Seismology

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3 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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  1. An AI-assisted conditioning and geological interpretation workflow for usage in implicit geological modeling

    Oct 7, 2026Stefan Carpentier, Jan Diederik van Wees, Eva de Boever +5Seismology

    TNO Netherlands Organisation for Applied Scientific Research · Fraunhofer IEG, Fraunhofer Institution for Energy Infrastructures and Geotechnologies, IEG, Aureliusstr. 2, 52062 Aachen, Germany

  2. Real-world application of deep learning in large-scale seismic interference attenuation: A case study in the Camie field of Angola

    Oct 7, 2026Jing Sun, Song HouSeismology

    Delft University of Technology, Faculty of Electrical Engineering, Mathematics and Computer Science, Van Mourik Broekmanweg 6, Delft 2628 XE, The Netherlands. · VIRIDIEN (UK) Ltd, Crompton Way, Manor Royal Estate, Crawley, West Sussex RH10 9QN, UK.

  3. Seismic Site Response Prediction from Sparse Observations Using Finite-Element-Pretrained Latent Dynamics

    Sep 17, 2026Yi Zhu, Su Chen, Xiaojun LiNeural Surrogate ModelingLatent Dynamics Modeling

    State Key Laboratory of Bridge Safety and Resilience, Beijing University of Technology Beijing 100124, China

  4. Solving the Elastic Wave Equation with Physics-Informed Neural Networks: A Robust and Critical Assessment

    Sep 7, 2026Davide Staub, Ben MoseleyNeural PDE SolversPhysics-Informed ML

    Department of Mathematics, ETH Zürich

  5. SeisBench DAS: A machine learning framework for Distributed Acoustic Sensing

    Sep 7, 2026Jannes Münchmeyer, Han Xiao, Frederik TilmannDistributed Acoustic SensingScientific ML

    GFZ Helmholtz Centre for Geosciences · Institute for Geological Sciences, Freie Universität Berlin, Berlin, Germany

  6. Automatic Knowledge Graph Construction and Query for Earthquake Catalogs

    Jul 27, 2026Yuxin Zhou, Huai Zhang, S. Mostafa MousaviKG ConstructionGraph Retrieval-Augmented Generation

    State Key Laboratory of Earth System Numerical Modeling and Application, College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China · Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA 02138, USA

  7. Juxtaposition of Shallow Reservoir-Triggered Seismicity and Deep Tectonic Locking in the Qiaojia-Dongchuan Seismic Gap

    Jul 21, 2026Yuxin Zhou, Huai Zhang, S. Mostafa Mousavi +5Seismology

    State Key Laboratory of Earth System Numerical Modeling and Application, College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China 100049. · Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA 02128, USA

  8. Joint Velocity Slope Diffusion Prior for Structurally Constrained Velocity Model Building

    Jul 6, 2026Francesco Brandolin, Tariq AlkhalifahSeismologyDiffusion Posterior Sampling

    King Abdullah University of Science and Technology (KAUST) Thuwal, Kingdom of Saudi Arabia

  9. Generative wave propagator

    Jul 5, 2026Shijun Cheng, Tariq AlkhalifahPDE Surrogate ModelingOne-Step Generative Modeling

    Division of Physical Science and Engineering King Abdullah University of Science and Technology Thuwal 23955-6900, Saudi Arabia

  10. Probabilistic Inversion with Flow Matching

    Jun 30, 2026Baldur Paulwitz, Stefan BuskeFlow MatchingBayesian Inverse Problems

    Institute of Geophysics and Geoinformatics, TU Bergakademie Freiberg

  11. Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network

    Jun 19, 2026Ryoichiro Agata, Kazuya Shiraishi, Gou Fujie +1Uncertainty QuantificationBayesian Inverse Problems

    Japan Agency for Marine-Earth Science and Technology · Earth Science New Zealand

  12. Contrastive Learning for Seismic Horizon Tracking with Domain-Specific Priors

    Jun 15, 2026Alexandre Thouvenot, Lionel Boillot, Vincent GriponContrastive Learning3D Representation Learning

    IMT Atlantique, LAB-STICC, UMR CNRS 6285, F-29238 Brest, France · TotalEnergies, OneTech, 64000 Pau, France

  13. Learning Earthquake Wave Arrival Time Picking from Labels with Inaccuracies

    Jun 13, 2026Sen Li, Xu Yang, S. Mostafa Mousavi +5Contrastive LearningSeismology

    Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA. · School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, Jiangsu, China · School of Mines, China University of Mining and Technology, Xuzhou, Jiangsu, China +1

  14. When Do Autoregressive Sequence Models Forecast Physical Wavefields? A Controlled Study on Synthetic Seismograms

    Jun 9, 2026Waleed Esmail, Stuart Russell, Jana Klinge +2Multi-Token PredictionSeismology

    Institut für Kernphysik, Universität Münster Wilhelm-Klemm-Straße 9, 48149 Münster, Germany · Institut für Geophysik, Universität Münster Corrensstraße 24, 48149 Münster, Germany · James Cook University, 1 James Cook Drive, Douglas, QLD 4814, Australia +1

  15. Data-Driven Forecasting of three-Component Seismograms Using Transformer Architectures

    Jun 1, 2026Waleed Esmail, Stuart Russell, Jana Klinge +2Multivariate Time Series ForecastingTime Series Forecasting

    Institut für Kernphysik, Universität Münster, Wilhelm-Klemm-Straße 9, 48149, Münster · Institut für Geophysik, Universität Münster, Corrensstraße 24, 48149, Münster · James Cook University, 1 James Cook Drive, Douglas, Queensland, 4814, Australia +1

  16. SubsurfaceGen: Procedural Generation of Field-Scale Earth Models and Seismic Data

    May 28, 2026Joseph Stitt, Pratik Rathore, Madeleine Udell +1Synthetic Data GenerationPDE Surrogate Modeling

    Stanford University

  17. MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding

    May 25, 2026Sai Munikoti, Ian Stewart, Chengping Chai +4Multimodal ReasoningSeismology

    Pacific Northwest National Laboratory (PNNL), Richland, WA 99354 USA · Oak Ridge National Laboratory (ORNL), Oak Ridge, TN 37830 USA · Sandia National Laboratory (SNL), Albuquerque, NM 87123 USA +1

  18. Neural Negative Binomial Regression for Weekly Seismicity Forecasting: Per-Cell Dispersion Estimation and Tail Risk Assessment

    May 20, 2026Alim IgilikProbabilistic ForecastingSeismology

    [physics.geo-ph]

  19. OpenSeisML: Open Large-Scale Real Seismic and well-log Dataset for Generative AI

    May 19, 2026Ipsita Bhar, Huseyin Tuna Erdinc, Thales Souza +2Synthetic Data GenerationTraining Data Curation

    Georgia Institute of Technology, Atlanta, USA · Osokey Ltd, Henley-on-Thames, UK

  20. Deploying Self-Supervised Learning for Real Seismic Data Denoising

    May 11, 2026Giovanny A. M. Arboleda, Claudio D. T. de Souza, Carlos E. M. dos Anjos +6Self-Supervised Image DenoisingSelf-Supervised Learning

    COPPE Federal University of Rio de Janeiro Rio de Janeiro, Brazil · CENPES, Petrobras Rio de Janeiro, Brazil

  21. Total Generalized Variation regularization closes the gap between neural-eld and classical methods in seismic travel-time tomography

    May 11, 2026Isao KurosawaSeismologyPDE Inverse Problems

    IVXA, Japan.

  22. Evaluating PhaseNet on Teleseismic Data with MsPASS

    May 10, 2026Jinxin Ma, Yinzhi Wang, Gary L. Pavlis +1Efficient Neural Network InferenceSeismology

    Texas Advanced Computing Center, The University of Texas at Austin · Department of Earth and Atmospheric Sciences, Indiana University, Bloomington, IN 47405

  23. Real-Time Earthquake Magnitude Classification from Initial P-Waves: Models, Dataset, and Comparative Analysis for South Asia

    May 10, 2026Md Nasiat Hasan Fahim, Md. Abid Ullah Muhib, Rayhanul Amin Tanvir +1Time Series ClassificationSeismology

    Department of Computer Science and Engineering Shahjalal University of Science and Technology Sylhet, Bangladesh

  24. Parameter-Efficient Adaptation of Pre-Trained Vision Foundation Models for Active and Passive Seismic Data Denoising

    Apr 30, 2026Jiahua Zhao, Umair bin Waheed, Jing Sun +3Test-Time AdaptationVision Foundation Model Adaptation

    Computation-based Science and Technology Research Center, The Cyprus Institute, Nicosia, Cyprus · Department of Geosciences, College of Petroleum Engineering and Geosciences, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia · Department of Intelligent Systems, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, Netherlands +2

  25. TRACE: A Multi-Agent System for Autonomous Physical Reasoning for Seismology

    Mar 22, 2026Feng Liu, Xin Cui, Jian Xu +11Physical ReasoningAI Agents for Scientific Discovery

    School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China. · Shanghai Artificial Intelligence Laboratory, Shanghai, China. · School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China. +3

  26. Using Seismic Statistical Features and VQ-VAE to Improve Spatiotemporal Seismicity Predictability

    Date pendingWei Quan, Denise GorseVector-Quantized Variational AutoencoderSeismology

    Department of Computer Science University College London