研究论文
The paradigm shift of intelligent material design and development for fire safety: progress, challenges, and machine learning
Yuanchuan Ren, Yuhang Lin, Xuejun Zhu, Shiyong Zhao, Renjie Huang, Tingfeng Su, Cheng Wang, Nanqi Ren
Harbin Institute of Technology Panzhihua University Key Laboratory of Nuclear Radiation and Nuclear Energy Technology Tsinghua University
来源Polymer Degradation and Stability
年份2026
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逐年被引趋势
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同类平均 = 1
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学术脉络
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材料 / 化学Flame retardant materials and properties
Fire dynamics and safety research · Thermal and Kinetic Analysis
参考文献 504
The onset temperature (Tg) of As Se1 glasses transition prediction: A comparison of topological and regression analysis methods
被引 74Yue Liu, Tianlu Zhao, Guang Yang · Computational Materials Science · 2017
Adversarial Spatio-Temporal Learning for Video Deblurring
被引 357Kaihao Zhang, Wenhan Luo, Yiran Zhong · IEEE Transactions on Image Processing · 2018
Fire induced progressive collapse potential assessment of steel framed buildings using machine learning
被引 107Feng Fu · Journal of Constructional Steel Research · 2020
此处列出前 3 条
引用本文 2
A mechanistic study on the concentration-dependent pyrolysis behavior of 3D cross-linked epoxy/TPP networks via ReaxFF-MD
被引 0Huang Jiliang, Timothy Bo Yuan Chen, Qian Chen · Chemical Engineering Journal · 2026
Prediction and Joint Optimization of Hardness and Thermal Conductivity of Aluminum-Copper Alloys Based on Machine Learning
被引 0BU Tongtong, LI Xia, LOU Chunxiang · Acta Physica Sinica · 2026
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