Contents
2024
Volume: 6 Issue 5
16 Article(s)

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News and Commentaries
Reviews
Machine learning for perovskite optoelectronics: a review
Feiyue Lu, Yanyan Liang, Nana Wang, Lin Zhu, and Jianpu Wang
Metal halide perovskite materials have rapidly advanced in the perovskite solar cells and light-emitting diodes due to their superior optoelectronic properties. The structure of perovskite optoelectronic devices includes the show more
Advanced Photonics
  • Publication Date: Aug. 27, 2024
  • Vol. 6, Issue 5, 054001 (2024)
Research Articles
Ultra-wide FOV meta-camera with transformer-neural-network color imaging methodology
Yan Liu, Wen-Dong Li, Kun-Yuan Xin, Ze-Ming Chen..., Zun-Yi Chen, Rui Chen, Xiao-Dong Chen, Fu-Li Zhao, Wei-Shi Zheng and Jian-Wen Dong|Show fewer author(s)
Planar cameras with high performance and wide field of view (FOV) are critical in various fields, requiring highly compact and integrated technology. Existing wide FOV metalenses show great potential for ultrathin optical comshow more
Advanced Photonics
  • Publication Date: May. 20, 2024
  • Vol. 6, Issue 5, 056001 (2024)
Authentication through residual attention-based processing of tampered optical responses | On the Cover
Blake Wilson, Yuheng Chen, Daksh Kumar Singh, Rohan Ojha..., Jaxon Pottle, Michael Bezick, Alexandra Boltasseva, Vladimir M. Shalaev and Alexander V. Kildishev|Show fewer author(s)
The global chip industry is grappling with dual challenges: a profound shortage of new chips and a surge of counterfeit chips valued at $75 billion, introducing substantial risks of malfunction and unwanted surveillance. To cshow more
Advanced Photonics
  • Publication Date: Jul. 17, 2024
  • Vol. 6, Issue 5, 056002 (2024)
Multiplane quantitative phase imaging using a wavelength-multiplexed diffractive optical processor
Che-Yung Shen, Jingxi Li, Yuhang Li, Tianyi Gan..., Langxing Bai, Mona Jarrahi and Aydogan Ozcan|Show fewer author(s)
Quantitative phase imaging (QPI) is a label-free technique that provides optical path length information for transparent specimens, finding utility in biology, materials science, and engineering. Here, we present QPI of a thrshow more
Advanced Photonics
  • Publication Date: Jul. 25, 2024
  • Vol. 6, Issue 5, 056003 (2024)
Superresolution imaging using superoscillatory diffractive neural networks
Hang Chen, Sheng Gao, Haiou Zhang, Zejia Zhao..., Zhengyang Duan, Gordon Wetzstein and Xing Lin|Show fewer author(s)
Optical superoscillation enables far-field superresolution imaging beyond diffraction limits. However, existing superoscillatory lenses for spatial superresolution imaging systems still confront critical performance limitatioshow more
Advanced Photonics
  • Publication Date: Oct. 07, 2024
  • Vol. 6, Issue 5, 056004 (2024)
Diffraction casting
Ryosuke Mashiko, Makoto Naruse, and Ryoichi Horisaki
Advanced Photonics
  • Publication Date: Oct. 03, 2024
  • Vol. 6, Issue 5, 056005 (2024)
Nested deep transfer learning for modeling of multilayer thin films
Rohit Unni, Kan Yao, and Yuebing Zheng
Machine-learning techniques have gained popularity in nanophotonics research, being applied to predict optical properties, and inversely design structures. However, one limitation is the cost of acquiring training data, as coshow more
Advanced Photonics
  • Publication Date: Oct. 08, 2024
  • Vol. 6, Issue 5, 056006 (2024)
Large-scale optical programmable logic array for two-dimensional cellular automaton
Wenkai Zhang, Bo Wu, Wentao Gu, Junwei Cheng..., Hailong Zhou, Dongmei Huang, Ping-kong Alexander Wai, Liao Chen, Wenchan Dong, Jianji Dong and Xinliang Zhang|Show fewer author(s)
Despite more than 40 years of development, it remains difficult for optical logic computing to support more than four operands because the high parallelism of light has not been fully exploited in current methods that are resshow more
Advanced Photonics
  • Publication Date: Oct. 17, 2024
  • Vol. 6, Issue 5, 056007 (2024)
Versatile cascade migrating photon avalanches for full-spectrum extremely nonlinear emissions and super-resolution microscopy
Hui Wu, Binxiong Pan, Qi Zhao, Chenyi Wang..., Rui Pu, Chang Liu, Zeheng Chen, Zewei Luo, Jing Huang, Wei Wei, Tongsheng Chen and Qiuqiang Zhan|Show fewer author(s)
Photon avalanche occurring in lanthanide-doped materials exhibits a giant optical nonlinear response of the emission intensity to the excitation intensity, which holds great potential in the applications of optical sensing, sshow more
Advanced Photonics
  • Publication Date: Sep. 18, 2024
  • Vol. 6, Issue 5, 056010 (2024)
Reconfigurable integrated photonic processor for NP-complete problems
Xiao-Yun Xu, Tian-Yu Zhang, Zi-Wei Wang, Chu-Han Wang, and Xian-Min Jin
Advanced Photonics
  • Publication Date: Sep. 24, 2024
  • Vol. 6, Issue 5, 056011 (2024)

About the Cover

Recently, researchers invented an optical counterfeit detection method that leverages deep learning to identify adversarial tampering in chips: residual attention-based processing of tampered optical responses (RAPTOR). RAPTOR is capable of identifying adversarial tampering to optical PUFs based on randomly patterned arrays of gold nanoparticles. Offering robustness against various adversarial attacks, RAPTOR demonstrates great potential for AI in the semiconductor industry.