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Abstract: Modeling Photosynthesis and Plant Hydraulics Using a Differentiable Physics-Informed Machine Learning Framework (AGU25)

Modeling Photosynthesis and Plant Hydraulics Using a Differentiable Physics-Informed Machine Learning Framework

Doaa Aboelyazeed1, Chonggang Xu2, Lianhong Gu3, Xiangzhong Luo4, Forrest Hoffman5, Jiangtao Liu6, Kathryn Lawson7 and Chaopeng Shen7, (1)Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, PA, United States, (2)Los Alamos National Lab, Los Alamos, United States, (3)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN, United States, (4)Lawrence Berkeley National Lab, Department of Geography, Singapore, Singapore, (5)Oak Ridge National Laboratory, Computational Sciences & Engineering Division, Oak Ridge, United States, (6)Pennsylvania State University, Department of Civil and Environmental Engineering, University Park, United States, (7)Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, United States
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