| Literature DB >> 27523264 |
P Wu1, S Q Wu2, X Lv3, X Zhao4, Z Ye4, Z Lin3, C Z Wang4, K M Ho5.
Abstract
Using a combination of adaptive genetic algorithm search, motif-network search scheme and first-principles calculations, we have systematically studied the low-energy crystal structures of Na2FeSiO4. We show that the low-energy crystal structures with different space group symmetries can be classified into several families based on the topologies of their Fe-Si networks. In addition to the diamond-like network which is shared by most of the low-energy structures, another three robust Fe-Si networks are also found to be stable during the charge/discharge process. The electrochemical properties of representative structures from these four different Fe-Si networks in Na2FeSiO4 and Li2FeSiO4 are investigated and found to be strongly correlated with the Fe-Si network topologies. Our studies provide a new route to characterize the crystal structures of Na2FeSiO4 and Li2FeSiO4 and offer useful guidance for the design of promising cathodes for Na/Li ion batteries.Entities:
Year: 2016 PMID: 27523264 DOI: 10.1039/c6cp05135a
Source DB: PubMed Journal: Phys Chem Chem Phys ISSN: 1463-9076 Impact factor: 3.676