Chaohui Wu on Muck Rack

Chaohui Wu

As seen in: Nature
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Articles

Deep learning-driven performance prediction and design of high-DoF MEMS resonators

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By Zeyu Jia, Chaohui Wu, Maoyun Li, Wenhui Yan, Xiaoxu Wang, Miao Lei, Jiaxin Sun, Shuang Wu, Wukai Li, Yuhao Wang, Pengfei Li, Qianbo Lu, Chaoyue Shi, Dehua Tan
| Nature
Abstract The design of microelectromechanical systems (MEMS) resonators has long been hindered by high computational costs and restricted structural degrees of freedom. This study introduces a structural design framework based on a residual network-enabled solver (ResNES) for rapid physical performance prediction and efficient optimization of MEMS resonators.
Open in Who Shared Issue with article?

Computer Science > Artificial Intelligence

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By Shangdong Yang, Chaohui Wu, Jinguo Ye
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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