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Efficient and accurate neural-field reconstruction using resistive memory

Nature, Published online: 10 June 2026; doi:10.1038/s41586-026-10646-w

A co-optimized AI hardware–software system using resistive-memory computing improves energy efficiency and parallelism for sparse signal reconstruction in imaging and three-dimensional vision applications.
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Unravelling the anion-dominated interfacial structure of hybrid solid electrolytes via ssNMR

Energy Environ. Sci., 2026, 19,3667-3677
DOI: 10.1039/D6EE00543H, Paper
Yuhang Li, Likun Chen, Shengnan Zhang, Yubin Li, Junwei Liang, Yuetao Ma, Ke Yang, Zhuo Han, Guanyou Xiao, Longxiang Yu, Chenjie Lou, Yan-Bing He, Feiyu Kang, Ming Liu
The TCMβˆ’ anion prevents the PS43βˆ’ to P2S74βˆ’ phase transition via weak interactions with LPSC. This maintains the PS43βˆ’-based boundaries in HSE-LiTCM, ensuring rapid Li+ transport and high conductivity.
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