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Abstract: Adapting a Neuro-Physical Inverter to Field Data: A Physics-Coupled Machine Learning Framework for Subsurface Resistivity Estimation in a Blind Geothermal System (AGU25)

Adapting a Neuro-Physical Inverter to Field Data: A Physics-Coupled Machine Learning Framework for Subsurface Resistivity Estimation in a Blind Geothermal System

Jae Deok Kim1,2, Sai Ravela3 and Rob L Evans2, (1)Massachusetts Institute of Technology, Earth, Atmospheric and Planetary Sciences, Cambridge, United States, (2)Woods Hole Oceanographic Institution, Woods Hole, MA, United States, (3)Massachusetts Institute of Technology, Department of Earth, Atmospheric and Planetary Sciences (EAPS), Cambridge, United States
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