Evidence map›Paper›PMID 39962764›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Force-Triggered Non-Volatile Multilevel Mechano-Optical Memory System for Logic Computation and Image Recognition.

Jiaxing Guo, Feng Guo, Hang Yang, Tianhong Zhou, Xiaona Du, Rui Gao, Haisheng Chen, Minghao Hu, Weiwei Liu, Yang Zhang and 2 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Jiaxing GuoInstitute of Modern Optics and Tianjin Key Laboratory of Micro-Scale Optical Information Science and Technology, Nankai University, Tianjin, 300071, P. R. China.
Feng GuoDepartment of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, 999077, P. R. China.
Hang YangFaculty of Materials Science and Chemistry, China University of Geosciences, 388 Lumo Road, Wuhan, 430074, P. R. China.
Tianhong ZhouInstitute of Modern Optics and Tianjin Key Laboratory of Micro-Scale Optical Information Science and Technology, Nankai University, Tianjin, 300071, P. R. China.
Xiaona DuInstitute of Photoelectric Thin Film Devices and Technology, College of Electronic Information and Optical Engineering, Nankai University, Tianjin, 300071, P. R. China.
Rui GaoFaculty of Materials Science and Chemistry, China University of Geosciences, 388 Lumo Road, Wuhan, 430074, P. R. China.
Haisheng ChenInstitute of Modern Optics and Tianjin Key Laboratory of Micro-Scale Optical Information Science and Technology, Nankai University, Tianjin, 300071, P. R. China.
Minghao HuInstitute of Modern Optics and Tianjin Key Laboratory of Micro-Scale Optical Information Science and Technology, Nankai University, Tianjin, 300071, P. R. China.
Weiwei LiuInstitute of Modern Optics and Tianjin Key Laboratory of Micro-Scale Optical Information Science and Technology, Nankai University, Tianjin, 300071, P. R. China.
Yang ZhangInstitute of Modern Optics and Tianjin Key Laboratory of Micro-Scale Optical Information Science and Technology, Nankai University, Tianjin, 300071, P. R. China.ORCID https://orcid.org/0000-0002-9840-1755
Dong TuFaculty of Materials Science and Chemistry, China University of Geosciences, 388 Lumo Road, Wuhan, 430074, P. R. China.
Jianhua HaoDepartment of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, 999077, P. R. China.

Funding

China University of Geosciences Project No. 2022175Fundamental Research Funds for the Central UniversitiesNational Natural Science Foundation of China 12074298National Natural Science Foundation of China 12274243National Natural Science Foundation of China 52233014National Natural Science Foundation of China 52372160Shenzhen Science and Technology Program JCYJ2022053014061 4032State Key Laboratory of Information Photonics and Optical Communications IPOC2022A02University Grants Committee PolyU SRFS2122-5S02
6 · The paper itself

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

Indexed as

boolean logic operationsin‐memory computingmechanoluminescencemechano‐optical memoryphotostimulated luminescence

Identifiers

PMID39962764
PMCPMC11984892

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.