Lithium Localization by Anions in Argyrodite Solid Electrolytes from Machine‐Learning‐based Simulations (Adv. Energy Mater. 48/2024)
Source abstract
Abstract
Solid Electrolytes In article number 2402396, Byungju Lee and co-workers employ artificial intelligence (AI) to investigate lithium-ion transport within solid electrolytes using large-scale molecular dynamics simulations. By integrating AI-driven insights, it provides a detailed understanding of ion dynamics, aiming to enhance the performance of lithium-ion batteries and guide the development of next-generation solid-state energy storage systems. This approach offers a novel pathway for optimizing battery efficiency.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Battery Materials and Technologies
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Affiliations
Computational Science Research Center Korea Institute of Science and Technology (KIST) 5 Hwarangno 14‐gil, Seongbuk‐gu Seoul 02792 Republic of Korea
Applied AI Research Team POSCO HOLDINGS Teheran‐ro, Gangnam‐gu Seoul 06194 Republic of Korea
References
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