PDE Surrogate Modeling

PDE: Partial Differential Equation

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  1. Transferability of Learned States in Neural PDE Solvers

    Oct 7, 2026Shunye Wang, Haochen Wen, Shuo Li Liu +3Neural PDE SolversPDE Surrogate Modeling

  2. Conditional Flow Matching for Generation of 3D Multi-variable Instantaneous Urban Microclimate Fields

    Oct 7, 2026Peng Liu, Shaoxiang Qin, Theodore Potsis +3Computational Fluid DynamicsConditional Flow Matching

  3. Cross-Domain Pretraining for Steady-State Neural CFD Surrogates

    Oct 7, 2026Anthony Zhou, Amir Barati Farimani, Shirley Ho +1Cross-Domain GeneralizationPDE Surrogate Modeling

  4. The Symbol of the Surrogate: Measuring Numerical Provenance in Neural PDE Solvers

    Oct 7, 2026Ridham PatelPDE Surrogate Modeling

  5. Domain-informed Adaptive Sampling for Generalizable PINNs in Metal Additive Manufacturing via Conditional Flow Matching

    Oct 6, 2026Hyeonsu Lee, Jihoon JeongAdaptive SamplingPhysics-Informed ML

  6. Learning PDE solution operators with variable initial conditions via Latent Dynamics Networks

    Oct 6, 2026Stefano Maria Pizzamiglio, Stefano Pagani, Francesco RegazzoniLatent Dynamics ModelingMeta-Learning

  7. Green-Routed Neural Operators:\Physics Determines Where the Network Reads

    Oct 4, 2026Chenhao Si, Ming YanPDE Surrogate ModelingPDE Operator Learning

  8. Component-Level Evaluation of Adaptive PINN Training for CFD-Oriented Crystal Growth Simulation

    Oct 4, 2026Niruta Chapagain, Rohit Raj, Bertwin Kurisinkal Shine +1Neural PDE SolversPDE Surrogate Modeling

  9. Geometry Meets Physics: Data-Efficient Pre-Training for Unstructured Neural PDE Solvers

    Oct 2, 2026Luis Medrano-Navarro, Giacomo Baldan, Qiang Liu +4Synthetic Data PretrainingNeural PDE Solvers

  10. Sim+Real: Joint Simulation - Experiment Training Improves Balanced Prediction in Physical Systems

    Oct 1, 2026Mahindra Rautela, Alexander Scheinker, Ayan Biswas +3Sim-to-Real TransferPDE Surrogate Modeling

  11. Learning PDE Dynamics between Submanifolds Using Green's Observation Operators

    Oct 1, 2026Jan Tauberschmidt, Jephte Abijuru, Naukshatro Bose +5PDE SolvingPDE Surrogate Modeling

  12. Scale-Split Neural Operator for Memory- and Data-Efficient 3D Turbulence Prediction

    Sep 30, 2026Shaoxiang Qin, Yucheng Zhao, Zongyi Li +2PDE Surrogate ModelingNeural Operators

  13. Warm-starting PDE solvers with any-dimensional machine learning

    Sep 30, 2026Wilson G. Gregory, George A. Kevrekidis, Ben Blum-Smith +1Neural PDE SolversPDE Surrogate Modeling

  14. Does Text Steer Neural PDE Surrogates? A Controlled Diagnostic with OperatorCLIP

    Sep 29, 2026Aadi Dash, Lennon J. Shikhman, Michael GalarnykPDE Surrogate ModelingNeural Operators

  15. A Pre-trained Variational Autoencoder for Gyrokinetic Plasma Turbulence Surrogate Modeling

    Sep 29, 2026Minglei Yang, Marshall Nicholson, Diego Del-Castillo-Negrete +2Variational AutoencodersPhysics-Informed Generative Modeling

  16. Transolver-σσ: Joint Spectral-Physical Subspace Modeling for Neural PDE Solving

    Sep 29, 2026Haonan Shangguan, Hang Zhou, Haixu Wu +3Fourier Neural OperatorNeural PDE Solvers

  17. CANTO: CAD-Native Transformer Operators for AI-Aided Engineering

    Sep 29, 2026Daniel Leibovici, Nikola Borislavov Kovachki, Dawon Ahn +8PDE Surrogate ModelingNeural Operators

  18. SCOPE: Observation-Conditioned Full-Target Prediction for Sparse PDE Inference

    Sep 29, 2026Ruichen Xu, Siyao Wang, Fang Wan +8PDE Surrogate ModelingPDE Inverse Problems

  19. PDE-OBS: Controlled Evaluation Across Observation Patterns

    Sep 29, 2026Ruichen Xu, Siyao Wang, Fang Wan +7Benchmark DesignPDE Surrogate Modeling

  20. CasEm: A Cascade Architecture for Long-Horizon Neural Emulation

    Sep 28, 2026Zhaoyi Li, Jingtao Ding, Shihua LiNeural Surrogate ModelingPDE Surrogate Modeling

  21. When Known Physics Helps Neural PDE Models: Residual Constraints Out-Regularize Generic Priors for Nonlinear Dynamics

    Sep 27, 2026Zahra Farazpay, Aniruddha BoraPDE Surrogate ModelingPhysics-Informed ML

  22. The limits of exactness: On the failure of automatic differentiation in physics-informed machine learning

    Sep 27, 2026Ameya D. JagtapAutomatic DifferentiationPDE Surrogate Modeling

  23. RD-JEPA: Predictive latent pretraining for few-trajectory transfer across reaction--diffusion equations

    Sep 24, 2026Chenhao Si, Ming YanDynamical SystemsSelf-Supervised Pre-Training

  24. Physics and Data Driven Transformer-Mamba Framework for Flow Field

    Sep 24, 2026Zhuo Zhang, Shun Zou, Canqun Yang +1PDE Surrogate ModelingPDE Operator Learning

  25. MENO: Memory-Efficient Neural Operator

    Sep 23, 2026Shengyang Xu, Weijun Zhang, Jun Hu +1PDE Surrogate ModelingPDE Operator Learning

  26. Learning Physics from an Imperfect Ancestor

    Sep 21, 2026S. Mohammad Mousavi, Teeratorn Kadeethum, Nikolaos Bouklas +1PDE Surrogate ModelingOOD Generalization

  27. How Does Distribution Shift Shape Pretraining Gains in Neural PDE Surrogates?

    Sep 17, 2026Pochinapeddi Sai Bhargav, Nithin Somasekharan, Rohit Sunil Kanchi +2Distribution Shift RobustnessPDE Surrogate Modeling

  28. Cross-Anatomy Transfer Versus Sparse Interpolation in Digital-Twin-Oriented Aortic Fluid-Structure Interaction Surrogates

    Sep 14, 2026Ali Nourbakhsh, Mohammad Reza Niroomand, Erfan NourbakhshPDE Surrogate ModelingCross-Domain Generalization