3 papers
physics.geo-ph2026
Implicit Neural Representations Framework for One-Dimensional Magnetotelluric Inversion
Fareeda Begum Shaik, Roshan K. Singh, Pankaj K Mishra
Magnetotelluric (MT) inversion is a very useful technique to image the subsurface electrical resistivity structures. It is used for mineral exploration, geothermal studies, groundw…
physics.geo-ph2026
Three-dimensional inversion of gravity data using implicit neural representations and scientific machine learning
Pankaj K Mishra, Sanni Laaksonen, Jochen Kamm +1
Inversion of gravity data is an important method for investigating subsurface density variations relevant to mineral exploration, geothermal assessment, carbon storage, natural hyd…
physics.geo-ph2026
Backend-agnostic Julia framework for 3D modeling and inversion of gravity data
Nimatullah, Pankaj K Mishra, Jochen Kamm +1
This paper presents a high-performance framework for three-dimensional gravity modeling and inversion implemented in Julia, addressing key challenges in geophysical modeling such a…