Metal oxide and hydroxide nanoarrays: Hydrothermal synthesis and applications as supercapacitors and nanocatalysts
By Qiu Yang, Zhiyi Lu, Junfeng Liu, Xiaodong Lei, Z. Chang, Liang Luo, Xiaoming Sun. 2013
222 citations recorded by the source corpus.
Abstract The development of nanotechnology in recent decades has brought new opportunities in the exploration of new materials for solving the issues of fossil fuel consumption and environment pollution. Materials with nano-array architecture are emerging as the key due to their structure advantages, which offer the possibility to fabricate high-performance electrochemical electrodes and catalysts for both energy storage and efficient use of energy. The main challenges in this field remain as rational structure design and corresponding controllable synthesis. This article reviews recent progress in our laboratory related to the hydrothermal synthesis of metal oxide and hydroxide nanoarrays, whose structures are designed aiming to the application on supercapacitors and catalysts. The strategies for developing advanced materials of metal oxide and hydroxide nanoarrays, including NiO, Ni(OH)2, Co3O4, Co3O4@Ni–Co–O, cobalt carbonate hydroxide array, and mixed metal oxide arrays like Co3−xFexO4 and ZnxCo3−xO4, are discussed. The different kinds of structure designs such as 1D nanorod, 2D nanowall and hierarchical arrays were involved to meet the needs of the high performance materials. Finally, the future trends and perspectives in the development of advanced nanoarrays materials are highlighted.
Subfields: Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/232aa454608939890afe7822bc643ed9e998330b
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In Electrical and Electronic Engineering
In Electronic, Optical and Magnetic Materials
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Supercapacitor and supercapattery as emerging electrochemical energy stores (2017, background): “plots are often observed to be much more sluggish [6,36,80].”