ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines by Hwijae Son

Subjects: “…DeepONets…”
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DLTM: a deep learning method for tearing mode simulation and prediction by Zhipeng Chang, Baofeng Gao, Ruijie Yin, Xiaofei Zhao

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Neural operator for observer gains and output-feedback control of coupled PDE–ODE systems by Malihe Abdolbaghi, Seyed Amir Hossein Tabatabaei, Mohammad Keyanpour

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Parametric deep learning model for predicting bearing capacity of strip foundation via neural operator by Tongtong Niu, Maosong Huang, Jian Yu

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Prediction of Spectral Response for Explosion Separation Based on DeepONet by Xiaoqi Chen, Zhanlong Qu, Yuxi Wang, Zihao Chen, Ganchao Chen, Xiao Kang, Ying Li

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Bridging Hydrological Ensemble Simulation and Learning Using Deep Neural Operators by Alexander Y. Sun, Peishi Jiang, Pin Shuai, Xingyuan Chen

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Temperature Field Prediction of Glulam Timber Connections Under Fire Hazard: A DeepONet-Based Approach by Jing Luo, Guangxin Tian, Chen Xu, Shijie Zhang, Zhen Liu

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Efficient and generalizable nested Fourier-DeepONet for three-dimensional geological carbon sequestration by Jonathan E. Lee, Min Zhu, Ziqiao Xi, Kun Wang, Yanhua O. Yuan, Lu Lu

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