Evidence map›Paper›PMID 41462021›Full record

ArticleNature communications2025

Highly reconfigurable neuronlike conductive networks through nanophase structure engineering.

Wei Zhong, Haojie Zhao, Bowen Yao, Zhenze Li, Shuai Zhou, Zhifeng Wang, Yuhao Geng, Wen Sun, Jiajun Fu

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

9 authors.

Wei Zhong *School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing, China.
Haojie Zhao *School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing, China.
Bowen Yao *School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing, China. bowenyao@njust.edu.cn.ORCID http://orcid.org/0000-0003-0750-9523
Zhenze LiDepartment of Precision Instrument, Tsinghua University, Beijing, China.ORCID http://orcid.org/0009-0000-3448-8794
Shuai ZhouSchool of Chemical Engineering, Nanjing University of Science and Technology, Nanjing, China.
Zhifeng WangTesting Center, Yangzhou University, Yangzhou, China.
Yuhao GengSchool of Chemical Engineering, Nanjing University of Science and Technology, Nanjing, China.
Wen SunSchool of Chemical Engineering, Nanjing University of Science and Technology, Nanjing, China.
Jiajun FuSchool of Chemical Engineering, Nanjing University of Science and Technology, Nanjing, China. fujiajun668@njust.edu.cn.ORCID http://orcid.org/0000-0002-8542-9556

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52072177, 52272084National Natural Science Foundation of China (National Science Foundation of China) 52203002
6 · The paper itself

Abstract

Bionic electronics are designed to bridge the gap between biological systems and conventional electronic devices. However, replicating the high dynamic adaptivity and functional plasticity of living tissues while preserving the electrical performance and structural integrity of traditional electronics remains highly challenging, owing to the intrinsic trade-offs in molecular design. To address this issue, a methodology of reversible nanophase regulation is proposed, inspired by ion-specific effects in biological environments. Benefiting from the dynamic response of noncovalent interaction to specific ions, the developed system can successfully integrate multiple traditionally contradictory properties-combining outstanding electrical/mechanical performance with excellent reconfigurability, such as re-writability of conductive pathways, in-situ wet solderability with good spatial resolution, and closed-loop recyclability. This methodology offers a promising framework for designing reconfigurable devices for bioelectronics applications such as human-machine integration and tissue engineering.

Indexed as

NanostructuresNanotechnologyNeuronsBionicsElectric ConductivityElectronicsHumansTissue Engineering

Identifiers

PMID41462021
PMCPMC12873140

What Socratic 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 Socratic graph.