Evidence map›Paper›PMID 38267467›Full record

ArticleNature communications2024

Engineering metal-carbide hydrogen traps in steels.

Pang-Yu Liu, Boning Zhang, Ranming Niu, Shao-Lun Lu, Chao Huang, Maoqiu Wang, Fuyang Tian, Yong Mao, Tong Li, Patrick A Burr and 6 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
10.3field-weighted citation impact, top 1% 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

6 citing papers in PubMed, 60 citations in OpenAlex.

  1. A Non-Equilibrium Flame Aerosol Process to Create High-Entropy MOFs.Advanced materials (Deerfield Beach, Fla.) · 2026
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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

16 authors at 10 institutions in 4 countries.

Pang-Yu Liu *Australian Centre for Microscopy and Microanalysis, The University of Sydney, Sydney, NSW, 2006, Australia.ORCID http://orcid.org/0000-0003-1583-3155
Boning Zhang *School of Materials Science and Engineering, Tsing Hua University, Beijing, 100084, China.
Ranming Niu *Australian Centre for Microscopy and Microanalysis, The University of Sydney, Sydney, NSW, 2006, Australia.ORCID http://orcid.org/0000-0001-8190-552X
Shao-Lun LuAustralian Centre for Microscopy and Microanalysis, The University of Sydney, Sydney, NSW, 2006, Australia.ORCID http://orcid.org/0000-0003-2758-2031
Chao HuangAustralian Centre for Microscopy and Microanalysis, The University of Sydney, Sydney, NSW, 2006, Australia.
Maoqiu WangCentral Iron & Steel Research Institute Company Limited, Beijing, 100081, China.
Fuyang TianInstitute for Applied Physics, University of Science and Technology Beijing, Beijing, 100083, China.
Yong MaoMaterials Genome Institute, School of Materials and Energy, Yunnan University, Kunming, 650091, China.
Tong LiInstitute for Materials, Ruhr-Universität Bochum, Bochum, 44801, Germany.
Patrick A BurrSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID http://orcid.org/0000-0003-4796-9110
Hongzhou LuCITIC Metal Co., Beijing, 100027, China.ORCID http://orcid.org/0000-0002-9829-3942
Aimin GuoCITIC Metal Co., Beijing, 100027, China.
Hung-Wei YenDepartment of Materials Science and Engineering, National Taiwan University, Taipei, 10617, Taiwan. homer.yen@ntu.edu.tw.ORCID http://orcid.org/0000-0002-7885-938X
Julie M CairneyAustralian Centre for Microscopy and Microanalysis, The University of Sydney, Sydney, NSW, 2006, Australia. julie.cairney@sydney.edu.au.ORCID http://orcid.org/0000-0003-4564-2675
Hao ChenSchool of Materials Science and Engineering, Tsing Hua University, Beijing, 100084, China. hao.chen@mail.tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-9069-3290
Yi-Sheng ChenAustralian Centre for Microscopy and Microanalysis, The University of Sydney, Sydney, NSW, 2006, Australia. yi-sheng.chen@sydney.edu.au.ORCID http://orcid.org/0000-0002-2607-4388
The University of Sydney · AUCITIC Group (China) · CNYunnan University · CNChina Iron and Steel Research Institute Group · CNNational Taiwan University of Science and Technology · TWRuhr University Bochum · DETsinghua University · CNUniversity of Science and Technology Beijing · CNUniversity of Technology Sydney · AUUNSW Sydney · AU

Funding

Department of Education and Training | Australian Research Council (ARC) IE230100160Department of Education and Training | Australian Research Council (ARC) LP180100431Department of Education and Training | Australian Research Council (ARC) LP210300999
6 · The paper itself

Abstract

Hydrogen embrittlement reduces the durability of the structural steels required for the hydrogen economy. Understanding how hydrogen interacts with the materials plays a crucial role in managing the embrittlement problems. Theoretical models have indicated that carbon vacancies in metal carbide precipitates are effective hydrogen traps in steels. Increasing the number of carbon vacancies in individual metal carbides is important since the overall hydrogen trapping capacity can be leveraged by introducing abundant metal carbides in steels. To verify this concept, we compare a reference steel containing titanium carbides (TiCs), which lack carbon vacancies, with an experimental steel added with molybdenum (Mo), which form Ti-Mo carbides comprising more carbon vacancies than TiCs. We employ theoretical and experimental techniques to examine the hydrogen trapping behavior of the carbides, demonstrating adding Mo alters the hydrogen trapping mechanism, enabling hydrogen to access carbon vacancy traps within the carbides, leading to an increase in trapping capacity.

Identifiers

PMID38267467
PMCPMC10808193
OpenAlexW4391227596

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.