Evidence map›Paper›PMID 35860308›Full record

ArticleEnergy technology (Weinheim, Germany)2022

Advancing Reverse Electrowetting-on-Dielectric from Planar to Rough Surface Electrodes for High Power Density Energy Harvesting.

Pashupati R Adhikari, Adnan B Patwary, Karthik Kakaraparty, Avinash Gunti, Russell C Reid, Ifana Mahbub

Abstract read
In one paragraph

Article in Energy technology (Weinheim, Germany), 2022. 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

6 authors.

Pashupati R AdhikariDepartment of Mechanical Engineering University of North Texas Denton TX 76207 USA.ORCID 0000-0003-4886-5794
Adnan B PatwaryDepartment of Electrical Engineering University of North Texas Denton TX 76201 USA.
Karthik KakarapartyDepartment of Electrical Engineering University of North Texas Denton TX 76201 USA.
Avinash GuntiDepartment of Electrical Engineering University of North Texas Denton TX 76201 USA.
Russell C ReidDepartment of Engineering Dixie State University St. George UT 84770 USA.
Ifana MahbubDepartment of Electrical Engineering University of North Texas Denton TX 76201 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reverse electrowetting-on-dielectric (REWOD)-based energy harvesting has been studied over the last decade as a novel technique of harvesting energy by actuating liquid droplet(s) utilizing applied mechanical modulation. Much prior research in REWOD has relied on planar electrodes, which by its geometry possess a limited surface area. In addition, most of the prior REWOD works have applied a high bias voltage to enhance the output power that compromises the concept of self-powering wearable motion sensors in human health monitoring applications. In order to enhance the REWOD power density resulting from an increased electrode-electrolyte interfacial area, high surface area electrodes are required. Herein, electrical and multiphysics-based modeling approaches of REWOD energy harvester using structured rough surface electrodes are presented. By enhancing the overall available surface area, an increase in the overall capacitance is achieved. COMSOL and MATLAB-based models are also developed, and the empirical results are compared with the models to validate the performance. Root mean square (RMS) power density is calculated using the RMS voltage across an optimal load impedance. For the proposed rough electrode REWOD energy harvester, maximum power density of 3.18 μW cm

Indexed as

high surface areas, rough electrodeslow-frequency motion energy harvestingmathematical modelingreverse electrowetting-on-dielectricwearable motion sensorszero applied bias

Identifiers

PMID35860308
PMCPMC9285574

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.