Qinglin Niu

Corrosion Behavior of 304 Stainless Steel in Mixed Amine Absorbents

Shuifei Li, Pengfei Zhu, Yongping Liu, Lang Wang et autres

Against the backdrop of global warming, carbon dioxide capture technologies are advancing rapidly. The chemical absorption method using organic amines as absorbents is one of the most widely used technologies in industry. Mixed organic amine absorbents show great promise for practical application; …

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Estimating SPAD of tea leaf using UAV multispectral remote sensing based on stacking ensemble learning

Hongfei Lü, Qinglin Niu, Renyong Cao, Delin Shi et autres

Chlorophyll content (SPAD) is a key indicator of tea plant photosynthetic capacity and health. The remote sensing monitoring of tea chlorophyll has problems such as poor model stability and spectral saturation in areas with high chlorophyll values. Addressing the challenges of labour-intensive, …

Estimating SPAD of tea leaf using UAV multispectral remote sensing based on stacking ensemble learning

Hongfei Lü, Qinglin Niu, Renyong Cao, Delin Shi et autres

Chlorophyll content (SPAD) is a key indicator of tea plant photosynthetic capacity and health. The remote sensing monitoring of tea chlorophyll has problems such as poor model stability and spectral saturation in areas with high chlorophyll values. Addressing the challenges of labour-intensive, …

Identifying the spectral radiative properties of micro-porous materials based on transmittance/reflectance

Wenqiang Gao, Yu Shi, Jiaqi Li, Qinglin Niu et autres

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Study on the effects of combustion chamber pressure on plume flow and infrared radiation characteristics of same-class-different-type rocket engines

Tanxiao Zhu, Rongze Guo, Jingjie He, Yuanhao Sun et autres

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Experimental study of bremsstrahlung γ -ray emission and short-range correlations in Sn 124 + Sn 124 collisions at 25 MeV/nucleon

J. Xu, Qinglin Niu, Yuhao Qin, Dawei Si et autres

Short-range correlation (SRC) in nuclei refers to nucleons forming temporally correlated pairs in close proximity, giving rise to the high momentum of the nucleons beyond the Fermi surface. It has been reported that bremsstrahlung $γ$ production from neutron-proton process in heavy-ion reactions …

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Assessment of turbulence–chemistry interaction models on infrared radiation of rocket exhaust plumes

Jie Ma, Wenqiang Gao, Qinglin Niu, Shikui Dong

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IR signature surrogate model of ground-based rocket exhaust plumes based on convolutional neural network

Qinglin Niu, Panpan Yan, Xiaying Meng, Rong Lv et autres

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Precise measurement of short-range correlations in nuclei from bremsstrahlung gamma-ray emission in low-energy heavy-ion collisions

J. Xu, Qinglin Niu, Yuhao Qin, Dawei Si et autres

Atomic nuclei and dense nucleonic matter in neutron stars exhibit short-range correlations (SRCs), where nucleons form temporally correlated pairs in close proximity beyond mean-field approximation. It is essential to make precision measurement of the fraction of SRC since it carries the signature …

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Numerical Study on Infrared Radiation Signatures of Debris During Projectile Impact Damage Process

Wenqiang Gao, Teng Zhang, Qinglin Niu

High-speed impact is a critical mechanism for structural damage. The infrared signatures generated during fragment formation provide essential data for damage assessment, protective system design, and target identification. This study investigated an aluminum alloy blunt projectile penetrating a target plate by employing …

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Corrigendum to “Numerical study on the suppression effect of potassium salt on the infrared radiation signatures of rocket exhaust plumes” [Case Stud. Therm. Eng. 73 (2025) 106681]

Qinglin Niu, Jinliang Ma, Wenqiang Gao, Xiaying Meng et autres

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Beam Profile Prediction of High-Repetition-Rate SBS Pulse Compression Using Convolutional Neural Networks

Hongli Wang, Panpan Yan, Qinglin Niu

Fast prediction of beam quality in SBS pulse compression for high-repetition-rate operation is urgently important for SBS experimental parameter acquisition. In this study, a fast computational prediction model for SBS beam profiles is developed using a convolutional neural network (CNN) method, which …

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