Evidence map›Paper›PMID 42374935›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

A Chemically Programmable Retinomorphic GaN p-n Diode for Multimode Visual Sensing.

Xin Liu, Shi Fang, Wei Chen, Yang Kang, Wengang Gu, Yuanmin Luo, Dongyang Luo, Zhixiang Gao, Zixun Wang, Xudong Yang and 4 more

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 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

14 authors.

Xin LiuiGaN Laboratory, School of Microelectronics, University of Science and Technology of China, Hefei, Anhui, China.
Shi FangiGaN Laboratory, School of Microelectronics, University of Science and Technology of China, Hefei, Anhui, China.ORCID https://orcid.org/0000-0001-9255-1579
Wei CheniGaN Laboratory, School of Microelectronics, University of Science and Technology of China, Hefei, Anhui, China.
Yang KangiGaN Laboratory, School of Microelectronics, University of Science and Technology of China, Hefei, Anhui, China.
Wengang GuiGaN Laboratory, School of Microelectronics, University of Science and Technology of China, Hefei, Anhui, China.
Yuanmin LuoiGaN Laboratory, School of Microelectronics, University of Science and Technology of China, Hefei, Anhui, China.
Dongyang LuoiGaN Laboratory, School of Microelectronics, University of Science and Technology of China, Hefei, Anhui, China.
Zhixiang GaoiGaN Laboratory, School of Microelectronics, University of Science and Technology of China, Hefei, Anhui, China.
Zixun WangiGaN Laboratory, School of Microelectronics, University of Science and Technology of China, Hefei, Anhui, China.
Xudong YangiGaN Laboratory, School of Microelectronics, University of Science and Technology of China, Hefei, Anhui, China.
Menglong WangiGaN Laboratory, School of Microelectronics, University of Science and Technology of China, Hefei, Anhui, China.ORCID https://orcid.org/0009-0002-9832-1920
Yong YaniGaN Laboratory, School of Microelectronics, University of Science and Technology of China, Hefei, Anhui, China.ORCID https://orcid.org/0000-0003-4283-5324
Guofeng YangSchool of Science, Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology, Jiangnan University, Wuxi, China.ORCID https://orcid.org/0000-0002-4409-9685
Haiding SuniGaN Laboratory, School of Microelectronics, University of Science and Technology of China, Hefei, Anhui, China.ORCID https://orcid.org/0000-0001-8664-666X

Funding

Anhui Provincial Natural Science Foundation 2308085J08National Natural Science Foundation of China 62322410National Natural Science Foundation of China 624B2135National Natural Science Foundation of China 62574193National Natural Science Foundation of China 625B2172
6 · The paper itself

Abstract

Real-world visual scenes include wide illumination conditions with rapid fluctuations, demanding vision sensors that integrate multiple visual dynamics through diverse modulation strategies. However, most vision sensors suffer from limited tunability, mainly modulated via external physical stimuli (e.g., electric or light) while lacking chemical programmability critical for biorealistic vision. Here, we report a chemically programmable retinomorphic p-n diode that supports spiking response and light adaptation together with chemical tunability in an ultracompact device platform. Governed by the interplay between photoelectric carrier separation at the internal p-n junction and electrochemical carrier consumption at the semiconductor/electrolyte interface, the retinomorphic diode demonstrates switchable response modes with chemical programmability. Specifically, the device generates spikes upon illumination transitions under closed-circuit operation, while varying ion/molecule species enables bidirectional tuning of steady-state current, transforming dynamic-only sensing into static-dynamic fused sensing. Moreover, it spontaneously shifts from scotopic to photopic adaptation with increasing illumination under open-circuit operation, while both processes can be bidirectionally regulated through chemical programming. Leveraging this adaptive behavior, we further construct a proof-of-concept visual-motor pathway that exhibits chemically programmable, illumination-dependent actuation. Together, this work demonstrates a chemically programmable retinomorphic platform combining physical and chemical modulation for bioinspired multimode visual sensing.

Indexed as

diodegallium nitridephotoelectric effectphotoelectric sensorphotopic visionsemiconductor

Identifiers

PMID42374935
PMCPMC13432272

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.