Figure 1 (IMAGE)

Advanced Institute for Materials Research (AIMR), Tohoku University

Figure 1

Caption

Big data-driven AI analysis of hydride SSEs. (A) Left: Temperature profiles of the ionic conductivity of all types of SSEs extracted from available experimental data reported to date. Right: Computational Ea values obtained using different methods for all types of SSEs reported to date. (B) Temperature profiles of the ionic conductivity of hydride SSEs extracted from available experiments reported to date. Point size represents the Ea value, with larger points indicating higher Ea. (C) Benchmarking analysis between experimental Ea and the computational Ea from different methods (D) Schematic diagram of the proposed workflow to develop high-performance SSE. ]

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©Qian Wang et al.

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