Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/48619
Title: Folded nanocrystalline-stacked WO3 for efficient ammonium-ion storage
Authors: DONG, Ximan 
Li, Pei
Chen, Xinyue
Chu, Yue
Zubtsovskii, Aleksandr
Zhang , Chuyan
Lu, Ziyang
LI, Changli 
LIU, Shuang 
Hoffmann, Renee S.
Huang, Nan
Schonherr, Holger
Yang, Quan-Hong
Jiang , Xin
YANG, Nianjun 
Issue Date: 2026
Publisher: ELSEVIER
Source: Energy storage materials, 86 (Art N° 104932)
Abstract: Ammonium-ion hybrid supercapacitors (AIHSs) hold great promises for high-rate energy storage, yet their performance is often restricted by sluggish ion transport and the structural instability of electrode materials. Here, we present a rapid and scalable electrodeposition strategy operated at an unusually high overpotential (-2.5 V) to fabricate amorphous tungsten oxide (a-WO3) with nanocrystallites irregularly stacked. The asdeposited a-WO3 also features abundant oxygen vacancies and surface oxygen-containing functional groups, which serve as additional NH4+ adsorption sites and enhance redox activity and ion diffusion kinetics. Benefiting from these synergistic effects, the a-WO3 electrode delivers a high areal capacitance of 2783 mF cm-2, excellent rate capability, and superior cycling stability. When coupled with a polyaniline (PANI) cathode, the resulting AIHS achieves an impressive energy density of 620 mu Wh cm-2. This work demonstrates a powerful strategy for engineering defect-rich amorphous nanomaterials toward next-generation ammonium-ion storage technologies.
Notes: Yang, NJ (corresponding author), Hasselt Univ, Dept Chem, Agoralaan 1, B-3590 Diepenbeek, Belgium.; Jiang, X (corresponding author), Univ Siegen, Inst Mat Engn, Paul Bonatz Str 9-11, D-57076 Siegen, Germany.
nianjun.yang@uhasselt.be; jiang@lot.mb.uni-siegen.de
Keywords: Ammonium-ion storage;Tungsten oxide;Non-metal charge carriers;Folded nanocrystalline-stacked structure
Document URI: http://hdl.handle.net/1942/48619
ISSN: 2405-8297
e-ISSN: 2405-8289
DOI: 10.1016/j.ensm.2026.104932
ISI #: 001683614000001
Rights: 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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