Evidence map›Paper›PMID 38555287›Full record

ArticleNature communications2024

Monolithic back-end-of-line integration of phase change materials into foundry-manufactured silicon photonics.

Maoliang Wei, Kai Xu, Bo Tang, Junying Li, Yiting Yun, Peng Zhang, Yingchun Wu, Kangjian Bao, Kunhao Lei, Zequn Chen 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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Pixelated electrically driven SbNature communications · 2026
    Article
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  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. PZT optical memristors.Nature communications · 2025
    Article
  13. Article
  14. Article
  15. 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.

Maoliang Wei *The State Key Lab of Brain-Machine Intelligence, Key Laboratory of Micro-Nano Electronics and Smart System of Zhejiang Province, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China.
Kai Xu *The State Key Lab of Brain-Machine Intelligence, Key Laboratory of Micro-Nano Electronics and Smart System of Zhejiang Province, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China.
Bo Tang *Institute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029, China.
Junying LiThe State Key Lab of Brain-Machine Intelligence, Key Laboratory of Micro-Nano Electronics and Smart System of Zhejiang Province, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China. junyingli@zju.edu.cn.
Yiting YunThe State Key Lab of Brain-Machine Intelligence, Key Laboratory of Micro-Nano Electronics and Smart System of Zhejiang Province, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China.
Peng ZhangInstitute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029, China.
Yingchun WuKey Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou, Zhejiang, 310030, China.
Kangjian BaoKey Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou, Zhejiang, 310030, China.
Kunhao LeiThe State Key Lab of Brain-Machine Intelligence, Key Laboratory of Micro-Nano Electronics and Smart System of Zhejiang Province, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China.
Zequn ChenKey Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou, Zhejiang, 310030, China.
Hui MaThe State Key Lab of Brain-Machine Intelligence, Key Laboratory of Micro-Nano Electronics and Smart System of Zhejiang Province, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China.
Chunlei SunKey Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou, Zhejiang, 310030, China.ORCID http://orcid.org/0000-0002-3193-790X
Ruonan LiuInstitute of Microelectronics of the Chinese Academy of Sciences, Beijing, 100029, China.
Ming LiState Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China. ml@semi.ac.cn.ORCID http://orcid.org/0000-0002-0145-486X
Lan LiKey Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou, Zhejiang, 310030, China. lilan@westlake.edu.cn.ORCID http://orcid.org/0000-0002-9097-9157
Hongtao LinThe State Key Lab of Brain-Machine Intelligence, Key Laboratory of Micro-Nano Electronics and Smart System of Zhejiang Province, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China. hometown@zju.edu.cn.ORCID http://orcid.org/0000-0001-7432-3644

Funding

National Natural Science Foundation of China (National Science Foundation of China) 91950204, 62105287, 61975179, and 92150302
6 · The paper itself

Abstract

Monolithic integration of novel materials without modifying the existing photonic component library is crucial to advancing heterogeneous silicon photonic integrated circuits. Here we show the introduction of a silicon nitride etch stop layer at select areas, coupled with low-loss oxide trench, enabling incorporation of functional materials without compromising foundry-verified device reliability. As an illustration, two distinct chalcogenide phase change materials (PCMs) with remarkable nonvolatile modulation capabilities, namely Sb

Identifiers

PMID38555287
PMCPMC10981744

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.