Evidence map›Paper›PMID 42262003›Full record

ArticleAngewandte Chemie (International ed. in English)2026

Self-Optimization With Oriented Facet Reconstruction for Universal Electrocatalytic C-N Coupling.

Ze Wu, Xiaorong Zhu, Xupeng Qin, Chu Zhang, Nannan Guo, Dawei Chen, Dafeng Yan, Yujie Wang, Ruping Miao, Kefan Zhang and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Angewandte Chemie (International ed. in English), 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
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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

15 authors.

Ze WuState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, International Joint Laboratory of Energy Electrochemistry Hunan University, Changsha, China.
Xiaorong ZhuSchool of Chemistry and Chemical Engineering Nantong, Nantong University, Nantong, China.
Xupeng QinNational Synchrotron Radiation Laboratory University of Science and Technology of China, Hefei, China.
Chu ZhangMIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, State Key Laboratory of Space Power-Sources, School of Chemistry and Chemical Engineering Harbin Institute of Technology, Harbin, China.
Nannan GuoState Key Laboratory of Chemistry and Utilization of Carbon Based Energy Resources, College of Chemistry Xinjiang University, Urumqi, China.
Dawei ChenState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, International Joint Laboratory of Energy Electrochemistry Hunan University, Changsha, China.
Dafeng YanState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, International Joint Laboratory of Energy Electrochemistry Hunan University, Changsha, China.ORCID https://orcid.org/0000-0003-0161-9780
Yujie WangState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, International Joint Laboratory of Energy Electrochemistry Hunan University, Changsha, China.
Ruping MiaoState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, International Joint Laboratory of Energy Electrochemistry Hunan University, Changsha, China.
Kefan ZhangState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, International Joint Laboratory of Energy Electrochemistry Hunan University, Changsha, China.
Qinghua LiuState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, International Joint Laboratory of Energy Electrochemistry Hunan University, Changsha, China.ORCID https://orcid.org/0000-0003-4090-3311
Chade LvMIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage, State Key Laboratory of Space Power-Sources, School of Chemistry and Chemical Engineering Harbin Institute of Technology, Harbin, China.ORCID https://orcid.org/0000-0002-0964-1037
Luxiang WangState Key Laboratory of Chemistry and Utilization of Carbon Based Energy Resources, College of Chemistry Xinjiang University, Urumqi, China.ORCID https://orcid.org/0000-0002-8320-8784
Shuangyin WangState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, International Joint Laboratory of Energy Electrochemistry Hunan University, Changsha, China.ORCID https://orcid.org/0000-0002-2269-3237
Chen ChenState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, International Joint Laboratory of Energy Electrochemistry Hunan University, Changsha, China.ORCID https://orcid.org/0000-0002-1862-8627

Funding

China Postdoctoral Science Foundation 2020M682540China Postdoctoral Science Foundation BX20200116National Key R&D Program of China 2025YFA1511400National Natural Science Foundation of China 12404079National Natural Science Foundation of China 22102054National Natural Science Foundation of China 22250006National Natural Science Foundation of China 22261160640National Natural Science Foundation of China 22422203National Natural Science Foundation of China 22425201the Natural Science Foundation of Hunan Province 2023JJ10002
6 · The paper itself

Abstract

Electrocatalytic C-N coupling represents a green synthesis platform, yet the dynamic evolution of catalyst surfaces during the reaction remains poorly understood. Here, we report a nitrate-dominated, preferential facet evolution on Cu single crystals that directs less active (110) and (100) facets toward the highly active (111) configuration. The Cu(111) surface delivers a urea yield of 5.2 mg h

Indexed as

C–N couplingelectrocatalysisoriented facet reconstructionself‐optimizationsingle‐crystal

Identifiers

PMID42262003
PMCPMC13382915

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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.