Physical Sensitivity Kernels Can Emerge in Data-Driven Forward Models: Evidence From Surface-Wave Dispersion
Fuente:
arXiv
Saved in:
| Main Authors: | Yu, Ziye, Cai, Yuqi, Liu, Xin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Framework for Uncertainty Estimation in Seismology Data Processing with Application to Extract Rayleigh Wave Dispersion Curves from Noise Cross-correlation Functions
by: Yu, Ziye, et al.
Published: (2025)
by: Yu, Ziye, et al.
Published: (2025)
A Deep-Learning-Based Framework for Focal Mechanism Determination and Its Application to the 2022 Luding Earthquake Sequence
by: Yu, Ziye, et al.
Published: (2025)
by: Yu, Ziye, et al.
Published: (2025)
Function-Space Decoupled Diffusion for Forward and Inverse Modeling in Carbon Capture and Storage
by: Ju, Xin, et al.
Published: (2026)
by: Ju, Xin, et al.
Published: (2026)
Physics-Driven Self-Supervised Deep Learning for Free-Surface Multiple Elimination
by: Sun, Jing, et al.
Published: (2025)
by: Sun, Jing, et al.
Published: (2025)
EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling
by: Wang, Feng, et al.
Published: (2025)
by: Wang, Feng, et al.
Published: (2025)
Data-Driven Dynamic Friction Models based on Recurrent Neural Networks
by: Cortes, Gaëtan, et al.
Published: (2024)
by: Cortes, Gaëtan, et al.
Published: (2024)
Direct Estimation of Porosity from Seismic Data using Rock and Wave Physics Informed Neural Networks (RW-PINN)
by: Vashisth, Divakar, et al.
Published: (2022)
by: Vashisth, Divakar, et al.
Published: (2022)
PRIME-DP: Pre-trained Integrated Model for Earthquake Data Processing
by: Yu, Ziye, et al.
Published: (2024)
by: Yu, Ziye, et al.
Published: (2024)
Uncertainty-Driven Modeling of Microporosity and Permeability in Clastic Reservoirs Using Random Forest
by: Risha, Muhammad, et al.
Published: (2025)
by: Risha, Muhammad, et al.
Published: (2025)
Toward Trustworthy Earthquake Catalogs in the Era of Automated Detection: A Probabilistic Framework for Robust Earthquake Location
by: Yu, Ziye, et al.
Published: (2025)
by: Yu, Ziye, et al.
Published: (2025)
Physics-Informed Neural Networks for Viscoacoustic Wave Propagation: Forward Modelling, Inversion and Discretization Sensitivity
by: Liang, Chaohua, et al.
Published: (2026)
by: Liang, Chaohua, et al.
Published: (2026)
Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves Propagation
by: Lehmann, Fanny, et al.
Published: (2023)
by: Lehmann, Fanny, et al.
Published: (2023)
Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave Based Neural Tangent Kernel Framework
by: Chen, Ruihua, et al.
Published: (2026)
by: Chen, Ruihua, et al.
Published: (2026)
Data-Driven and Theory-Guided Pseudo-Spectral Seismic Imaging Using Deep Neural Network Architectures
by: Zerafa, Christopher
Published: (2025)
by: Zerafa, Christopher
Published: (2025)
Physics-Trained Neural Network as Inverse Problem Solver for Potential Fields: An Example of Downward Continuation between Arbitrary Surfaces
by: Sun, Jing, et al.
Published: (2025)
by: Sun, Jing, et al.
Published: (2025)
Neural Negative Binomial Regression for Weekly Seismicity Forecasting: Per-Cell Dispersion Estimation and Tail Risk Assessment
by: Igilik, Alim
Published: (2026)
by: Igilik, Alim
Published: (2026)
Real-Time Earthquake Magnitude Classification from Initial P-Waves: Models, Dataset, and Comparative Analysis for South Asia
by: Fahim, Md Nasiat Hasan, et al.
Published: (2026)
by: Fahim, Md Nasiat Hasan, et al.
Published: (2026)
Enforcing Reciprocity in Operator Learning for Seismic Wave Propagation
by: Zou, Caifeng, et al.
Published: (2026)
by: Zou, Caifeng, et al.
Published: (2026)
Generative Latent Diffusion Model for Inverse Modeling and Uncertainty Analysis in Geological Carbon Sequestration
by: Feng, Zhao, et al.
Published: (2025)
by: Feng, Zhao, et al.
Published: (2025)
Integrating Physics of the Problem into Data-Driven Methods to Enhance Elastic Full-Waveform Inversion with Uncertainty Quantification
by: Negahdari, Vahid, et al.
Published: (2024)
by: Negahdari, Vahid, et al.
Published: (2024)
The Physics-Informed Neural Network Gravity Model: Generation III
by: Martin, John, et al.
Published: (2023)
by: Martin, John, et al.
Published: (2023)
Model-Driven GPR Inversion Network With Surrogate Forward Solver
by: Zhou, Huilin, et al.
Published: (2026)
by: Zhou, Huilin, et al.
Published: (2026)
An Empirical Study of Large-Scale Data-Driven Full Waveform Inversion
by: Jin, Peng, et al.
Published: (2023)
by: Jin, Peng, et al.
Published: (2023)
Fully Data-Driven Model for Increasing Sampling Rate Frequency of Seismic Data using Super-Resolution Generative Adversarial Networks
by: Gholizadeh, Navid, et al.
Published: (2024)
by: Gholizadeh, Navid, et al.
Published: (2024)
Seismic Data Interpolation via Denoising Diffusion Implicit Models with Coherence-corrected Resampling
by: Wei, Xiaoli, et al.
Published: (2023)
by: Wei, Xiaoli, et al.
Published: (2023)
A new practical and effective source-independent full-waveform inversion with a velocity-distribution supported deep image prior: Applications to two real datasets
by: Song, Chao, et al.
Published: (2025)
by: Song, Chao, et al.
Published: (2025)
Automated Classification of Volcanic Earthquakes Using Transformer Encoders: Insights into Data Quality and Model Interpretability
by: Suzuki, Y., et al.
Published: (2025)
by: Suzuki, Y., et al.
Published: (2025)
SeisRDT: Latent Diffusion Model Based On Representation Learning For Seismic Data Interpolation And Reconstruction
by: Wang, Shuang, et al.
Published: (2025)
by: Wang, Shuang, et al.
Published: (2025)
Physics-Informed Linear Model (PILM): Analytical Representations and Application to Crustal Strain Rate Estimation
by: Okazaki, Tomohisa
Published: (2025)
by: Okazaki, Tomohisa
Published: (2025)
WaveCastNet: Rapid Wavefield Forecasting for Earthquake Early Warning via Deep Sequence to Sequence Learning
by: Lyu, Dongwei, et al.
Published: (2024)
by: Lyu, Dongwei, et al.
Published: (2024)
SeisFusion: Constrained Diffusion Model with Input Guidance for 3D Seismic Data Interpolation and Reconstruction
by: Wang, Shuang, et al.
Published: (2024)
by: Wang, Shuang, et al.
Published: (2024)
Thermal Earth Model for the Conterminous United States Using an Interpolative Physics-Informed Graph Neural Network (InterPIGNN)
by: Aljubran, Mohammad J., et al.
Published: (2024)
by: Aljubran, Mohammad J., et al.
Published: (2024)
Physics-informed extreme learning machine for Terzaghi consolidation problems and interpretation of coefficient of consolidation based on CPTu data
by: Yang, He, et al.
Published: (2025)
by: Yang, He, et al.
Published: (2025)
Deep Learning-Driven Downscaling for Climate Risk Assessment of Projected Temperature Extremes in the Nordic Region
by: Loganathan, Parthiban, et al.
Published: (2025)
by: Loganathan, Parthiban, et al.
Published: (2025)
Global River Forecasting with a Topology-Informed AI Foundation Model
by: Ren, Hancheng, et al.
Published: (2026)
by: Ren, Hancheng, et al.
Published: (2026)
A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations
by: Gupta, Naveen, et al.
Published: (2024)
by: Gupta, Naveen, et al.
Published: (2024)
Data-driven solar forecasting enables near-optimal economic decisions
by: Dai, Zhixiang, et al.
Published: (2025)
by: Dai, Zhixiang, et al.
Published: (2025)
Effective Data Selection for Seismic Interpretation through Disagreement
by: Benkert, Ryan, et al.
Published: (2024)
by: Benkert, Ryan, et al.
Published: (2024)
Data-driven modeling of time-domain induced polarization
by: Bérubé, Charles L., et al.
Published: (2021)
by: Bérubé, Charles L., et al.
Published: (2021)
SeisLM: a Foundation Model for Seismic Waveforms
by: Liu, Tianlin, et al.
Published: (2024)
by: Liu, Tianlin, et al.
Published: (2024)
Similar Items
-
A Framework for Uncertainty Estimation in Seismology Data Processing with Application to Extract Rayleigh Wave Dispersion Curves from Noise Cross-correlation Functions
by: Yu, Ziye, et al.
Published: (2025) -
A Deep-Learning-Based Framework for Focal Mechanism Determination and Its Application to the 2022 Luding Earthquake Sequence
by: Yu, Ziye, et al.
Published: (2025) -
Function-Space Decoupled Diffusion for Forward and Inverse Modeling in Carbon Capture and Storage
by: Ju, Xin, et al.
Published: (2026) -
Physics-Driven Self-Supervised Deep Learning for Free-Surface Multiple Elimination
by: Sun, Jing, et al.
Published: (2025) -
EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling
by: Wang, Feng, et al.
Published: (2025)