ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026
Physical Implementation of Optical Material-Based Neural Networks Processing Enabled by Long-Persistent Luminescence.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Rapid advancements in artificial intelligence have magnified the inherent bottlenecks and energy inefficiencies of conventional von Neumann architecture. To address these limitations, processing information in a highly parallel, memory-integrated manner mimicking the human brain, neuromorphic devices have emerged as a cornerstone of next-generation computing. Among these, optical-neuromorphic devices are particularly promising. By using light, they offer transformative advantages, such as high speed, massive bandwidth, and minimal signal interference. Accordingly, we propose long-persistent luminescence (LPL) materials as novel substrates for optically operative artificial synapses. We utilize AGa
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