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Abstract: Capabilities of IGM 3.0, a GPU-Accelerated Inverse and Forward Ice Flow Model Based on Physics-Informed Convolutional Neural Network (AGU25)

Capabilities of IGM 3.0, a GPU-Accelerated Inverse and Forward Ice Flow Model Based on Physics-Informed Convolutional Neural Network

Guillaume Jouvet1, Brandon Finley2, Thomas Gregov2, Sebastian Rosier3, Samuel Cook4 and Tancrede Leger2, (1)University of Lausanne, Institute of Earth Surface Dynamics, Lausanne, Switzerland, (2)University of Lausanne, Lausanne, Switzerland, (3)University of Zurich, Zurich, Switzerland, (4)FAU, Erlangen, Germany
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