Geophysics & seismology
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619 studies
- A Spectral-Domain Pseudo-Inverse Method for True 3D Gravity Inversion
- The impact of the Canterbury earthquakes on household income and expenditure in the Canterbury region in New Zealand
- A Reduced Madelung-Type Model for Seismic Activation: Localization Dynamics and Baseline-Aware Validation
- Wave reflections from sub-marine valleys and canyons
- Long-term trends of carbon monoxide over the North Pacific upper troposphere from in-situ airplane measurements 1991–2018
- Event-Centric Earthquake Monitoring with a Multi-Station Transformer
- CartoVec: General-Purpose Location Embeddings from Open Map Data
- Bayesian Inversion Beyond the Generator's Range: Reducing Non-physical Constraints from Generative Neural Networks
- Multivariate phase-space interpretation of ensemble forecasts: A comparison of physical and AI models
- Global Structure-Constrained 4D prestack inversion
- Planar intrusions from a narrow, jet-like source in a linearly stratified ambient
- Human-centred design approaches to tsunami mitigation under sea level rise in Kesennuma, Japan
- Apatite sulfur signatures reveal melt–fluid remiscibility at low temperature in felsic systems
- Physics-informed deep learning links geodetic data and fault friction
- Along-strike stress delays the ordering of slip on a fixed-length fault
- Evaluating Dynamic Viability of Finite-Fault Slip Models with Ensemble Kalman Inversion
- Tracing missing copper: ultrapotassic rocks record isotopic evidence of crustal Cu depletion
- Petrographic and magnetic fabric evidence for magmatic emplacement and hydrothermal alteration in the Shadan Au porphyry deposit, Eastern Iran
- Coupled U–Pb geochronology of inherited and detrital zircon in the Iberian Massif: insights into its deep structure and geodynamic evolution
- Sensitivity Fidelity Reveals Physical Dependencies Beyond Forecast Accuracy in Deep-Learning Earth-System Models
- Full Waveform Inversion with a Learned Preconditioner
- Depth-progressive 3D seismic velocity model building via 2D generative diffusion models
- Latent Diffusion Modeling of Two- and Three-dimensional Fracture Networks with Sparse Observation Conditioning
- A thermodynamically consistent theory of multicomponent porous media: finite-deformation mechanics, compositional flow, electrostatics, reactions, and phase transformations
- Simultaneous spectral induced polarization and X-ray µCT imaging to investigate pore-scale dynamics and geoelectrical responses during stepwise drainage–imbibition experiment in porous media