Evidence map›Paper›PMID 40846854›Full record

ArticleNature communications2025

Defect-phase engineered NiTi-TiO

Ruonan Wang, Mingjia Zhang, Jingjing Liu, Xu Wu, Shule Zhang, Qin Zhong, Jianfeng Yao

Abstract read
In one paragraph

Article in Nature communications, 2025. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Dual-Site Cooperativity in Ag/Cu-AgSmall (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  5. Review
  6. 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

7 authors.

Ruonan Wang *Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, College of Chemical Engineering, Nanjing Forestry University, Nanjing, 210037, PR China.ORCID http://orcid.org/0009-0006-7379-478X
Mingjia Zhang *College of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, PR China.
Jingjing LiuCollege of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, PR China.
Xu WuCollege of Chemistry and Chemical Engineering, Taiyuan University of Technology, Taiyuan, 030024, PR China.
Shule ZhangCollege of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, PR China. shulezhang@163.com.ORCID http://orcid.org/0000-0003-2194-9322
Qin ZhongCollege of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, PR China. zq304@njust.edu.cn.ORCID http://orcid.org/0000-0001-6276-3482
Jianfeng YaoJiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, College of Chemical Engineering, Nanjing Forestry University, Nanjing, 210037, PR China. jfyao@njfu.edu.cn.ORCID http://orcid.org/0000-0002-3619-6741

Funding

National Natural Science Foundation of China (National Science Foundation of China) 21908108, 52170110
6 · The paper itself

Abstract

Scaling up methanol yields by artificial photosynthesis at a modest cost remains thermodynamically challenge. Designing concerted reaction sites to control intermediate evolution and stimulate proton-coupled electron transfer (PCET) is necessary. Here we show a nickel-titanium-based catalyst that achieves near-millimolar hourly methanol yields with 99.79% selectivity and a solar-to-chemical conversion efficiency of 2.23%. This catalyst is synthesized through one-step etching of NiTi-layered double hydroxide, which generates abundant unsaturated sites, along with the in-situ formation of amorphous TiO

Identifiers

PMID40846854
PMCPMC12373805

What OpenQuestion holds

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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.