Evidence map›Paper›PMID 42708922›Full record

ArticleACS nano2026

In Situ Transmission Electron Microscopy Observation of Redox-Structure-Coupled Resistive Switching in High-Entropy Oxide Memristors.

Jia-De Cheng, Jing-Yuan Tsai, Chun-Wei Huang, Chien-Hua Wang, Ching-Min Su, Jui-Yuan Chen, Ying-Hao Chu, Wen-Wei Wu

Abstract read
In one paragraph

Article in ACS nano, 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jia-De ChengDepartment of Materials Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu30010, Taiwan.
Jing-Yuan TsaiDepartment of Materials Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu30010, Taiwan.
Chun-Wei HuangDepartment of Materials Science and Engineering, Feng Chia University, Taichung407, Taiwan.ORCID 0000-0002-3194-3365
Chien-Hua WangDepartment of Materials Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu30010, Taiwan.
Ching-Min SuDepartment of Materials Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu30010, Taiwan.
Jui-Yuan ChenDepartment of Materials Science and Engineering, National United University, Miaoli360302, Taiwan.ORCID 0000-0002-9234-5924
Ying-Hao ChuDepartment of Materials Science and Engineering, National Tsing Hua University, Hsinchu300, Taiwan.ORCID 0000-0002-3435-9084
Wen-Wei WuDepartment of Materials Science and Engineering, National Yang Ming Chiao Tung University, Hsinchu30010, Taiwan.ORCID 0000-0002-8388-8417

Funding

Center for Advanced Semiconductor Technology Research NANational Science and Technology Council NSTC 112-2119-M- 007-011-MBKNational Science and Technology Council NSTC 112-2221-E-A49-038-MY3National Science and Technology Council NSTC 112-2740-M-A49-001National Science and Technology Council NSTC 113- 2221-E-006-043-MY3National Science and Technology Council NSTC 113-2740-M-A49-001National Science and Technology Council NSTC 114-2223-E-A49-001National Science and Technology Council NSTC 114-2634-F-A49-001-National Science and Technology Council NSTC 114-2740-M-A49-001
6 · The paper itself

Abstract

High-entropy oxides (HEOs) have emerged as potential candidates for resistive random-access memory (RRAM) owing to their structural robustness and highly tunable electronic configurations. In this study, a transition-metal HEO thin film composed of Ca, Ti, Sr, Ta, Nb, and O was integrated into Au/HEO-based RRAM devices that exhibited a low SET voltage, fast switching speed (30 ns), and long data retention time (104 s). The underlying resistive switching mechanism was uncovered by employing in situ transmission electron microscopy to observe the real-time structural evolution under an electrical bias. A localized monoclinic-to-cubic symmetry transition was observed during the SET process. Energy-dispersive X-ray spectroscopy and electron-energy-loss spectroscopy analyses revealed cationic rearrangements and Ti/Nb redox interactions accompanied by the generation of oxygen vacancies. These results establish the redox-structure-coupled mechanism for understanding resistive switching in complex oxides. In addition, the HEO-based memristors exhibit stable switching characteristics and synaptic plasticity, highlighting their feasibility for next-generation memory and neuromorphic applications.

Indexed as

high-entropy oxidein situ TEMresistive random-access memoryresistive switchingSTEM-EELSstructural transformation

Identifiers

PMID42708922
PMCPMC13564968

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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.