A 0.6

Yuting Zhang, Qianhui Ge, Yanhan Zeng

Abstract read

In one paragraph

Article in Micromachines, 2023. 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.

A 640 nAMicromachines · 2024
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

3 authors.

Yuting ZhangSchool of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510000, China.

Qianhui GeSchool of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510000, China.

Yanhan ZengSchool of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510000, China.ORCID 0000-0002-2260-3705

Funding

The National Natural Science Foundation of China 61704037The National Natural Science Foundation of China 62141414The Natural Science Foundation of Guangdong Province 2023A1515012900The Science and Technology Innovation Strategy Special Foundation of Guangdong Province pdjh2022a0402The Special Projects in Key Fields of Guangdong Education Department 2022ZDZX1019

6 · The paper itself

Abstract

A fully integrated and high-efficiency low-dropout regulator (LDO) with 100 mV dropout voltage and nA-level quiescent current for energy harvesting has been proposed and simulated in the 180 nm CMOS process in this paper. A bulk modulation without an extra amplifier is proposed, which decreases the threshold voltage, lowering the dropout voltage and supply voltage to 100 mV and 0.6 V, respectively. To ensure stability and realize low current consumption, adaptive power transistors are proposed to enable system tropology to alter between 2-stage and 3-stage. In addition, an adaptive bias with bounds is utilized in an attempt to improve the transient response. Simulation results demonstrate that the quiescent current is as low as 220 nA and the current efficiency reaches 99.958% in the full load condition, load regulation is 0.0059 mV/mA, line regulation is 0.4879 mV/V, and the optimal PSR is -51 dB.

Indexed as

bulk modulationenergy harvestinghigh power efficiencylow-dropout regulatorultra-low-input voltage

Identifiers

PMID37241622

DOI10.3390/mi14050998

PMCPMC10222239

What OpenQuestion holds

Textmetadata

LicenceCC BY

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 OpenQuestion graph.