CUED Publications database

3D interconnected hierarchically macro-mesoporous TiO<inf>2</inf> networks optimized by biomolecular self-assembly for high performance lithium ion batteries

Ren, XN and Wu, L and Jin, J and Liu, J and Hu, ZY and Li, Y and Hasan, T and Yang, XY and Van Tendeloo, G and Su, BL (2016) 3D interconnected hierarchically macro-mesoporous TiO<inf>2</inf> networks optimized by biomolecular self-assembly for high performance lithium ion batteries. RSC Advances, 6. pp. 26856-26862.

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Abstract

© 2016 The Royal Society of Chemistry. Biomolecular self-assembly is an effective synthesis strategy for material fabrication with unique structural complexity and properties. For the first time, we integrate inner-particle mesoporosity in a three-dimensional (3D) interconnected macroporous TiO 2 structure via the mediation of biomolecular self-assembly of the lipids and proteins from rape pollen coats and Pluronic P123 to optimize the structure for high performance lithium storage. Benefitting from the hierarchically 3D interconnected macro-mesoporous structure with high surface area, small nanocrystallites and good electrolyte permeation, such a unique porous structure demonstrates superior electrochemical performance, with high initial coulombic efficiency (94.4% at 1C) and a reversible discharge capacity of 161, 145, 127 and 97 mA h g -1 at 2, 5, 10 and 20C for 1000 cycles, with 79.3%, 89.9%, 90.1% and 87.4% capacity retention, respectively. Using SEM, TEM and HRTEM observations on the TiO 2 materials before and after cycling, we verify that the inner-particle mesoporosity and the Li 2 Ti 2 O 4 nanocrystallites formed during the cycling process in interconnected macroporous structure greatly enhance the cycle life and rate performance. Our demonstration here offers opportunities towards developing and optimizing hierarchically porous structures for energy storage applications via biomolecular self-assembly.

Item Type: Article
Subjects: UNSPECIFIED
Divisions: Div B > Solid State Electronics and Nanoscale Science
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:07
Last Modified: 17 Oct 2017 01:39
DOI: