Evidence map›Paper›PMID 41576170›Full record

ArticleScience advances2026

Digital composites with reprogrammable phase architectures.

Yun Bai, Xuebo Yuan, Yang Weng, Kaiping Yin, Heling Wang, Xiaoyue Ni

Abstract read
In one paragraph

Article in Science advances, 2026. 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

6 authors.

Yun BaiDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.ORCID 0000-0001-5063-718X
Xuebo YuanSchool of Mechanics and Aerospace Engineering, Southwest Jiaotong University, Chengdu 610031, China.ORCID 0000-0002-8919-2904
Yang WengDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.
Kaiping YinDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.ORCID 0009-0000-2436-9572
Heling WangState Key Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, China.ORCID 0000-0001-7859-5153
Xiaoyue NiDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, USA.ORCID 0000-0002-1822-1122

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial patterning of material phases underpins the functional diversity of natural and engineered composites. However, phase architectures are typically fixed once formed, limiting adaptability. Here, we introduce a digital composite with reprogrammable solid-liquid phase architectures at voxel resolution. Each elastomeric voxel contains a liquid metal composite capable of electrically switching between nonvolatile solid and liquid states within seconds, analogous to rewriting data on a hard disk. High-throughput experiments and coupled modeling demonstrate precise tuning of viscoelastic and plastic properties, as well as programmable constitutive behaviors and strain distributions. A modular assembly strategy allows scalable 3D construction of reprogrammable composites into free-form, bulk geometries. By encoding phase states as digital inputs, the composite unlocks unprecedented access to real-time, voxel-level tuning of material properties.

Identifiers

PMID41576170
PMCPMC12829582

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.