Evidence map›Paper›PMID 42089943›Full record

ReviewNano-micro letters2026

A Review on Multi-Level Asymmetric Design for 2D Neuromorphic Devices.

Yilin Sun, Yuandong Gao, Zimu Wang, Zerui Cai, Zhifang Liu, Jianlong Xu

Abstract readReview
In one paragraph

Review in Nano-micro letters, 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.

Yilin SunSchool of Microelectronics Science and Technology, Sun Yat-sen University, Zhuhai, 519000, Guangdong, People's Republic of China. sunylin7@mail.sysu.edu.cn.
Yuandong GaoSchool of Microelectronics Science and Technology, Sun Yat-sen University, Zhuhai, 519000, Guangdong, People's Republic of China.
Zimu WangSchool of Microelectronics Science and Technology, Sun Yat-sen University, Zhuhai, 519000, Guangdong, People's Republic of China.
Zerui CaiSchool of Microelectronics Science and Technology, Sun Yat-sen University, Zhuhai, 519000, Guangdong, People's Republic of China.
Zhifang LiuInstitute of Atomic Manufacturing, International Institute for Interdisciplinary and Frontiers, Beihang University, Beijing, 100191, People's Republic of China. liuzhifang@buaa.edu.cn.
Jianlong XuInstitute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices, Soochow University, Suzhou, 215123, Jiangsu, People's Republic of China. xujianlong@suda.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asymmetry has emerged as a critical design strategy for implementing essential neuromorphic functionalities, such as directional signal propagation, programmable plasticity, and bio-inspired dynamics. This principle involves deliberately breaking symmetry at various scales, which introduces unique physical phenomena including spontaneous built-in fields, anisotropic carrier transport, and memristive switching, which are foundational to synaptic and neuronal emulation. Despite growing research, a systematic synthesis of how asymmetry function across different design levels is lacking, hindering the development of guiding design principles. This review bridges this gap by systematically examining asymmetric engineering across three levels: materials, structures, and device. Benefiting from the inherent structural and electronic versatility of two-dimensional (2D) materials, their unique physical properties arising from such multi-level asymmetry for emulating and regulating synaptic plasticity are analyzed to demonstrate the resultant functional diversity and tunability of neuromorphic devices. Furthermore, existing challenges are discussed and a forward-looking perspective on integrating multiple asymmetries and extending the concept to circuit and system levels is provided. This work aims to establish a coherent design framework and provide a unique pathway for developing next-generation neuromorphic intelligent hardware based on 2D materials.

Indexed as

Anisotropic crystal structureAsymmetric designBand alignment engineeringContact engineeringNeuromorphic devices

Identifiers

PMID42089943
PMCPMC13149734

What OpenQuestion holds

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Registered trials

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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.