Evidence map›Paper›PMID 41878636›Full record

ArticleResearch (Washington, D.C.)2026

Asymmetric Diffusion Metasurface-Based Lensless Monitoring and Uniform Illumination Systems for Optical Lithography.

Guangbiao Wang, Yanhua Shen, Yazhi Pi, Wenchao Kong, Yun Lai, Xu Ma, Yan Zhou, Fan Li, Zizheng Cao, Lei Wang and 1 more

Abstract read
In one paragraph

Article in Research (Washington, D.C.), 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

11 authors.

Guangbiao WangSchool of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou 510275, China.ORCID https://orcid.org/0000-0003-4556
Yanhua ShenPeng Cheng Laboratory, Shenzhen 518055, China.
Yazhi PiPeng Cheng Laboratory, Shenzhen 518055, China.
Wenchao KongPeng Cheng Laboratory, Shenzhen 518055, China.
Yun LaiNational Laboratory of Solid State Microstructures, School of Physics, and Collaborative Innovation, Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China.ORCID https://orcid.org/0000-0002-0040
Xu MaKey Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of China, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.
Yan ZhouPeng Cheng Laboratory, Shenzhen 518055, China.
Fan LiSchool of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou 510275, China.
Zizheng CaoPeng Cheng Laboratory, Shenzhen 518055, China.
Lei WangPeng Cheng Laboratory, Shenzhen 518055, China.
Shaohua YuPeng Cheng Laboratory, Shenzhen 518055, China.ORCID https://orcid.org/0000-0002-0193

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The long-standing trade-off between illumination performance (such as uniformity) and optical system complexity has hindered the development of compact lithographic tools. Here, we overcome this limitation by introducing a metasurface-enabled lensless illumination system that seamlessly combines light homogenization and monitoring capabilities. Using an asymmetric diffusion metasurface integrated with intelligent optimization algorithms, we achieve precise light field control and self-adaptive feedback without relying on conventional lens assemblies. When deployed on a self-developed large-field lithography platform, the system demonstrates uniform ultraviolet illumination with nonuniformity below 3% and successfully exposes patterns across a range of feature sizes. A gray-level to power-level mapping algorithm enables real-time assessment of light-emitting diode performance, providing diagnostic alerts and adaptively reconfigurable exposure configurations to circumvent defective emitters. This synergy between metasurface optics and algorithmic intelligence establishes a new paradigm for compact, low-cost, and scalable lithographic illumination, offering a pathway toward next-generation intelligent manufacturing systems.

Identifiers

PMID41878636
PMCPMC13006733

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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.