Evidence map›Paper›PMID 41071882›Full record

ArticleScience advances2025

Orbital angular momentum-driven multistate photomemory.

Ye-Ru Chen, Po-Wen Wang, Wen-Hao Chang, Jagdees Prasad, Yu-Yang Chen, Yu-Cheng Chiu, Ting-Hua Lu, Yann-Wen Lan

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Ye-Ru ChenDepartment of Physics, National Taiwan Normal University, Taipei 116, Taiwan.ORCID 0009-0007-7158-4030
Po-Wen WangDepartment of Physics, National Taiwan Normal University, Taipei 116, Taiwan.
Wen-Hao ChangDepartment of Physics, National Taiwan Normal University, Taipei 116, Taiwan.ORCID 0000-0003-3612-5457
Jagdees PrasadDepartment of Physics, National Taiwan Normal University, Taipei 116, Taiwan.ORCID 0000-0002-3255-6463
Yu-Yang ChenDepartment of Physics, National Taiwan Normal University, Taipei 116, Taiwan.
Yu-Cheng ChiuDepartment of Chemical Engineering, National Taiwan University of Science and Technology, Taipei 116, Taiwan.
Ting-Hua LuDepartment of Physics, National Taiwan Normal University, Taipei 116, Taiwan.ORCID 0000-0002-8803-5229
Yann-Wen LanDepartment of Physics, National Taiwan Normal University, Taipei 116, Taiwan.ORCID 0000-0003-2403-1357

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current optical memory technologies face critical challenges, including limited precision in multistate control, energy inefficiency, and inadequate adaptability across diverse material platforms. To directly address these issues, this study introduces a noncontact approach by exploiting the unique properties of the orbital angular momentum (OAM) of light. The distinctive longitudinal electric field generated by OAM light substantially enhances the density of trap states in materials such as molybdenum disulfide, as the primary material for investigation, and others as supplementary examples. This enhancement enables precise modulation of key device characteristics, including readout current, hysteresis window, and charge storage capacity, with quantitative behavior accurately modeled by the Poole-Frenkel effect. Our results reveal the transformative potential of OAM light in enabling multilevel memory states with exceptional tunability and versatility across different material systems. This work underscores the viability of OAM-driven memory as a platform for the next generation of highly functional, optically responsive memory devices.

Identifiers

PMID41071882
PMCPMC12513417

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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.