Evidence map›Paper›PMID 42522896›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Mapping Distinct Oxygen-Binding Regimes in Single-Atom Alloys.

Xiaojuan Hu, Iftikhar Hussain, Zhong-Kang Han

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, 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.

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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

3 authors.

Xiaojuan HuZhejiang Key Laboratory of Low-Carbon Synthesis of Value-Added Chemicals; School of Materials Science and Engineering, Zhejiang University, Hangzhou, China.
Iftikhar HussainDepartment of Mechanical Engineering, City University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0001-6576-2119
Zhong-Kang HanZhejiang Key Laboratory of Low-Carbon Synthesis of Value-Added Chemicals; School of Materials Science and Engineering, Zhejiang University, Hangzhou, China.

Funding

Leading Innovative and Entrepreneur Team Introduction Program of Zhejiang 2023R01007National Key Research and Development Program 2023YFA1506902National Key Research and Development Program 2025YFA1016804National Natural Science Foundation of China 22302173Natural Science Foundation of Zhejiang Province LQK26B030001Zhejiang Key Laboratory of Low-Carbon Synthesis of Value-Added Chemicals 2025E10097
6 · The paper itself

Abstract

Single-atom alloys greatly expand the design space of heterogeneous catalysts, yet adsorbate binding on these materials often cannot be captured by a single universal principle. Here, we show that oxygen binding on single-atom alloys is instead governed by distinct adsorption regimes that arise from different physical origins. Using more than 1,000 density functional theory calculations, we combine interpretable machine learning with descriptor analysis to identify three governing mechanisms and define their domains of validity. Oxygen binding is controlled by the d-band center theory on early transition metal hosts, follows the ten-electron counting rule on late transition metal hosts, and is further modulated by coordination effects in a complementary structural regime. This regime-based framework explains why conventional global models fail to capture adsorption trends across chemically diverse alloys. By accounting for distinct physical regimes, it enables more reliable prediction of oxygen binding and supports high-throughput screening of single-atom alloys. Our results establish adsorption-regime mapping as a general strategy for interpretable catalyst discovery beyond single-descriptor approaches.

Indexed as

adsorbate binding mechanismshigh‐throughput screeningphysics‐informed machine learningsingle‐atom alloy catalystssubgroup discovery algorithm

Identifiers

PMID42522896
PMCPMC13580235

What OpenQuestion holds

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Registered trials

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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.