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publications

Spatially and Spectrally Resolved Narrowband Optical Absorber Based on 2D Grating Nanostructures on Metallic Films

Published in Advanced Optical Materials, 2016

We propose a narrowband plasmonic absorber with high Q-factor (~100).

Recommended citation: Yurui Qu, Qiang Li, Hanmo Gong, Kaikai Du, Songang Bai, Ding Zhao, Hui Ye, Min Qiu, Advanced Optical Materials, 2016, 3(4): 480-486 https://onlinelibrary.wiley.com/doi/abs/10.1002/adom.201500651

Dynamic Thermal Emission Control Based on Ultrathin Plasmonic Metamaterials Including Phase-Changing Material GST (ESI Highly Cited Paper)

Published in Laser & Photonics Reviews, 2017

In this paper, an ultrathin (∼0.023λ, λ is the emission peak wavelength) metal-insulator-metal plasmonic metamaterial-based zero-static-power mid-infrared thermal emitter incorporating phase-changing material GST is experimentally demonstrated to dynamically control the thermal emission.

Recommended citation: Yurui Qu, Qiang Li, Kaikai Du, Lu Cai, Jun Lu, Min Qiu, Laser & Photonics Reviews, 2017, 5(11): 1700091. https://onlinelibrary.wiley.com/doi/abs/10.1002/lpor.201700091

Thermal Camouflage Based on The Phase-Changing Material GST (ESI Highly Cited Paper)

Published in Light: Science & Applications, 2018

A thermal camouflage device incorporating the phase-changing material Ge2Sb2Te5 (GST) is experimentally demonstrated.

Recommended citation: Yurui Qu, Qiang Li, Lu Cai, Meiyan Pan, Pintu Ghosh, Kaikai Du, Min Qiu, Light: Science & Applications, 2018, 7(1): 26. https://www.nature.com/articles/s41377-018-0038-5

Migrating Knowledge between Physical Scenarios Based on Artificial Neural Networks

Published in ACS Photonics, 2019

We propose to use transfer learning methods to migrate knowledge between different physical scenarios and significantly improve the prediction accuracy of artificial neural networks trained on a small data set.

Recommended citation: Yurui Qu, Li Jing, Yichen Shen, Min Qiu, Marin Soljacic, ACS Photonics, 2019, 6(5): 1168-1174 https://pubs.acs.org/doi/abs/10.1021/acsphotonics.8b01526

Resonance for Analog Recurrent Neural Network

Published in ACS Photonics, 2022

We demonstrate that resonance can be used to construct stable and scalable optical recurrent neural networks (RNN) and Long Short-Term Memory (LSTM)

Recommended citation: Yurui Qu, Ming Zhou, Erfan Khoram, Nanfang Yu, Zongfu Yu, ACS Photonics, 2022, 9(5): 1647-1654. https://pubs.acs.org/doi/abs/10.1021/acsphotonics.1c02016

A solution-processed radiative cooling glass

Published in Science, 2023

We developed a randomized photonic composite consisting of a microporous glass framework that features selective LWIR emission along with relatively high solar reflectance and aluminum oxide particles that strongly scatter sunlight and prevent densification of the porous structure during manufacturing.

Recommended citation: Xinpeng Zhao, Tangyuan Li, Hua Xie, He Liu, Lingzhe Wang, Yurui Qu, Stephanie C. Li, Shufeng Liu, Alexandra H. Brozena, Zongfu Yu, Jelena Srebric and Liangbing Hu "A solution-processed radiative cooling glass." Science 382.6671 (2023): 684-691. https://www.science.org/doi/abs/10.1126/science.adi2224

Sparsity for ultrafast material identification

Published in Laser & Photonics Reviews, 2024

We propose an ultra-fast, portable, and inexpensive method to identify materials based on the sparsity of the problem.

Recommended citation: Yurui Qu, Qingyi Zhou, Jin Xiang, Zongfu Yu, Laser Photonics Reviews, 2024, 2300069: 1-7. https://onlinelibrary.wiley.com/doi/full/10.1002/lpor.202300069

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015