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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.

Conformal hetero-electrolyte interface between soft oxyhalides and garnet enables low-pressure lithium-reservoir-free solid-state batteries

Energy Environ. Sci., 2026, 19,3283-3299
DOI: 10.1039/D5EE07777J, Paper
Open Access Open Access
Max Palmer, Vipin K. Singh, Leonardo Merola, Karthikeyen Natarajan Pugazhendhi, Pallab Barai, Insang You, Yubo Wang, Eric Carlson, Cathy Wang, Hao Zheng, Venkat Srinivasan, Jürgen Janek, Jeff Sakamoto, Linda F. Nazar
Soft oxyhalide electrolytes enable low hetero-electrolyte (H-E) resistance with garnet at low stack pressures for “reservoir-free” dual electrolyte batteries.
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