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Abstract: Using physics-informed neural networks to constrain ice viscosity from ice-penetrating radar data (AGU25)

Using physics-informed neural networks to constrain ice viscosity from ice-penetrating radar data

George J Lu1, Yongji Wang2, Kavi Gollamudi3, Ching-Yao Lai4 and Jonathan Kingslake1, (1)Lamont-Doherty Earth Observatory, Palisades, United States, (2)New York University, Department of Mathematics, New York, United States, (3)University of California Santa Barbara, Santa Barbara, United States, (4)Stanford University, Department of Geophysics, Stanford, United States
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