General & Applied Physics · Physics & Astronomy
Geophysics
The newest papers in Geophysics that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
34 papers, from 7 September 2026 to 4 November 2026: 34 arXiv preprints.
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Newest papers, page 2
Twist Flow for Inverse Problems
In Bayesian inverse problems, posterior sampling requires generating samples that are consistent with given observations while capturing the range of plausible solutions.Self-attention summary networks for subsurface velocity-model building from common-image gathers
Common-image gathers (CIGs) contain physically meaningful information about velocity-model errors through reflector focusing and residual moveout, but in conventional imaging workflows they are…Real-world application of deep learning in large-scale seismic interference attenuation: A case study in the Camie field of Angola
In marine seismic acquisition, seismic interference (SI) occurs when energy from nearby external seismic source(s) is captured.An AI-assisted conditioning and geological interpretation workflow for usage in implicit geological modeling
Implicit modeling and Relative Geologic Time are geological modeling techniques that enable more efficient, faster, less biased and more reproducible modeling results.A library for differentiable signal processing and machine learning on the sphere
The two-dimensional sphere embedded in three-dimensional Euclidean space S2, plays a central role in a variety of scientific and engineering domains, including geophysics, planetary science…Structural Alignment for Reliable Industrial AI: Bridging Physical Reality, Data, Models, and Human Intent
Artificial intelligence is increasingly deployed in critical industrial domains, including healthcare, energy grids, subsurface exploration, where failures can have severe consequences for human…Physical Cross-Modal Masked Autoencoding for Seismic-to-Well Representation Learning
Learning from scientific measurements often requires aligning modalities with different spatial support and resolution.Multisource Remote Sensing and Geospatial Analysis of Vineyard Wildfire Impacts and Resilience: The 2019 Kincade Fire
Working agricultural landscapes are often treated as background to wildfire disasters, even though they are managed fuel mosaics, productive assets, and parts of regional infrastructure systems.A Sentinel-2 benchmark dataset for deep-learning active-fire segmentation across 25 California wildfires
This article describes an open image dataset for developing and evaluating active-fire segmentation methods in satellite imagery.Should All Noises Be Treated Equally: Impact of Input Noise Variability on Neural Network Robustness
Geophysical data collected from active field sites are often contaminated by complex and heterogeneous noise, obscuring weak seismic events, and complicating automated interpretation.Physics-enriched neural solvers for transient ice-flow simulation
Transient glacier simulations with higher-order ice flow require the repeated solution of a nonlinear problem as the geometry evolves.Stress-Testing Dynamical and Generative Downscaling Using Subseasonal Extreme Precipitation Forecasts
Coarse spatial resolution limits the ability of subseasonal prediction models to resolve extreme precipitation.Bayesian deep learning integration of geophysical and drilling data for 3D prediction of copper mineralization and drill targeting: a case study from the Kogodai prospect, Rudny Altai
Exploration drill targeting in structurally complex terranes is hindered by sparse sampling, heterogeneous datasets, and the ambiguity of geophysical inversions.SeisBench DAS: A machine learning framework for Distributed Acoustic Sensing
Fibre optic sensing, such as distributed acoustic sensing (DAS), has become a widespread technology for geophysical studies.
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