Evidence map›Paper›PMID 39635695›Full record

ArticleNanophotonics (Berlin, Germany)2023

Back-propagation-assisted inverse design of structured light fields for given profiles of optical force.

Xiaoshu Zhao, Haoze Lin, Huajin Chen, Hongxia Zheng, Jack Ng

Abstract read
In one paragraph

Article in Nanophotonics (Berlin, Germany), 2023. 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

5 authors.

Xiaoshu ZhaoState Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200433, China.
Haoze LinDepartment of Computer Science, Columbia University, New York, NY 10027, USA.
Huajin ChenSchool of Electronic Engineering, Guangxi University of Science and Technology, Liuzhou, Guangxi 545006, China.ORCID https://orcid.org/0000-0002-8783-3691
Hongxia ZhengState Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200433, China.
Jack NgDepartment of Physics, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Designing a monochromatic spatially-structured light field that recovers the pre-specified profile of optical force (OF) exerted on a particle is an inverse problem. It usually requires high dimensional optimization and involves lengthy calculations, thus remaining little studied despite decades of research on OF. We report here the first attempt to attack this inverse design problem. The modus operandi relies on the back-propagation algorithm, which is facilitated by the currently available machine learning framework, and, in particular, by an exact and efficient expression of OF that shows only polynomial and trigonometric functional dependence on the engineered parameters governing the structured light field. Two illustrative examples are presented in which the inversely designed structured light fields reproduce, respectively, a predefined spatial pattern of OF and a negative longitudinal OF in a transversely trapping area.

Indexed as

back-propagation algorithminverse designoptical forcestructured light field

Identifiers

PMID39635695
PMCPMC11614335

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.