Joong Hwan BahngDepartment of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States.
Aydin EskafiDepartment of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States.
Nicholas A KotovDepartment of Chemical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States.ORCID https://orcid.org/0000-0002-6864-5804

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graph-theoretical (GT) representations, conceptually analogous to chemical formulas, offer a powerful and versatile framework for describing the structure of nanomaterialsincluding complex assemblies with nano-, meso-, and microscale organization. GT formulas of nanostructures can capture repetitive structural patterns that combine both order and disorder needed to attain the desired combination of properties. These repetitive structural patterns are extracted from microscopy, spectroscopy, and diffractometry. However, methods for constructing GT models of complex particles with diverse geometries and architectures remain underdeveloped, as do approaches linking graph features to material properties. In this work, we address these gaps using hedgehog particles (HPs)nanostructured colloids characterized by halos of rigid nanospikesas model complex particles. HPs were synthesized with a spectrum of solid/hollow cores and spikes and multiple materials, which enabled systematic variation of their structural patterns. We detail the process of building the GT models, accounting for multiple structural elements, chemical phases, and interfaces between them. Consistent GT elements (subgraphs) are assigned to one-, two-, and three-dimensional structural elements of HPs identified from electron microscopy images. Solid and hollow cores carrying solid and hollow spikes find unique representations in GT 'formulas' of the nanostructures. Analysis of complexity metrics for HPs indicated that the key aspects of structural patterns contributing to complexity are (1) dimensionality of the building blocks, (2) levels of hierarchy, and (3) variety of structural components. All studied HPs consistently display enhanced dispersibility and strong Mie scattering. These findings point to the relations between the graph models and chemical properties, whose expected limitations are also discussed. The GT descriptions can be utilized to engineer hierarchical particles toward hard-to-reach functionalities.

Identifiers

PMID40896747
PMCPMC12392442

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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.