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Ming Zhong

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Articles

Mathematics > Numerical Analysis

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By Chunyang Liao, Ming Zhong
| arXiv
Machine learning-based partial differential equations (PDEs) solvers have attracted significant attention in recent years. Most progress in this area has been driven by deep neural networks such as physics-informed neural networks (PINNs) and kernel method (such as physics-informed Gaussian Processes).
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Preparation and Properties of Alicyclic Epoxy Resin Modified by Polycaprolactone Diol Flexible Chain

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By Ming Zhong, Zhaoqun Pan, Zhiliang Shen
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement All data generated or analyzed during this study are included in this published article. References 1, , , and , “Advances in Toughening Modification Methods for Epoxy Resins: A Comprehensive Review,” Polymers 17, no. 9 (2025): 1288. 2, , , et al., “Nano-Phase Structures and Mechanical Properties of Epoxy/Acryl Triblock Copolymer Alloys,” Polymer 52, no. 3 (2011): 760–768.
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Su1467 HIERARCHICAL DISINTEGRATION OF THE GUT ECOSYSTEM DRIVES INFLAMMATORY BOWEL DISEASE

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By Yanyan Guo, Yunhao Li, Cong Qian, Ming Zhong, Jingjing Wang, Lu Zhang, Wai Keung Leung
| Gastrointestinal Endoscopy Verified
Also available on ScienceDirect
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