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221 results on '"Chen, Liangyao"'

2. A Reinforcement learning method for Optical Thin-Film Design

Author

Jiang, Anqing, Chen, Liangyao, and Yoshie, Osamu

Subjects
Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing, Physics - Optics
Abstract

Machine learning, especially deep learning, is dramatically changing the methods associated with optical thin-film inverse design. The vast majority of this research has focused on the parameter optimization (layer thickness, and structure size) of optical thin-films. A challenging problem that arises is an automated material search. In this work, we propose a new end-to-end algorithm for optical thin-film inverse design. This method combines the ability of unsupervised learning, reinforcement learning(RL) and includes a genetic algorithm to design an optical thin-film without any human intervention. Furthermore, with several concrete examples, we have shown how one can use this technique to optimize the spectra of a multi-layer solar absorber device.

Published
2021

6. A new multilayer optical film optimal method based on deep q-learning

Author

Jiang, Anqing, Yoshie, Osamu, and Chen, LiangYao

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Multi-layer optical film has been found to afford important applications in optical communication, optical absorbers, optical filters, etc. Different algorithms of multi-layer optical film design has been developed, as simplex method, colony algorithm, genetic algorithm. These algorithms rapidly promote the design and manufacture of multi-layer films. However, traditional numerical algorithms of converge to local optimum. This means that the algorithms can not give a global optimal solution to the material researchers. In recent years, due to the rapid development to far artificial intelligence, to optimize optical film structure using AI algorithm has become possible. In this paper, we will introduce a new optical film design algorithm based on the deep Q learning. This model can converge the global optimum of the optical thin film structure, this will greatly improve the design efficiency of multi-layer films.

Published
2018

9. Enhancing Wireless Power Transfer Performance Based on a Digital Honeycomb Metamaterial Structure for Multiple Charging Locations.

Author

Huu Nguyen, Bui, Thanh Son, Pham, Hiep, Le Thi Hong, Anh, Nguyen Hai, Tung, Do Khanh, Khuyen, Bui Xuan, Tung, Bui Son, Lam, Vu Dinh, Zheng, Haiyu, Chen, Liangyao, and Lee, YoungPak

Subjects
WIRELESS power transmission, HONEYCOMB structures, WIRELESS localization, METAMATERIALS, LEAKAGE
Abstract

Enhancing the efficiency is an essential target of the wireless power transfer (WPT) technology. Enabling the WPT systems requires careful control to prevent power from being transferred to unintended areas. This is essential in improving the efficiency and minimizing the flux leakage that might otherwise occur. Selective field localization can effectively reduce the flux leakage from the WPT systems. In this work, we propose a method using a digital honeycomb metamaterial structure that has a property operation as a function of switching between 0 and 1 states. These cavities were created by strongly confining the field by using a hybridization bandgap that arose from wave interaction with a two-dimensional array of local resonators on the metasurface. A WPT efficiency of 64% at 13.56 MHz was achieved by using the metamaterial and improved to 60% compared to the system without the metamaterial with an area ratio of Rx:Tx~1:28. Rx is the receiver coil, and Tx is the transmitter one. [ABSTRACT FROM AUTHOR]

Published
2024
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17. A first-principles study of the electronic structure and mechanical and optical properties of Mn-doped K2SiF6

Author

Zhao, Wuyan, Chen, Kai, Zhou, Jian, Ma, Fengyang, Xu, Youmin, Lei, Yusheng, Chen, Yi-Jinn Lillian, Su, Wan-Sheng, Zheng, Yuxiang, Zhang, Rongjun, Chen, Liangyao, and Wang, Songyou

Abstract

•Doping Mn4+leads to an increase in the lattice constant of K2SiF6.•Mn4+doping causes alterations in the energy band structure of K2SiF6.•Doping with Mn4+enhances the absorption of visible light in K2SiF6.

Published
2024
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23. Metamaterial Perfect Absorbers for Controlling Bandwidth: Single-Peak/Multiple-Peaks/Tailored-Band/Broadband.

Author

Zheng, Haiyu, Pham, Thanh Son, Chen, Liangyao, and Lee, Youngpak

Subjects
ELECTROMAGNETIC wave absorption, RADIATION absorption, ELECTROMAGNETIC radiation, METAMATERIALS, BANDWIDTHS
Abstract

Metamaterial absorbers have garnered significant interest due to their unique electromagnetic properties, which facilitate the efficient absorption of electromagnetic radiation in a specific frequency range or multiple frequency ranges. The metamaterial absorbers are designed based on artificially engineered structures that enable tailored absorption properties. These structures might include multiple resonances or incorporate electrical resistive components to achieve broadband absorption. This review paper provides a comprehensive analysis of the progress made in the field of the bandwidth of metamaterial absorbers, encompassing the underlying design principles, key performance characteristics, diverse applications, and perspectives for further research. The paper draws to a conclusion by outlining the potential future directions for further advancements in this exciting area of research, and highlighting the challenges that need to be addressed for the widespread adoption of metamaterial absorbers. [ABSTRACT FROM AUTHOR]

Published
2024
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28. Enhanced broadband light absorption of ultrathin PtSe2 in metal–insulator–metal structure.

Author

He, Junbo, Chen, Cheng, Liu, Weiming, Zhu, Xudan, Zheng, Yuxiang, Wang, Songyou, Chen, Liangyao, and Zhang, Rongjun

Subjects
METAL-insulator-metal structures, OPTOELECTRONIC devices, VISIBLE spectra, OPTICAL engineering, BREWSTER'S angle, LIGHT absorption, IMPEDANCE matching
Abstract

The enhancement of light absorption in an ultrathin two-dimensional material is critical for its optoelectronic and photonic applications. In this work, we investigated the enhanced light absorption of layered PtSe2 by engineering the optical impedance and the attenuation of the PtSe2-based metal–insulator–metal (MIM) absorber. For a monolayer PtSe2-based MIM absorber, the undesirable impedance mismatch can be compensated for using the top patterned metal array in the MIM structure to achieve near-perfect absorption (99.95%), and the absorption of monolayer PtSe2 is enhanced by 8.6 times in the visible spectra. For a few-layer PtSe2 MIM absorber, the self-impedance of the PtSe2 layer becomes an important factor in modulating the optical absorption and the PtSe2-based absorbers show excellent features with broadband absorption, insensitive to the incident angle and polarization. Our results improve the viability of the PtSe2-based optoelectronic and photonic devices and shed light on the design of absorbers with hybrid 2D materials. [ABSTRACT FROM AUTHOR]

Published
2023
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41. Neural network potential for Zr–Rh system by machine learning

Author

Xie, Kun, primary, Qiao, Chong, additional, Shen, Hong, additional, Yang, Riyi, additional, Xu, Ming, additional, Zhang, Chao, additional, Zheng, Yuxiang, additional, Zhang, Rongjun, additional, Chen, Liangyao, additional, Ho, Kai-Ming, additional, Wang, Cai-Zhuang, additional, and Wang, Songyou, additional

Published
2021
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