Share:
Peer-Reviewed Publication
J Am Chem Soc2026;148(32):34579-34591.August 19, 2026Journal Article

Programmable Vacancy Topology in High-Entropy-Alloy-Inspired Multiprincipal Alloys Directs Ru-Centered Alkaline Hydrogen Evolution.

Huiyong Huang1,2, Wenhui Zhong3, Qiaoling Kang4, Yinhe Wang5, Chunyu Zhang1, Hao Lei1, Zhiyun Li1, Qing Zhang1, Wei Wei1, Jinfeng Yang6, Jingyuan Ma7, Hao Liu8, Li Li3, Jun Jiang5, Tingli Ma2, Yi Cui1
1i-lab, Vacuum Interconnected Nanotech Workstation (Nano-X), Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou215123, China.
2Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, 2-4 Hibikino, Wakamatsu-Ku, Kitakyushu, Fukuoka808-0196, Japan.
3Institute of Intelligent Innovation, Henan Academy of Sciences, Zhengzhou451162, China.
4College of Materials and Chemistry, China Jiliang University, Hangzhou310018, China.
5Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei230026, China.
6The Institute of Scientific and Industrial Research, Osaka University, Osaka567-0047, Japan.
7Shanghai Synchrotron Radiation Facility (SSRF), Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai201204, China.
8State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei230026, China.

Abstract

Vacancy topology in multiprincipal alloys provides a controllable handle to tune interfacial reaction pathways, yet practical routes to program vacancies in ultrasmall alloys remain scarce. Here, we report an H2-free, volatility-assisted MOF-to-alloy synthesis in an inert atmosphere that yields sub-4 nm MnFeRuCoNi-based multiprincipal alloy nanoparticles with a Ru-proximal vacancy environment. A c…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.