Evidence map›Paper›PMID 39919188›Full record

ArticleScience advances2025

A material dynamically enhancing both load-bearing and energy dissipation capability under cyclic loading.

Bohan Sun, Grant Kitchen, Dongjing He, Deep K Malu, Jitao Ding, Yiji Huang, Adebayo Eisape, Mostafa M Omar, Yuhang Hu, Sung Hoon Kang

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

10 authors.

Bohan SunDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0001-9216-6603
Grant KitchenHopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD, USA.
Dongjing HeGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0003-1034-4256
Deep K MaluGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0002-8681-0957
Jitao DingDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID 0009-0009-1404-7372
Yiji HuangDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Adebayo EisapeHopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0003-2784-3860
Mostafa M OmarDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0003-0132-7542
Yuhang HuGeorge W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0002-2274-4903
Sung Hoon KangDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-9156-3348

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Material properties gradually degrade under cyclic loading, leading to catastrophic failure. It results in large costs for inspection, maintenance, and downtime. Besides, materials require combinations of performance such as load bearing and energy dissipation. However, improving one performance of a material often sacrifices another performance, making it difficult to create materials with optimal performance profiles. Here we report a liquid-infused porous piezoelectric scaffold (LIPPS) that simultaneously enhances its load-bearing and energy dissipation capability under cyclic loading. For example, after 12 million loading cycles, LIPPS increases its modulus by 3600% and hysteresis by 3000%. From a CT study, this behavior is attributed to the self-recoverable mineralization under mechanical loading. Moreover, LIPPS shows a reprogrammable stiffness distribution based on the loading distribution, which enables the material to generate multiple shapes by self-folding. Our findings can contribute toward unprecedented opportunities in soft robotics, vehicles, infrastructure, and tissue engineering and contribute to the new paradigm of material selection with improved resilience and sustainability.

Identifiers

PMID39919188
PMCPMC11804925

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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.