研究论文
Comparative deep-learning framework for pyrolytic prediction of propellant mixture system: Transformer, convolutional neural network and U-shaped convolutional neural network based individual versus sequential analyses
Linxuan Zhu, Mi Li, Xingliang Wu, Sen Xu, Yifan Guo, Lin Jiang
Nanjing University of Science and Technology University of Science and Technology of China State Key Laboratory of Fire Science
来源Journal of Analytical and Applied Pyrolysis
年份2025
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逐年被引趋势
530
526
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5
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1.64
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 17%
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同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
23
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学术脉络
学科主题
工程Energetic Materials and Combustion
Thermal and Kinetic Analysis · Machine Learning in Materials Science
参考文献 23
Thermal decomposition of ammonium perchlorate—A TGA–FTIR–MS study: Part I
被引 131Lovely Mallick, Sudarshan Kumar, Arindrajit Chowdhury · Thermochimica Acta · 2015
Size and Shape of Ammonium Perchlorate and their Influence on Properties of Composite Propellant
被引 89Sunil Jain, Mehilal Mehilal, Sundaramoorthy Nandagopal · Defence Science Journal · 2009
Combustion Response of Ammonium Perchlorate
被引 23Michael Shusser, F. E. C. Culick, Norman S. Cohen · AIAA Journal · 2002
此处列出前 3 条
引用本文 5
Elucidating the role of Cu3Mo2O9 copper molybdate in regulating copper-molybdenum metal oxide-based thermite systems: An in-depth investigation
被引 2Zhan-Jun Yang, Li Mi, Y N Wu · Applied Thermal Engineering · 2026
Low-cost mesoporous SiO2 enables enhanced combustion and energy release in Al-Mg/AP energetic composites
被引 0Sen Liu, Li Mi, Zhanjun Yang · Applied Thermal Engineering · 2026
Reliability-oriented assessment of sequential sensitivity testing methods for energetic-material safety characterization: Distribution misspecification and extreme-quantile analysis based on a composite solid propellant
被引 0Wen-Jie Xu, Mi Li, Lin Jiang · Process Safety and Environmental Protection · 2026
按被引量排序,此处列出前 3 条