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    Deep empirical neural network for optical phase retrieval over a scattering medium by Huaisheng Tu, Haotian Liu, Tuqiang Pan, Wuping Xie, Zihao Ma, Fan Zhang, Pengbai Xu, Leiming Wu, Ou Xu, Yi Xu, Yuwen Qin

    Published 2025-02-01
    “…Abstract Supervised learning, a popular tool in modern science and technology, thrives on huge amounts of labeled data. …”
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    Recent Advances in Fiber-Optic Sensors for the Detection of Inorganic Acidic Gases by Lingnan Kong, Yuanke Gong, Xiaoyu Zhong, Yang Liu, Bo Wan, Quanhua Xie, Yuanyuan He, Xiaoling Peng, Haixing Chang, Dengjie Zhong, Huiling Liu, Nianbing Zhong

    Published 2024-06-01
    “…Therefore, the demand for inorganic acidic gas sensors for air quality monitoring and management has continuously increased, enabling the development of various sensing technologies. Among them, fiber-optic sensors are promising for acidic gas detection because of their excellent in-situ measurement, resistance to corrosion, anti-electromagnetic interference, long service life, and smart structure. …”
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    Review on Hollow-Core Fiber Based Multi-Gas Sensing Using Raman Spectroscopy by Qilu Nie, Zhixiong Liu, Mengen Cheng, Shilong Pei, Dexun Yang, Donglai Guo, Minghong Yang

    Published 2024-05-01
    “…This paper reviews the latest research progress of the multi-gas sensing technology in the Raman spectroscopy, focusing on using the hollow-core fiber to enhance the gas signal intensity. …”
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    Optimization and potential assessment of CO2 geological storage caprock in the saline aquifers of the Qingjiang Basin, middle and lower reaches of the Yangtze River by Yuchen Tian, Shiqi Liu, Sijian Zheng, Shuxun Sang, Yinghai Liu, Shiheng Chen, Helong Zhang, Yanzhi Liu, Yuntian Jiang, Zekun Yue, Wenkai Wang

    Published 2025-04-01
    “…CO2 geological storage is seen as a key technology for reaching carbon neutrality. The Qingjiang Basin, located in Jiangxi, China, is experiencing rapid industrialization and urbanization leading to increased natural resource and energy consumption. …”
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