Evidence map›Paper›PMID 38696663›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

MEMS Oscillators-Network-Based Ising Machine with Grouping Method.

Yi Deng, Yi Zhang, Xinyuan Zhang, Yang Jiang, Xi Chen, Yansong Yang, Xin Tong, Yao Cai, Wenjuan Liu, Chengliang Sun and 4 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Analytical Prediction of Critical Transitions in Oscillator Networks With Non-Local Links.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. BEOL-Compatible 4FSmall (Weinheim an der Bergstrasse, Germany) · 2024
    Article
  4. MEMS Oscillators-Network-Based Ising Machine with Grouping Method.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
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

14 authors.

Yi DengDepartment of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, 999077, China.
Yi ZhangDepartment of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, 999077, China.
Xinyuan ZhangDepartment of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, 999077, China.ORCID https://orcid.org/0000-0002-3666-9836
Yang JiangDepartment of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, 999077, China.
Xi ChenDepartment of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, 999077, China.
Yansong YangDepartment of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, 999077, China.
Xin TongInstitute of Technological Sciences, Wuhan University, Wuhan, 430072, China.
Yao CaiInstitute of Technological Sciences, Wuhan University, Wuhan, 430072, China.
Wenjuan LiuInstitute of Technological Sciences, Wuhan University, Wuhan, 430072, China.
Chengliang SunInstitute of Technological Sciences, Wuhan University, Wuhan, 430072, China.
Dashan ShangInstitute of Microelectronics, Chinese Academy of Sciences, Beijing, 100029, China.
Qing WangSchool of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China.
Hongyu YuSchool of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China.
Zhongrui WangDepartment of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, 999077, China.ORCID https://orcid.org/0000-0003-2264-0677

Funding

Hong Kong Research Grant Council 17205922Hong Kong Research Grant Council 17212923Hong Kong Research Grant Council 27206321National Key R&D Program of China 2018YFA0701500National Natural Science Foundation of China 61771176National Natural Science Foundation of China 61874138National Natural Science Foundation of China 61888102National Natural Science Foundation of China 62122004National Natural Science Foundation of China 62171173National Natural Science Foundation of China 62274082Research on high-reliable GaN power device and the related industrial power system HZQB-KCZYZ-2021052Research on the fabrication and mechanism of GaN power and RF devices JCYJ20200109141233476Research on the GaN Chip for 5G Applications JCYJ20210324120409025Strategic Priority Research Program of the Chinese Academy of Sciences XDB44000000
6 · The paper itself

Abstract

Combinatorial optimization (CO) has a broad range of applications in various fields, including operations research, computer science, and artificial intelligence. However, many of these problems are classified as nondeterministic polynomial-time (NP)-complete or NP-hard problems, which are known for their computational complexity and cannot be solved in polynomial time on traditional digital computers. To address this challenge, continuous-time Ising machine solvers have been developed, utilizing different physical principles to map CO problems to ground state finding. However, most Ising machine prototypes operate at speeds comparable to digital hardware and rely on binarizing node states, resulting in increased system complexity and further limiting operating speed. To tackle these issues, a novel device-algorithm co-design method is proposed for fast sub-optimal solution finding with low hardware complexity. On the device side, a piezoelectric lithium niobate (LiNbO

Indexed as

combinatorial optimizationIsing machineMax‐CutMEMS oscillatorsemidefinite programming relaxation

Identifiers

PMID38696663
PMCPMC11234442

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.