Static Drainage H

Mengdi Guo, Diankai Qiu, Dong Zhu, Linfa Peng

Abstract read

In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Mengdi GuoShanghai Key Laboratory of Digital Manufacture for Thin-walled Structures, Shanghai Jiao Tong University, Shanghai, People's Republic of China.ORCID https://orcid.org/0009-0002-7451-1287

Diankai QiuShanghai Key Laboratory of Digital Manufacture for Thin-walled Structures, Shanghai Jiao Tong University, Shanghai, People's Republic of China.ORCID https://orcid.org/0000-0002-9223-8985

Dong ZhuShanghai Key Laboratory of Digital Manufacture for Thin-walled Structures, Shanghai Jiao Tong University, Shanghai, People's Republic of China.ORCID https://orcid.org/0000-0002-3000-9511

Linfa PengShanghai Key Laboratory of Digital Manufacture for Thin-walled Structures, Shanghai Jiao Tong University, Shanghai, People's Republic of China.

Funding

Fundamental and Interdisciplinary Disciplines Breakthrough Plan of the Ministry of Education of China JYB2025XDXM209National Key R&D Program of China 2023YFB4006300National Natural Science Foundation of China 52575301National Natural Science Foundation of China U2441281

6 · The paper itself

Abstract

As the suitability of proton exchange membrane fuel cells (PEMFCs) for underwater and space applications gains broader recognition, dead-ended operation has attracted increasing attention. However, water management challenges are exacerbated in PEMFCs without high-rate purge flows. Flooding frequently occurs, and thus hinders long-term stable operation. In this study, water transport plates (WTPs) were specifically designed to concurrently satisfy the dual requirements of passive water removal and gas tightness for dead-ended cathode operation. A pore-network model was established to investigate the capillary behavior mechanism within the porous structure, predict the water flux and bubble pressure of the WTPs, and further optimize the design of key parameters including average pore diameter. The network topology is reconstructed from X-CT images, and pore-throat shape corrections together with throat tortuosity are incorporated. By taking water flux (≥27.9 µL·cm

Indexed as

dead‐ended anode and cathodepore network modelproton exchange membrane fuel cellwater managementwater transport plate

Identifiers

PMID42733280

DOI10.1002/advs.77662

PMCPMC13572829

What OpenQuestion holds

Textmetadata

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.