ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
Force-Triggered Non-Volatile Multilevel Mechano-Optical Memory System for Logic Computation and Image Recognition.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Mechanistic insight into the Young's modulus threshold for fracto-mechanoluminescence in manganese halides.Nature communications · 2026Article
- Force-Triggered Non-Volatile Multilevel Mechano-Optical Memory System for Logic Computation and Image Recognition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
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Authors and funding
12 authors.
Funding
Abstract
In the big data era, sensing multi-modal information in memory is highly demanded for the sake of artificial intelligence applications to overcome the limitations of the von Neumann architecture. Different from traditional sensing methodologies, mechanoluminescence (ML) materials, which emit light in response to mechanical force without any external power supply, present intriguing prospects for technological developments. However, most of the ML materials only demonstrate instantaneous luminescence, severely hampering the exploitation of ML in sophisticated applications where non-volatile control is indispensable. Herein, a non-volatile, multilevel mechano-optical memory system is proposed, based on a crafted combination of a self-recoverable ML material, ZnS:Cu, and a photostimulated luminescence (PSL) phosphor Ca
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Registered trials
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