In Angewandte Chemie (International ed. in English)
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 to analyze a large number of disordered atomistic configurations. Using lithium superionic 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 for guiding material design.
Wang Shuo, Liu Yunsheng, Mo Yifei
2023-Feb-07
Solid electrolyte, super-ionic conductor, machine learning, frustration, density of states
