期刊
ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
卷 -, 期 -, 页码 -出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/anie.202215544
关键词
Density of States; Disordering; Frustration; Ion Conductor; Machine Learning
The frustration in super-ionic conductors enables their high ionic conductivities, which are important for various technological applications. However, analyzing the disordering of atomistic configurations is challenging. By using lithium super-ionic conductors as models, the density of atomistic states (DOAS) analytics is proposed and demonstrated to quantitatively characterize disorder, reveal the energetics of local disorder, and understand how frustration enhances diffusion. Material design strategies aided by DOAS are also devised and demonstrated for new super-ionic conductors. DOAS is a versatile analytic tool for understanding complex atomistic systems and guiding material design.
The frustration in super-ionic conductors enables their exceptionally high ionic conductivities, which are desired for many technological applications including batteries and fuel cells. A key challenge in the study of frustration is the difficulties in analyzing a large number of disordered atomistic configurations. Using lithium super-ionic conductors as model systems, we propose and demonstrate the density of atomistic states (DOAS) analytics to quantitatively characterize the onset and degree of disordering, reveal the energetics of local disorder, and elucidate how the frustration enhances diffusion through the broadening and overlapping of the energy levels of atomistic states. Furthermore, material design strategies aided by the DOAS are devised and demonstrated for new super-ionic conductors. The DOAS is generally applicable analytics for unraveling fundamental mechanisms in complex atomistic systems and guiding material design.
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