Publications

• Minhan Lou, Yingjie Li, Cunxi Yu, Berardi Sensale-Rodriguez & Weilu Gao (2023). Effects of interlayer reflection and interpixel interaction in diffractive optical neural networks. Optics Letters. Published, 01/2023.
• Yingheng Tang, Princess Tara Zamani, Ruiyang Chen, Jianzhu Ma, Minghao Qi, Cunxi Yu & Weilu Gao (2022). Device-System End-to-End Design of Photonic Neuromorphic Processor Using Reinforcement Learning. Laser & Photonics Review. Published, 12/2022.
• Liang Zhao, Bchara Sidnawi, Jichao Fan, Ruiyang Chen, Thomas Scully, Scott Dietrich, Weilu Gao, Qianhong Wu & Bo Li (2022). Wafer-Scale Full-Coverage Self-Limiting Assembly of Particles on Flexible Substrates. ACS Appl. Mater. Interfaces. Published, 09/2022.
• Ruiyang Chen, Yingjie Li, Minhan Lou, Jichao Fan, Yingheng Tang, Berardi Sensale-Rodriguez, Cunxi Yu & Weilu Gao (2022). Physics-Aware Machine Learning and Adversarial Attack in Complex-Valued Reconfigurable Diffractive All-Optical Neural Network. Laser & Photonics Review. Published, 08/2022.
• Wei Jia, Minhan Lou, Weilu Gao & Berardi Sensale-Rodriguez (2022). Design and fabrication of a terahertz dual-plane hologram and extended-depth-of-focus diffractive lens. Optics Continuum. Published, 07/2022.
• Yingheng Tang, Jichao Fan, Xinwei Li, Jianzhu Ma, Minghao Qi, Cunxi Yu & Weilu Gao (2022). Physics-informed recurrent neural network for time dynamics in optical resonances. Nature Computational Science. Published, 03/2022.
• Huiying Zeng, Jichao Fan, Yibo Zhang, Yikai Su, Ciyuan Qiu & Weilu Gao (2022). Graphene plasmonic spatial light modulator for recon gurable diffractive optical neural network. Optics Express. Published, 03/2022.
• Andrey Baydin, Fuyang Tay, Jichao Fan, Manukumara Manjappa, Weilu Gao & Junichiro Kono (2022). Carbon Nanotube Devices for Quantum Technology. Materials. Published, 02/2022.
• Qi Wang, Shan Yin, Xintong Shi, Jichao Fan, Kang Huang, Weilu Gao, Lijuan Xie & Yibin Ying (2022). High-sensitivity detection of trace imidacloprid and tetracycline hydrochloride by multi-frequency resonance metamaterials. Journal of Food Measurement and Characterization. Published, 02/2022.
• Yohei Yomogida, Kanako Horiuchi, Ryotaro Okada, Hideki Kawai, Yota Ichinose, Hiroyuki Nishidome, Kan Ueji, Natsumi Komatsu, Weilu Gao, Junichiro Kono & Kazuhiro Yanagi (2022). Hall effect in gated single-wall carbon nanotube films. Scientific Reports. Published, 01/2022.
• Weilu Gao, Davoud Adinehloo, Xinwei Li, Ali Mojibpour, Yohei Yomogida, Atsushi Hirano, Takeshi Tanaka, Hiromichi Kataura, Ming Zheng, Vasili Perebeinos & Junichiro Kono (2021). Band structure dependent electronic localization in macroscopic films of single-chirality single-wall carbon nanotubes. Carbon. Published, 07/2021.
• Weilu Gao, Cunxi Yu & Ruiyang Chen (2021). Artificial intelligence accelerators based on graphene optoelectronic devices. Advanced Photonics Research. Vol. 2, 2100048. Published, 06/2021.
• Yingjie Li, Ruiyang Chen, Berardi Sensale-Rodriguez, Weilu Gao & Cunxi Yu (2021). Real-time multi-task diffractive deep neural networks via hardware-software co-design. Scientific reports. Vol. 11, 11013. Published, 05/26/2021.
  https://www.nature.com/articles/s41598-021-90221-7
• Nan Wei, Ying Tian, Yongping Liao, Natsumi Komatsu, Weilu Gao, Alina Lyuleeva‐Husemann, Qiang Zhang, Aqeel Hussain, Er‐Xiong Ding, Fengrui Yao, Janne Halme, Kaihui Liu, Junichiro Kono, Hua Jiang & Esko I Kauppinen (2021). Colors of Single-Wall Carbon Nanotubes. Advanced Materials. Vol. 33, e2006395. Published, 02/2021.
  https://onlinelibrary.wiley.com/doi/full/10.1002/a...
• Ruiqian Wang, Junlang Chen, Liang Chen, Zunzhong Ye, Cui Wu, Weilu Gao, Lijuan Xie & Yibin Ying (2020). Ultrathin and ultradense aligned carbon nanotube membranes for water purification with enhanced rejection performance. Desalination. Vol. 494, 114671. Published, 11/15/2020.
• Nicolas Marquez Peraca, Andrey Baydin, Weilu Gao, Motoaki Bamba & Junichiro Kono (2020). Chapter Three - Ultrastrong light–matter coupling in semiconductors. Semiconductors and Semimetals. Published, 11/2020.
• Xinwei Li, Katsumasa Yoshioka, Qi Zhang, Nicolas Marquez Peraca, Fumiya Katsutani, Weilu Gao, II G Timothy Noe, John D Watson, Michael J Manfra, Ikufumi Katayama, Jun Takeda & Junichiro Kono (2020). Observation of Photoinduced Terahertz Gain in GaAs Quantum Wells: Evidence for Radiative Two-Exciton-to-Biexciton Scattering. Physical review letters. Vol. 125, 167401. Published, 10/16/2020.
• Ruiqian Wang, Wendao Xu, Dinghao Chen, Ruiyun Zhou, Qi Wang, Weilu Gao, Junichiro Kono, Lijuan Xie & Yibin Ying (2020). Ultrahigh-Sensitivity Molecular Sensing with Carbon Nanotube Terahertz Metamaterials. ACS applied materials & interfaces. Vol. 12, 40629-40634. Published, 08/12/2020.

Presentations

• Title: Complex-valued Reconfigurable Diffractive Optical Neural Networks using Cost-effective Spatial Light Modulators Authors: Ruiyang Chen, Yingjie Li, Minhan Lou, Cunxi Yu, and Weilu Gao Conference: 2022 Conference on Lasers and Electro-Optics (CLEO). Conference Paper, Refereed, Presented, 05/2022.
  https://doi.org/10.1364/CLEO_AT.2022.JTh3B.56
• Title: Physics-informed Neural Network for Forecasting Time-domain Signals in Terahertz Resonances Authors: Yingheng Tang, Jichao Fan, Xinwei Li, Jianzhu Ma, Minghao Qi, Cunxi Yu, and Weilu Gao Conference: 2022 Conference on Lasers and Electro-Optics (CLEO). Conference Paper, Refereed, Presented, 05/2022.
  https://doi.org/10.1364/CLEO_AT.2022.JTh3A.44
• Title: Structural Coloration from Self-Limiting Films of Self-Assembled Dielectric Mie Scatters Authors: Jichao Fan, Liang Zhao, Yingheng Tang, Bo Li, Weilu Gao Description: We demonstrate structural coloration from self-limiting films of self-assembled nano to microspheres with accurate layer control. Colors originate from Mie scattering and multilayer structures cover broad colors, which are inferred from structures using neural networks. Conference: 2021 Conference on Lasers and Electro-Optics (CLEO). Conference Paper, Refereed, Presented, 05/09/2021.
• Title: Graphene Optoelectronic Artificial Intelligence Accelerators Authors: Weilu Gao, Cunxi Yu, Ruiyang Chen Description: We present a graphene-based optoelectronic artificial intelligence accelerator using spatial light modulators and photodetectors, design a method of performing accurate calculations using imperfect components, and show the system capability of accelerating a few representative algorithms. Conference: CLEO: QELS_Fundamental Science. Conference Paper, Refereed, Presented, 05/09/2021.