Evidence map›Paper›PMID 38594254›Full record

ArticleNature communications2024

Multilevel design and construction in nanomembrane rolling for three-dimensional angle-sensitive photodetection.

Ziyu Zhang, Binmin Wu, Yang Wang, Tianjun Cai, Mingze Ma, Chunyu You, Chang Liu, Guobang Jiang, Yuhang Hu, Xing Li and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

16 authors.

Ziyu Zhang *Department of Materials Science & State Key Laboratory of Molecular Engineering of Polymer, Fudan University, Shanghai, 200438, People's Republic of China.
Binmin Wu *Department of Materials Science & State Key Laboratory of Molecular Engineering of Polymer, Fudan University, Shanghai, 200438, People's Republic of China.ORCID http://orcid.org/0000-0003-3421-6654
Yang WangDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymer, Fudan University, Shanghai, 200438, People's Republic of China.
Tianjun CaiDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymer, Fudan University, Shanghai, 200438, People's Republic of China.
Mingze MaDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymer, Fudan University, Shanghai, 200438, People's Republic of China.
Chunyu YouDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymer, Fudan University, Shanghai, 200438, People's Republic of China.
Chang LiuDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymer, Fudan University, Shanghai, 200438, People's Republic of China.
Guobang JiangDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymer, Fudan University, Shanghai, 200438, People's Republic of China.ORCID http://orcid.org/0009-0006-4767-1292
Yuhang HuDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymer, Fudan University, Shanghai, 200438, People's Republic of China.
Xing LiDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymer, Fudan University, Shanghai, 200438, People's Republic of China.
Xiang-Zhong ChenShanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Fudan University, Shanghai, 200438, People's Republic of China.
Enming SongShanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, Fudan University, Shanghai, 200438, People's Republic of China.
Jizhai CuiDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymer, Fudan University, Shanghai, 200438, People's Republic of China.
Gaoshan HuangDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymer, Fudan University, Shanghai, 200438, People's Republic of China.ORCID http://orcid.org/0000-0002-0525-7177
Suwit KiravittayaDepartment of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand.
Yongfeng MeiDepartment of Materials Science & State Key Laboratory of Molecular Engineering of Polymer, Fudan University, Shanghai, 200438, People's Republic of China. yfm@fudan.edu.cn.ORCID http://orcid.org/0000-0002-3314-6108

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2021YFA0715302Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2021YFE0191800National Natural Science Foundation of China (National Science Foundation of China) 61975035National Natural Science Foundation of China (National Science Foundation of China) 62375054Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 21142200200Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 22ZR1405000
6 · The paper itself

Abstract

Releasing pre-strained two-dimensional nanomembranes to assemble on-chip three-dimensional devices is crucial for upcoming advanced electronic and optoelectronic applications. However, the release process is affected by many unclear factors, hindering the transition from laboratory to industrial applications. Here, we propose a quasistatic multilevel finite element modeling to assemble three-dimensional structures from two-dimensional nanomembranes and offer verification results by various bilayer nanomembranes. Take Si/Cr nanomembrane as an example, we confirm that the three-dimensional structural formation is governed by both the minimum energy state and the geometric constraints imposed by the edges of the sacrificial layer. Large-scale, high-yield fabrication of three-dimensional structures is achieved, and two distinct three-dimensional structures are assembled from the same precursor. Six types of three-dimensional Si/Cr photodetectors are then prepared to resolve the incident angle of light with a deep neural network model, opening up possibilities for the design and manufacturing methods of More-than-Moore-era devices.

Identifiers

PMID38594254
PMCPMC11004118

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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.