The Most Comprehensive Database
of Ionic Transport Characteristics to Date
Bing He1, Siqi
Shi2,3,*
1 School of Computer
Engineering and Science, Shanghai University, Shanghai 200444, China;
2 School of Materials Science
and Engineering, Shanghai University, Shanghai 200444, China;
3 Materials Genome Institute,
Shanghai University, Shanghai 200444, China
ABSTRACT: Transport
characteristics of ionic conductors play a key role in the performance of
electrochemical devices. However, due to the complexity of source, the data are
scattered and unavailable in a retrievable format. Besides, most Materials
Genome Initiative platforms do not contain the ion-transport properties.
Voronoi Decomposition and bond-valence site energy
(BVSE) methods attract a great attention owing to their efficient calculation
time at the minute level. We built a database containing
crystal structure information, ion migration channel connectivity and three-dimensional
channel maps for over 29,000 inorganic compounds based on the
combination of Voronoi decomposition and BVSE methods (Figure1). The calculations are a part of high-throughput
investigations, undertaken within the framework of the Screening Platform for
Solid Electrolytes (SPSE) (www.bmaterials.cn) which has been deployed to
the National Supercomputer Center in Guangzhou (http://matgen.nscc-gz.cn/solidElectrolyte/).
Figure 1. The architecture of the ionic transport characteristics database.
Keywords: Transport characteristics; Ionic conductors; Database; Geometric analysis; Bond valence site energy
Siqi Shi obtained his Ph.D. from Institute of Physics, CAS in 2004. After that, he joined National Institute of Advanced Industrial Science and Technology of Japan and Brown University of USA as a post-doctor until joining Shanghai University as a professor in early 2013. His current research interests focus on multiscale calculations of electrochemical energy storage materials and materials design and performance optimization using machine learning.