The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Physics-guided neural network for magnetotelluric inversion: investigating activation, loss, uncertainty, and application to highly conductive layer (AGU25)

Physics-guided neural network for magnetotelluric inversion: investigating activation, loss, uncertainty, and application to highly conductive layer

Longying Xiao, Pankaj K Mishra, Hanli Qiao and Jochen Kamm, Geological Survey of Finland, Espoo, Finland
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