3 papers
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…
math.NA2025
The Complex-Step Integral Transform
Rafael Abreu, Stephanie Durand, Jochen Kamm +2
Building on the well-established connection between the Hilbert transform and derivative operators, and motivated by recent developments in complex-step differentiation, we introdu…