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Abstract: VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model for Groundwater Flow Modeling and Parameter Estimation (AGU25)

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model for Groundwater Flow Modeling and Parameter Estimation

Alexandre M Tartakovsky1, Yifei Zong1,2 and Yuanzhe Wang3, (1)University of Illinois at Urbana Champaign, Civil and Environmental Engineering, Champaign, United States, (2)Zhengzhou University, School of Water Conservancy and Transportation, Zhengzhou, China, (3)University of Illinois at Urbana Champaign, Civil and Environmental Engineering, Urbana, United States
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