Evidence map›Paper›PMID 40478872›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Programmable seconds-to-days-long delayed snapping in jumping metashells.

Haitao Qing, Caizhi Zhou, Fangjie Qi, Jie Yin

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. 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

4 authors.

Haitao QingDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695.ORCID 0000-0003-3624-478X
Caizhi ZhouDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695.ORCID 0000-0002-9191-059X
Fangjie QiDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695.ORCID 0009-0009-5202-0023
Jie YinDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695.ORCID 0000-0002-6297-1262

Funding

NSF | ENG | Division of Civil, Mechanical and Manufacturing Innovation (CMMI) 2126072NSF | ENG | Division of Civil, Mechanical and Manufacturing Innovation (CMMI) 2329674
6 · The paper itself

Abstract

Shape-shifting structures can transform and recover their shapes in response to external stimuli, but they often lack programmable, clock-like control over spatiotemporal deformation and motion, especially after stimuli are removed. Achieving autonomous, time-regulated spatiotemporal motion remains a grand challenge. Here, we present an autonomous delayed-jumping metashell that integrates viscoelastic materials with monostable architected structures to address this limitation. The metashell with tunable prestored elastic energy features an internal time clock enabling programmable autonomous delayed snapping and jumping after actuation removal. The delay spans from seconds to 2.4 d, with jumping heights decreasing from over 9 to 0.5 body heights. We demonstrate its utility in autonomous explosive seed dispersal devices, achieving wide-area omnidirectional distribution with high survival rates. This strategy paves the way for creating autonomous spatiotemporal shape-shifting structures with broad applications in robotics, morphing matter, ecology, and intelligent systems.

Indexed as

autonomous jumpingdelayed snappingmonostabilitysustainable seeding devicesviscoelastic shell structure

Identifiers

PMID40478872
PMCPMC12167986

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.