Quasi-Periodic Porous Structures-Based Temperature and Pressure Dual-Mode Electronic Skin for Material Cognition.

Xiaoguang Gao, Chengzhen Xue, Xiaoliang Zhang, Xuejuan Meng, Xiaochun Li, Li Niu

Abstract read

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Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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Authors and funding

6 authors.

Xiaoguang GaoInstitute of Biomedical Precision Testing and Instrumentation, College of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, China.

Chengzhen XueInstitute of Biomedical Precision Testing and Instrumentation, College of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, China.

Xiaoliang ZhangInstitute of Biomedical Precision Testing and Instrumentation, College of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, China.

Xuejuan MengInstitute of Biomedical Precision Testing and Instrumentation, College of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, China.

Xiaochun LiInstitute of Biomedical Precision Testing and Instrumentation, College of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, China.

Li NiuInstitute of Biomedical Precision Testing and Instrumentation, College of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, China.ORCID https://orcid.org/0000-0003-3652-2903

Funding

Four "Batches" Innovation Project of Invigorating Medical through Science and Technology of Shanxi Province 2022XM17Natural Science Foundation of China 21874098Natural Science Foundation of China 22434007Natural Science Foundation of China 62005189Natural Science Foundation of Shanxi Province 202303021211083Natural Science Foundation of Shanxi Province 202303021221027Natural Science Foundation of Shanxi Province 202403021221073

6 · The paper itself

Abstract

It is of great significance to prepare a temperature and pressure (T-P) dual-mode electronic skin (DMES) with a controllable porous structure and use it to achieve material cognition. In this work, a quasi-periodic porous structure-based T-P DMES was proposed, exhibiting excellent performance in material cognition. The quasi-periodic porous structure of the electronic skin was prepared through the interaction of confined two-dimensional bubbles and polydimethylsiloxane (PDMS). After attaching graphene, PEDOT: PSS, and Bi

Indexed as

material cognitionneural networkquasi‐periodic porous structuretemperature and pressure sensing

Identifiers

PMID41486517

DOI10.1002/advs.202512714

PMCPMC13042795

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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.