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Zhi Ping Yan on Muck Rack

Zhi Ping Yan

As seen in: Color Research & Application, Nature, Wiley Online Library, arXiv, PLOS ONE, MDPI, ACS Publications, BioRxiv, Physical Review B
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Articles

Physics-informed inverse identification and dynamic reconstruction of high-speed gear systems with asymmetric mesh stiffness

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By Jianlong Wang, Naige Wang, Zhi Ping Yan, Xiaolei Leng
| Nature Verified
Abstract Gear transmission systems are critical components in engineering applications, yet their dynamic modeling under high-speed conditions remains challenging. This study develops a physics-informed learning framework for inverse identification and model diagnosis in nonlinear gear dynamics. Rather than using PINNs only as a parameter-estimation tool, the proposed framework is employed to examine the structural validity of the classical symmetric mesh-stiffness assumption.
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All-Electric Low-Power Switching of Perpendicular Magnetization by Low-Crystal-Symmetry Weyl Semimetal NbIrTe 4 Click to copy article link Article link copied!

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By Rui Hou, Zhi Ping Yan, Jia-Min Lai
| dx.doi.org
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Computer Science > Machine Learning

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By Zhi Ping Yan, Zhiyao Xu, Kuofeng Gao
| arXiv
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