Evidence map›Paper›PMID 39738002›Full record

ArticleNature communications2024

Self-assembly by anti-repellent structures for programming particles with momentum.

Junghyun Bae, Jinsik Yoon, Sangmin Oh, Kibeom Kim, Hyeli Kim, Kahyun Hur, Hyesung Cho, Wook Park

Abstract read
In one paragraph

Article in Nature communications, 2024. 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
–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

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

8 authors.

Junghyun Bae *Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin-si, Republic of Korea.ORCID http://orcid.org/0000-0001-7096-1913
Jinsik Yoon *Institute for Wearable Convergence Electronics, Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0000-0001-7756-9738
Sangmin OhExtreme Materials Research Center, Advanced Materials Research Division, Korea Institute of Science and Technology, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0009-7796-4653
Kibeom KimExtreme Materials Research Center, Advanced Materials Research Division, Korea Institute of Science and Technology, Seoul, Republic of Korea.
Hyeli KimDepartment of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin-si, Republic of Korea.
Kahyun HurExtreme Materials Research Center, Advanced Materials Research Division, Korea Institute of Science and Technology, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-5563-3986
Hyesung ChoExtreme Materials Research Center, Advanced Materials Research Division, Korea Institute of Science and Technology, Seoul, Republic of Korea. hcho@kist.re.kr.ORCID http://orcid.org/0000-0002-8050-3403
Wook ParkDepartment of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin-si, Republic of Korea. parkwook@khu.ac.kr.ORCID http://orcid.org/0000-0002-7928-547X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-assembled configurations are versatile for applications in which liquid-mediated phenomena are employed to ensure that static or mild physical interactions between assembling blocks take advantage of local energy minima. For granular materials, however, a particle's momentum in air leads to random collisions and the formation of disordered phases, eventually producing jammed configurations when densely packed. Therefore, unlike fluidic self-assembly, the self-assembly of dry particles typically lacks programmability based on density and ordering symmetry and has thus been limited in applications. Here, we present the self-assembly of particles with momentum, yielding regular arrays with programmable density and symmetry. The key is to embed anti-repellent structures, i.e. traps, that can capture kinetic particles individually and then robustly hold them against collisions with other momentum granules during a dynamic assembly procedure. By using anti-repellent traps, physical interactions between neighbouring particles can be inhibited, resolving many phenomena related to the uncertainty of space-sharing events in granular packing. With our self-assembly strategy, highly dense yet unjammed configurations are demonstrated, which conserve the inherent randomness in the location information of each granule in the trap and are useful for robust multilevel authentication systems as unique applications.

Identifiers

PMID39738002
PMCPMC11685817

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.