Metamaterial-Enhanced Solar-Driven Processes for Energy Conversion and Water Treatment.

Xuechen Jing, Zhehao Sun, Hang Yin, Kaili Liu, Yi-Lun Chen, Shuwen Cheng, Zongyou Yin

Abstract readReview

In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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.

Metamaterial-Enhanced Solar-Driven Processes for Energy Conversion and Water Treatment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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

7 authors.

Xuechen JingResearch School of Chemistry, The Australian National University, Canberra, Australian Capital Territory, 2601, Australia.ORCID https://orcid.org/0009-0005-7078-3455

Zhehao SunResearch School of Chemistry, The Australian National University, Canberra, Australian Capital Territory, 2601, Australia.

Hang YinResearch School of Chemistry, The Australian National University, Canberra, Australian Capital Territory, 2601, Australia.

Kaili LiuResearch School of Chemistry, The Australian National University, Canberra, Australian Capital Territory, 2601, Australia.

Yi-Lun ChenResearch School of Chemistry, The Australian National University, Canberra, Australian Capital Territory, 2601, Australia.

Shuwen ChengResearch School of Chemistry, The Australian National University, Canberra, Australian Capital Territory, 2601, Australia.

Zongyou YinResearch School of Chemistry, The Australian National University, Canberra, Australian Capital Territory, 2601, Australia.ORCID https://orcid.org/0000-0002-0800-4490

Funding

Australian Research Council DP240100687Australian Research Council FT230100059Australian Research Council IH220100012Deutsche Forschungsgemeinschaft 437527638

6 · The paper itself

Abstract

To address global challenges in sustainable energy and water treatment, metamaterials have emerged as a transformative class of materials for solar-driven photocatalysis. Through nanoscale engineering, these artificially structured materials enable precise manipulation of light-matter interactions and significantly enhance solar energy utilization beyond the limits of conventional photocatalysts. This review systematically summarizes recent progress in applying metamaterials to solar-driven processes for energy conversion and water treatment, including photocatalytic CO

Indexed as

AI‐assisted designsCO2 reductionsmetamaterialsorganic pollutant degradationsphotocatalysissolar energy conversionwater treatment

Identifiers

PMID40686309

DOI10.1002/advs.202508046

PMCPMC12442709

What Socratic 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 Socratic graph.