Deep Learning: A Rapid and Efficient Adaptive Design Approach for Phase-Type Optical Needle Modulators
The radially polarized beams are modulated by phase-type optical needle modulators can be tightly focused to create needle-like focused beams, which are called optical needles. The use of optical needles with different resolutions and focal depths as direct writing heads for laser direct lithography...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
|
| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9815511/ |
| _version_ | 1818002502498385920 |
|---|---|
| author | Simo Wang Jiangyong Zhang Fanxing Li Jupu Yang Jixiao Liu Wei Yan |
| author_facet | Simo Wang Jiangyong Zhang Fanxing Li Jupu Yang Jixiao Liu Wei Yan |
| author_sort | Simo Wang |
| collection | DOAJ |
| description | The radially polarized beams are modulated by phase-type optical needle modulators can be tightly focused to create needle-like focused beams, which are called optical needles. The use of optical needles with different resolutions and focal depths as direct writing heads for laser direct lithography enables periodic, cross-scale processing of high aspect ratio micro-nano structures with different line widths. The design of the phase-type optical needle modulators is the key to obtain optical needles with different resolutions and focal depths. However, the existing conventional methods for designing phase-type optical needle modulators rely on the physical model for generating optical needles and the defined fitness function, which makes their design time long and not adaptive. Based on the deep learning, a novel phase-type optical needle modulator design (PONMD) approach is proposed in this paper. The results show that the PONMD method takes 0.5526ms to design a phase-type optical needle modulator, and the similarity between the designed and target values is 96.73%. Compared with the conventional methods, the time consumption is reduced by about 8 orders of magnitude, and the similarity is improved by 11.19%. The PONMD approach has the advantages of adaptability, more efficient, less time-consuming, and less computational resource-consuming. |
| first_indexed | 2024-04-14T03:46:42Z |
| format | Article |
| id | doaj.art-40954a6603674c289218f7ae81417ce8 |
| institution | Directory Open Access Journal |
| issn | 1943-0655 |
| language | English |
| last_indexed | 2024-04-14T03:46:42Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj.art-40954a6603674c289218f7ae81417ce82022-12-22T02:14:12ZengIEEEIEEE Photonics Journal1943-06552022-01-011441910.1109/JPHOT.2022.31883039815511Deep Learning: A Rapid and Efficient Adaptive Design Approach for Phase-Type Optical Needle ModulatorsSimo Wang0https://orcid.org/0000-0003-4082-4250Jiangyong Zhang1Fanxing Li2https://orcid.org/0000-0001-8374-8740Jupu Yang3Jixiao Liu4Wei Yan5https://orcid.org/0000-0002-5796-0569Institute of Optics and Electronics, Chinese Academy Sciences, Chengdu, Sichuan, China54th Research Institute of CETC, Shijiazhuang, ChinaInstitute of Optics and Electronics, Chinese Academy Sciences, Chengdu, Sichuan, ChinaInstitute of Optics and Electronics, Chinese Academy Sciences, Chengdu, Sichuan, ChinaInstitute of Optics and Electronics, Chinese Academy Sciences, Chengdu, Sichuan, ChinaInstitute of Optics and Electronics, Chinese Academy Sciences, Chengdu, Sichuan, ChinaThe radially polarized beams are modulated by phase-type optical needle modulators can be tightly focused to create needle-like focused beams, which are called optical needles. The use of optical needles with different resolutions and focal depths as direct writing heads for laser direct lithography enables periodic, cross-scale processing of high aspect ratio micro-nano structures with different line widths. The design of the phase-type optical needle modulators is the key to obtain optical needles with different resolutions and focal depths. However, the existing conventional methods for designing phase-type optical needle modulators rely on the physical model for generating optical needles and the defined fitness function, which makes their design time long and not adaptive. Based on the deep learning, a novel phase-type optical needle modulator design (PONMD) approach is proposed in this paper. The results show that the PONMD method takes 0.5526ms to design a phase-type optical needle modulator, and the similarity between the designed and target values is 96.73%. Compared with the conventional methods, the time consumption is reduced by about 8 orders of magnitude, and the similarity is improved by 11.19%. The PONMD approach has the advantages of adaptability, more efficient, less time-consuming, and less computational resource-consuming.https://ieeexplore.ieee.org/document/9815511/Optical needlesphase-type optical needle modulatorsdeep learninglaser direct lithographyhigh aspect ratio micro-nano structures |
| spellingShingle | Simo Wang Jiangyong Zhang Fanxing Li Jupu Yang Jixiao Liu Wei Yan Deep Learning: A Rapid and Efficient Adaptive Design Approach for Phase-Type Optical Needle Modulators IEEE Photonics Journal Optical needles phase-type optical needle modulators deep learning laser direct lithography high aspect ratio micro-nano structures |
| title | Deep Learning: A Rapid and Efficient Adaptive Design Approach for Phase-Type Optical Needle Modulators |
| title_full | Deep Learning: A Rapid and Efficient Adaptive Design Approach for Phase-Type Optical Needle Modulators |
| title_fullStr | Deep Learning: A Rapid and Efficient Adaptive Design Approach for Phase-Type Optical Needle Modulators |
| title_full_unstemmed | Deep Learning: A Rapid and Efficient Adaptive Design Approach for Phase-Type Optical Needle Modulators |
| title_short | Deep Learning: A Rapid and Efficient Adaptive Design Approach for Phase-Type Optical Needle Modulators |
| title_sort | deep learning a rapid and efficient adaptive design approach for phase type optical needle modulators |
| topic | Optical needles phase-type optical needle modulators deep learning laser direct lithography high aspect ratio micro-nano structures |
| url | https://ieeexplore.ieee.org/document/9815511/ |
| work_keys_str_mv | AT simowang deeplearningarapidandefficientadaptivedesignapproachforphasetypeopticalneedlemodulators AT jiangyongzhang deeplearningarapidandefficientadaptivedesignapproachforphasetypeopticalneedlemodulators AT fanxingli deeplearningarapidandefficientadaptivedesignapproachforphasetypeopticalneedlemodulators AT jupuyang deeplearningarapidandefficientadaptivedesignapproachforphasetypeopticalneedlemodulators AT jixiaoliu deeplearningarapidandefficientadaptivedesignapproachforphasetypeopticalneedlemodulators AT weiyan deeplearningarapidandefficientadaptivedesignapproachforphasetypeopticalneedlemodulators |