Atomically thin heterojunction-based optoelectronic synaptic devices operable from -190 °C to 450 °C.

Yixuan Zou, Jiawen Yan, Haojie Zhao, Guangwei Hu, Zhongxu Hu, Wenlong Lu, Guangming Tao, Zheng You, Peng Li

Abstract read

In one paragraph

Article in Nature communications, 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

9 authors.

Yixuan ZouDepartment of Precision Instruments, Tsinghua University, Beijing, China.ORCID https://orcid.org/0000-0002-5002-2131

Jiawen YanDepartment of Precision Instruments, Tsinghua University, Beijing, China.

Haojie ZhaoDepartment of Precision Instruments, Tsinghua University, Beijing, China.

Guangwei HuSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore.ORCID http://orcid.org/0000-0002-3023-9632

Zhongxu HuSchool of Mechanical Science and Technology, Huazhong University of Science and Technology, Wuhan, China.

Wenlong LuSchool of Mechanical Science and Technology, Huazhong University of Science and Technology, Wuhan, China. hustwenlong@mail.hust.edu.cn.

Guangming TaoResearch Center for Intelligent Fiber Devices and Equipment, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China. tao@hust.edu.cn.ORCID http://orcid.org/0000-0002-1371-7735

Zheng YouDepartment of Precision Instruments, Tsinghua University, Beijing, China. yz-dpi@mail.tsinghua.edu.cn.ORCID http://orcid.org/0000-0002-3941-1371

Peng LiSchool of Mechanical Science and Technology, Huazhong University of Science and Technology, Wuhan, China. lipeng2023@hust.edu.cn.ORCID http://orcid.org/0000-0002-8791-7465

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52322512National Natural Science Foundation of China (National Science Foundation of China) T2425018National Natural Science Foundation of China (National Science Foundation of China) U2441275

6 · The paper itself

Abstract

Exploration and operation in extreme environments (e.g., planetary surfaces) require hardware capable of sensing, storing, and processing visual information in situ, enabling intelligent perception under conditions inaccessible to humans. Optoelectronic synaptic devices (OSDs) are a promising class of such hardware, but existing OSDs fail under extreme temperatures, making thermal survivability a key bottleneck for extreme environment intelligent vision. Here, via the interface design of 2D-material heterostructures, we develop a MoS

Identifiers

PMID42686765

DOI10.1038/s41467-026-76364-z

PMCPMC13538708

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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.