Evidence map›Paper›PMID 41170616›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2025

Morphogenetic Metals through Topology-Driven Stiffness Changes and Electrochemical Activation.

Jungtaek Kim, Yash Agrawal, Zakaria Hsain, James K Guest, James H Pikul

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Jungtaek KimDepartment of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Yash AgrawalDepartment of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Zakaria HsainDepartment of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID https://orcid.org/0000-0003-3190-1824
James K GuestDepartment of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
James H PikulDepartment of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, 53706, USA.ORCID https://orcid.org/0000-0002-7018-2925

Funding

Air Force Office of Scientific Research FA9550-22-1-0095National Research Foundation of Korea RS-2024-00412565
6 · The paper itself

Abstract

Morphogenesis enables the adaptive capabilities of living organisms and has been realized in soft materials that heal, change stiffness, and grow. Metals, despite their importance, do not have the tools to enable morphogenesis near ambient temperatures because metal atoms require intense temperatures and energy to move. This paper reports a method for reversibly controlling the physical properties of metal lattices with minimal energy, power, and material input through electrochemically activated topology changes. Switching between two topological states in individual cells enables programmable material moduli between 1.1 MPa and 2.6 GPa. The room temperature electrochemical morphogenesis is reversible and provides in situ phase control of a vibrating mass. A topology optimization technique that solves for two extreme topologies with minimal change in part volume realizes metamaterials that switch between negative and positive Poisson's ratios. The presented approaches for changing mechanical properties through topology provide a new path for endowing metals with the adaptive characteristics of organisms.

Indexed as

auxeticelectrochemical activationsmorphogenetic metalsstiffness changestopology‐driven

Identifiers

PMID41170616
PMCPMC12658919

What OpenQuestion holds

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LicenceCC BY
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.