Evidence map›Paper›PMID 36357386›Full record

ArticleNature communications2022

Transfer learning enhanced water-enabled electricity generation in highly oriented graphene oxide nanochannels.

Ce Yang, Haiyan Wang, Jiaxin Bai, Tiancheng He, Huhu Cheng, Tianlei Guang, Houze Yao, Liangti Qu

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.3field-weighted citation impact, top 6% of its field
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

18 citing papers in PubMed, 71 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. A Generative Framework for Predicting Antiferromagnets.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Paper-Based Hydroelectric Generators for Water Evaporation-Induced Electricity Generation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  18. 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

8 authors at 1 institution in 1 country.

Ce YangKey Laboratory of Organic Optoelectronics & Molecular Engineering, Ministry of Education, Department of Chemistry, State Key Laboratory of Tribology in Advanced Equipment (SKLT), Laboratory of Flexible Electronics Technology, Tsinghua University, 100084, Beijing, P. R. China.ORCID http://orcid.org/0000-0002-6432-443X
Haiyan WangKey Laboratory of Organic Optoelectronics & Molecular Engineering, Ministry of Education, Department of Chemistry, State Key Laboratory of Tribology in Advanced Equipment (SKLT), Laboratory of Flexible Electronics Technology, Tsinghua University, 100084, Beijing, P. R. China.
Jiaxin BaiKey Laboratory of Organic Optoelectronics & Molecular Engineering, Ministry of Education, Department of Chemistry, State Key Laboratory of Tribology in Advanced Equipment (SKLT), Laboratory of Flexible Electronics Technology, Tsinghua University, 100084, Beijing, P. R. China.
Tiancheng HeKey Laboratory of Organic Optoelectronics & Molecular Engineering, Ministry of Education, Department of Chemistry, State Key Laboratory of Tribology in Advanced Equipment (SKLT), Laboratory of Flexible Electronics Technology, Tsinghua University, 100084, Beijing, P. R. China.
Huhu ChengKey Laboratory of Organic Optoelectronics & Molecular Engineering, Ministry of Education, Department of Chemistry, State Key Laboratory of Tribology in Advanced Equipment (SKLT), Laboratory of Flexible Electronics Technology, Tsinghua University, 100084, Beijing, P. R. China. huhucheng@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-1170-8218
Tianlei GuangKey Laboratory of Organic Optoelectronics & Molecular Engineering, Ministry of Education, Department of Chemistry, State Key Laboratory of Tribology in Advanced Equipment (SKLT), Laboratory of Flexible Electronics Technology, Tsinghua University, 100084, Beijing, P. R. China.
Houze YaoKey Laboratory of Organic Optoelectronics & Molecular Engineering, Ministry of Education, Department of Chemistry, State Key Laboratory of Tribology in Advanced Equipment (SKLT), Laboratory of Flexible Electronics Technology, Tsinghua University, 100084, Beijing, P. R. China.
Liangti QuKey Laboratory of Organic Optoelectronics & Molecular Engineering, Ministry of Education, Department of Chemistry, State Key Laboratory of Tribology in Advanced Equipment (SKLT), Laboratory of Flexible Electronics Technology, Tsinghua University, 100084, Beijing, P. R. China. lqu@mail.tsinghua.edu.cn.ORCID http://orcid.org/0000-0002-0161-3816
State Key Laboratory of Tribology

Funding

National Science Foundation of China | Major Research Plan 22075165National Science Foundation of China | Major Research Plan 52022051National Science Foundation of China | Major Research Plan 52073159National Science Foundation of China | Major Research Plan 52090032
6 · The paper itself

Abstract

Harvesting energy from spontaneous water flow within artificial nanochannels is a promising route to meet sustainable power requirements of the fast-growing human society. However, large-scale nanochannel integration and the multi-parameter coupling restrictive influence on electric generation are still big challenges for macroscale applications. In this regard, long-range (1 to 20 cm) ordered graphene oxide assembled framework with integrated 2D nanochannels have been fabricated by a rotational freeze-casting method. The structure can promote spontaneous absorption and directional transmission of water inside the channels to generate considerable electric energy. A transfer learning strategy is implemented to address the complicated multi-parameters coupling problem under limited experimental data, which provides highly accurate performance optimization and efficiently guides the design of 2D water flow enabled generators. A generator unit can produce ~2.9 V voltage or ~16.8 μA current in a controllable manner. High electric output of ~12 V or ~83 μA is realized by connecting several devices in series or parallel. Different water enabled electricity generation systems have been developed to directly power commercial electronics like LED arrays and display screens, demonstrating the material's potential for development of water enabled clean energy.

Identifiers

PMID36357386
PMCPMC9649687
OpenAlexW4308702318

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.