Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 161

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Solar-driven thermal-wind synergistic effect on laser-textured superhydrophilic copper foam architectures for ultrahigh efficient vapor generation

Yin, Kai, Wu, Zhipeng, Wu, Junrui, Zhu, Zhuo, Zhang, Fan, Duan, Ji-An·2021·Applied Physics Letters

Abstract

Solar-driven vapor generation is a sustainable and environmentally friendly method for water purification. Despite recent progress on photothermal steam generation, the rate of vapor generation remains low. Here, we enhance the vapor generation rate by combining solar-driven thermal and wind effects on a femtosecond-laser-textured superhydrophilic copper foam surface. Significant solar power can be absorbed and transformed into heat on the treated surface. This solar power can also be converted into electric power to generate wind to further accelerate steam generation. The upper superhydrophilic foam surface facilitates the continuous supply of water. A pre-wetted polyurethane sponge minimizes heat loss by preventing direct contact between the heated foam and bulk water. The as-prepared evaporator achieved a water evaporation rate of ∼7.6 kg m−2 h−1 under one sun irradiation (1 kW m−2) at a wind speed of 3 m s−1. This is a promising technology for enhancing water evaporation rates in seawater desalination and wastewater treatment applications.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1063/5.0050623

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Cited by

See all 161

Metadata

Authors
Yin, K., Wu, Z., Wu, J., Zhu, Z., Zhang, F., & Duan, J.-A.
Venue
Applied Physics Letters
Published
2021-05-24
Volume
118
Issue
21
ISSN
  • 0003-6951 (ISSN-L)
  • 1077-3118
OpenAlex
W3164801234
Cited by
161
References
2
FWCI
6.08
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Solar-driven thermal-wind synergistic effect on laser-textured superhydrophilic copper foam architectures for ultrahigh efficient vapor generation. https://app.cochat.ai/papers/10.1063/5.0050623
The paper
Yin, K., Wu, Z., Wu, J., Zhu, Z., Zhang, F., & Duan, J.-A. (2021). Solar-driven thermal-wind synergistic effect on laser-textured superhydrophilic copper foam architectures for ultrahigh efficient vapor generation. Applied Physics Letters. https://doi.org/10.1063/5.0050623

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.