Evidence map›Paper›PMID 39962222›Full record

ArticleCommunications engineering2025

On-chip solar power source for self-powered smart microsensors in bulk CMOS process.

Jian Guan, Jingjing Liu, Wenji Mo, Bingjun Xiong, Kangkang Sun, Feng Yan, Zhipeng Li, Yuchen Wang, Bhaskar Choubey

Abstract read
In one paragraph

Article in Communications engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Jian GuanSchool of Electronics and Communication Engineering, Sun Yat-Sen University, Shenzhen, China.
Jingjing LiuSchool of Electronics and Communication Engineering, Sun Yat-Sen University, Shenzhen, China. liujj77@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-5285-4997
Wenji MoSchool of Electronics and Communication Engineering, Sun Yat-Sen University, Shenzhen, China.
Bingjun XiongSchool of Electronics and Communication Engineering, Sun Yat-Sen University, Shenzhen, China.
Kangkang SunSchool of Electronics and Communication Engineering, Sun Yat-Sen University, Shenzhen, China.
Feng YanSchool of Electronics and Communication Engineering, Sun Yat-Sen University, Shenzhen, China.
Zhipeng LiSchool of Electronics and Communication Engineering, Sun Yat-Sen University, Shenzhen, China.
Yuchen WangSchool of Electronics and Communication Engineering, Sun Yat-Sen University, Shenzhen, China.
Bhaskar ChoubeyAnalogue Circuits and Image Sensors, Siegen University, Siegen, Germany.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62174181
6 · The paper itself

Abstract

Enhancing the photoelectric conversion efficiency of on-chip solar cells is crucial for advancing solar energy harvesting in self-powered smart microsensors for Internet of Things applications. Here we show that adopting a center electrode (CE) layout instead of a ring electrode (RE) effectively reduces the shadowing effect of surface electrodes. Using a standard 0.18 μm CMOS process, we fabricated a 0.01 mm² segmented triple-well on-chip solar cell with CEs and highly doped interconnections. Measurements demonstrate a photoelectric conversion efficiency of 25.79% under solar simulator illumination, a 17.49% improvement over conventional designs. This on-chip solar cell is used for on-chip energy harvesting, achieving a maximum end-to-end conversion efficiency of 10.20%, referring to the overall efficiency from incident light power to load power output. The proposed energy harvesting system reliably provides a stable 1 V output to the load, even under varying illumination and load conditions.

Identifiers

PMID39962222
PMCPMC11832895

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.