Papers

• Constructing Extreme Heatwave Storylines with Differentiable Climate Models (2025)
  Tim Whittaker and Alejandro Di Luca
  5.40
• Generative Latent Diffusion Model for Inverse Modeling and Uncertainty Analysis in Geological Carbon Sequestration (2025)
  Zhao Feng et al.
  3.92
• Full-waveform earthquake source inversion using simulation-based inference (2024)
  A. A. Saoulis et al.
  2.49
• A Machine-Learning-Based Gas Lift Optimization Workflow for Unconventional Fields (2026)
  Sha (Sasha) et al.
  2.00
• Towards Efficient and Stable Ocean State Forecasting: A Continuous-Time Koopman Approach (2026)
  Rares Grozavescu et al.
  1.78
• Physics-Informed Diffusion Model for Generating Synthetic Extreme Rare Weather Events Data (2026)
  Marawan Yakout et al.
  1.78
• Feature-based Inversion of 2.5D Controlled Source Electromagnetic Data using Generative Priors (2026)
  Hongyu Zhou et al.
  1.67
• Enhancing lithological interpretation from petrophysical well log of IODP expedition 390/393 using machine learning (2025)
  Raj Sahu et al.
  1.61
• Direct Estimation of Porosity from Seismic Data using Rock and Wave Physics Informed Neural Networks (RW-PINN) (2022)
  Divakar Vashisth and Tapan Mukerji
  1.60
• A reduced-order derivative-informed neural operator for subsurface fluid-flow (2025)
  Jeongjin Park et al.
  1.44
• Seismic inversion using hybrid quantum neural networks (2025)
  Divakar Vashisth et al.
  1.11
• PreAdaptFWI: Pretrained-Based Adaptive Residual Learning for Full-Waveform Inversion Without Dataset Dependency (2025)
  Xintong Dong et al.
  1.06
• Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning (2024)
  Philipp Hess et al.
  0.50
• Inferring Vector Magnetic Fields from Stokes Profiles of GST/NIRIS Using a Convolutional Neural Network (2020)
  Hao Liu et al.
  —
• Direct multi-modal inversion of geophysical logs using deep learning (2022)
  Sergey Alyaev and Ahmed H. Elsheikh
  —
• Combining Deep Learning with Physics Based Features in Explosion-Earthquake Discrimination (2022)
  Qingkai Kong et al.
  —
• Deep Preconditioners and their application to seismic wavefield processing (2022)
  Matteo Ravasi
  —
• Reliable amortized variational inference with physics-based latent distribution correction (2022)
  Ali Siahkoohi and Gabrio Rizzuti and Rafael Orozco and Felix J. Herrmann
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• Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator (2022)
  Bian Li et al.
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• Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements (2023)
  E. A. Kanin et al.
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• Quantum-inspired tensor network for Earth science (2023)
  Soronzonbold Otgonbaatar et al.
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• Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness (2023)
  Min Zhu et al.
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