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检索条件"机构=Science and Technology on Special System Simulation Laboratory Beijing Simulation Center"
336 条 记 录,以下是11-20 订阅
排序:
Alkaline molten salt thermal treatment of mixed waste plastics for oil production: Insight into the effects of molten salt alkalinity and plastic molecular structure
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Fuel 2025年 399卷
作者: Ren, Yang Dai, Qiqi He, Jing Hu, Hongyun Li, Xian Li, Aijun Zhang, Changbin Yao, Hong State Key Laboratory of Coal Combustion School of Energy and Power Engineering Huazhong University of Science and Technology Wuhan430074 China Research Institute of Huazhong University of Science and Technology in Shenzhen Shenzhen518000 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing100085 China
Pyrolysis has emerged as the primary strategy for recycling waste plastics into oil. However, the low thermal conductivity of plastics results in inefficient heat transfer and extended residence times, which is unfavo... 详细信息
来源: 评论
High Abundance of Atmospheric Sulfonates Derived from Light-Duty Gasoline Vehicles
ACS ES&T Air
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ACS ES&T Air 2025年 第4期2卷 607-614页
作者: Shuang Chen Huixia Han Lihong Ren Yisheng Xu Libin Wu Yuanguan Gao Yuanbi Yi Xinping Yang Mingliang Fu Hang Yin Yan Ding Pingqing Fu State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing 100012 China;School of Earth System Science Tianjin University Tianjin 300072 China School of Earth System Science Tianjin University Tianjin 300072 China State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing 100012 China Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau The Hong Kong University of Science and Technology Hong Kong SAR China State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation Chinese Research Academy of Environmental Sciences Beijing 100012 China
Particulate matter (PM) emissions from light-duty gasoline vehicles (LDGV) pose a threat to both air quality and human health. However, the molecular compositions and chemical properties of these complex mixtures are ...
来源: 评论
Cobalt-copper dual-atom catalyst boosts electrocatalytic nitrate reduction from water
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Journal of Hazardous Materials 2025年 493卷
作者: Wei, Jinshan Lin, Hexing Li, Yi Guo, Ying Liu, Shaoqing Sun, Meng Li, Ya-yun Guangdong Provincial Key Laboratory of New Energy Materials Service Safety & Shenzhen Key Laboratory of Special Functional Materials & Shenzhen Engineering Laboratory for Advance Technology of Ceramics College of Materials Science and Engineering Shenzhen University Shenzhen518060 China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China State Key Laboratory of Environmental Aquatic Chemistry Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing100085 China
Electrochemical nitrate reduction reaction (NO3RR) presents a promising approach for sustainable water denitrification. Yet its practical implementation is hindered by sluggish reaction kinetics. Herein, we develop a ... 详细信息
来源: 评论
Diffusion mechanism simulation of cloud manufacturing complex network based on cooperative game theory
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Journal of systems Engineering and Electronics 2018年 第2期29卷 321-335页
作者: GENG Chao QU Shiyou XIAO Yingying WANG Mei SHI Guoqiang LIN Tingyu XUE Junjie JIA Zhengxuan Economics and Management School Harbin Institute of Technology at Weihai Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Science and Technology on Space System Simulation Laboratory Beijing Simulation Center
Cloud manufacturing is a specific implementation form of the "Internet + manufacturing" strategy. Why and how to develop cloud manufacturing platform(CMP), however, remains the key concern of both platform o... 详细信息
来源: 评论
Research on Credibility Evaluation for Radio Frequency Guided Hardware-In-the-Loop simulation system  36
Research on Credibility Evaluation for Radio Frequency Guide...
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第36届中国控制会议
作者: Yuxiao Wang Tao Chao Chaolei Wang Songyan Wang Harbin Institute of Technology Science and Technology on Special System Simulation Laboratory Beijing Simulation Center
To ensure the effectiveness of the RF(Radio Frequency) guided HILS(Hardware-In-the-Loop simulationsystem,the credibility evaluation was *** present,most of the methods were applied in the case of the simulation ... 详细信息
来源: 评论
Regulation of Shock Response in Cage-Like High-Energy-Density Materials: Competition between Strain Energy and Structural Symmetry
SSRN
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SSRN 2025年
作者: Song, Qingguan Meng, Li Jiang, Shengli Zhang, Lei Mo, Zeyao Institute of Applied Physics and Computational Mathematics Beijing100088 China CAEP Software Center for High Performance Numerical Simulation Beijing100088 China Institute of Chemical Materials China Academy of Engineering Physics Mianyang621999 China School of Materials Science & Engineering Beijing Institute of Technology Beijing100081 China State Key Laboratory of Explosion Science and Safety Protection Beijing Institute of Technology Beijing100081 China
The cage-like structures provide a unique combination of strain energy for enhanced energy storage and hyperstatic constraints to stabilize the system, positioning them as promising pioneers in advancing high-energy-d...
来源: 评论
A Multi-Targets simulation Method Based on Single Channel
A Multi-Targets Simulation Method Based on Single Channel
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2023 International Conference on Electronic Information Engineering and Data Processing, EIEDP 2023
作者: Jing, Boda Jin, Congjun Song, Youbin Beijing Simulation Center Science and Technology on Special System Simulation Laboratory Beijing100854 China
The number of channels for radio frequency simulation system is very limited, and the traditional simulation method of one channel simulating one target is difficult to meet the demand of complex scene simulation. Thi... 详细信息
来源: 评论
Dynamic analysis of rigid-flexible coupling spacecraft based on Euler parameters
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Scientific Reports 2025年 第1期15卷 1-12页
作者: Ji, Yi Zhang, Huan School of Astronautics Harbin Institute of Technology Harbin 150001 China Frontier Science Center for Interaction between Space Environment and Matter Harbin 150001 China National Key Laboratory of Modeling and Simulation for Complex Systems Harbin 150001 China MOE Key Laboratory of Dynamics and Control of Flight Vehicle Beijing Institute of Technology Beijing 100081 China
With the development of aerospace technology, rigid-flexible coupling spacecraft with strong nonlinearity dominates, bringing huge challenges for numerical tools. This paper aims to accurately and quickly analyze the ... 详细信息
来源: 评论
Multiple Algorithms Against Multiple Hardware Architectures: Data-Driven Exploration on Deep Convolution Neural Network  16th
Multiple Algorithms Against Multiple Hardware Architectures:...
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16th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2019
作者: Xu, Chongyang Luan, Zhongzhi Gao, Lan Wang, Rui Zhang, Han Zhang, Lianyi Liu, Yi Qian, Depei Beihang University Beijing China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing China
With the rapid development of deep learning (DL), various convolution neural network (CNN) models have been developed. Moreover, to execute different DL workloads efficiently, many accelerators have been proposed. To ... 详细信息
来源: 评论
NASIL: Neural Network Architecture Searching for Incremental Learning in Image Classification  1
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11th International Symposium on Parallel Architectures, Algorithms and Programming, PAAP 2020
作者: Fu, Xianya Li, Wenrui Chen, Qiurui Zhang, Lianyi Yang, Kai Qing, Duzheng Wang, Rui Beihang University Beijing China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing100854 China
"Catastrophic forgetting" and scalability of tasks are two major challenges of incremental learning. Both of these issues were related to the insufficient capacity of machine learning model and the insuffici... 详细信息
来源: 评论