Evidence map›Paper›PMID 40572401›Full record

ArticleMicromachines2025

Optical Full Adder Based on Integrated Diffractive Neural Network.

Chenchen Deng, Yilong Wang, Guangpu Li, Jiyuan Zheng, Yu Liu, Chao Wang, Yuyan Wang, Yuchen Guo, Jingtao Fan, Qingyang Du and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 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

11 authors.

Chenchen DengBeijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China.
Yilong WangBeijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China.
Guangpu LiBeijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China.
Jiyuan ZhengBeijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China.
Yu LiuBeijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China.
Chao WangBeijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China.
Yuyan WangBeijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China.
Yuchen GuoBeijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China.
Jingtao FanBeijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China.
Qingyang DuZhejiang Lab, Hangzhou 311121, China.
Shaoliang YuZhejiang Lab, Hangzhou 311121, China.ORCID 0000-0002-6072-425X

Funding

Beijing Major Science and Technology Project Z241100004224016National Key Laboratory of Laser Spatial Information Foundation LSI2024JCKY03the National Key Research and Development Program 2021YFA0716400 and 2024YFB3612200the National Natural Science Foundation of China 62235011, 62175126, T2322016, 62225405, 62350002, 61991443, 62127814, 62235005, and 61927811the National Science and Technology Major Project 2021ZD0109903
6 · The paper itself

Abstract

Light has been intensively investigated as a computing medium due to its high-speed propagation and large operation bandwidth. Since the invention of the first laser in 1960, the development of optical computing technologies has presented both challenges and opportunities. Recent advances in artificial intelligence over the past decade have opened up new horizons for optical computing applications. This study presents an end-to-end truth table direct mapping approach using on-chip deep diffractive neural network (D

Indexed as

diffractive neural networklogic computingoptical computing

Identifiers

PMID40572401
PMCPMC12195495

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.