Evidence map›Paper›PMID 41406187›Full record

ArticleACS nano2026

Retina-Inspired 2D Semiconductor NIR Sensor with PRO Architecture for Photodetection.

Xingchao Zhang, Chunsheng Chen, Lanying Zhou, Minkun Jin, Changheng Chen, Qing Guan, Shuopei Wang, Tong Li, Songge Zhang, Hua Yu and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS nano, 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

15 authors.

Xingchao ZhangSchool of Physics and Advanced Energy, Henan University of Technology, Zhengzhou, Henan 450001, China.ORCID 0009-0006-1952-3452
Chunsheng ChenDepartment of Electronic Engineering and Materials Science and Technology Research Center, The Chinese University of Hong Kong, Hong Kong, China.
Lanying ZhouSongshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China.
Minkun JinState Key Laboratory of Photon Technology in Western China Energy, Institute of Photonics & Photon Technology, Northwest University, Xi'an 710069, China.
Changheng ChenState Key Laboratory of Photon Technology in Western China Energy, Institute of Photonics & Photon Technology, Northwest University, Xi'an 710069, China.
Qing GuanSongshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China.
Shuopei WangSongshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China.
Tong LiSongshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China.
Songge ZhangSongshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China.
Hua YuSongshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China.
Shenghuang LinSongshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China.ORCID 0000-0001-9552-4680
Na LiSongshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China.
Chongfeng GuoState Key Laboratory of Photon Technology in Western China Energy, Institute of Photonics & Photon Technology, Northwest University, Xi'an 710069, China.ORCID 0000-0003-0177-4369
Jianbin XuDepartment of Electronic Engineering and Materials Science and Technology Research Center, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0003-0509-9508
Guangyu ZhangSongshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Light detection and ranging (LiDAR) technology is critical for autonomous driving, which relies on abundant near-infrared (NIR) photodetectors to accurately capture three-dimensional spatial information. CMOS-based LiDAR detection systems are less efficient with respect to computational efficiency, inherently limited by their von Neumann architecture, leading to high latency and significant computational demands. Retina-inspired neuromorphic sensors integrated from sensing and computation present a promising alternative but need additional analog-to-digital converters (ADCs). Here we present the photosensitive ring oscillator (PRO) based visual afferent neuro-biosensors for LiDAR-based sensing applications. The PRO employs monolayer MoS

Indexed as

2D semiconductoroptical-frequency conversionphotosensitive ring oscillatorup-conversion luminescence

Identifiers

PMID41406187
PMCPMC12810471

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.