Neural Partial Differential Equation Solvers

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  1. Singular parameters and missing limits in neural PDE solvers

    Oct 5, 2026Daniel FernándezNeural Partial Differential Equation SolversNeural Ordinary Differential Equations

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

    Oct 2, 2026Luis Medrano-Navarro, Giacomo Baldan, Qiang Liu +4Neural Partial Differential Equation SolversLarge-Scale 3D Editing Dataset

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

    Sep 30, 2026Wilson G. Gregory, George A. Kevrekidis, Ben Blum-Smith +1Neural Partial Differential Equation SolversPartial Differential Equations

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

    Sep 29, 2026Haonan Shangguan, Hang Zhou, Haixu Wu +3Neural Partial Differential Equation SolversSubspace

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

    Sep 29, 2026Ruichen Xu, Siyao Wang, Fang Wan +8Neural Partial Differential Equation SolversPartial Differential Equations

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

    Sep 27, 2026Zahra Farazpay, Aniruddha BoraNeural Partial Differential Equation SolversHeat Diffusion

  7. MENO: Memory-Efficient Neural Operator

    Sep 23, 2026Shengyang Xu, Weijun Zhang, Jun Hu +1Neural Partial Differential Equation SolversNeural Operators

  8. Stable by Construction: Variational Latent Markov Operators for Long-Horizon PDE Prediction

    Sep 15, 2026Junyi Liao, Johann Guilleminot, Vahid TarokhLong-Horizon ForecastingNeural Partial Differential Equation Solvers

  9. Single-condition neural solvers encode transferable response spaces for parametric differential equations

    Sep 14, 2026Wenbo Cao, Weiwei ZhangNeural Partial Differential Equation SolversNeural Solvers

  10. A Systematic Analysis of Automatic Differentiation versus Discretization-based Constraints for Physics-Informed PDE Solvers

    Sep 7, 2026Xing Guo, Hongwei Tang, Zewei Meng +3Neural Partial Differential Equation SolversDiscretization

  11. Equation Recast for Canonical Operator Learning Across Parametric PDEs

    Sep 2, 2026Qiyun Cheng, Valentin Duruisseaux, Cesar F. Clauser +7Probabilistic Operator LearningNeural Partial Differential Equation Solvers

  12. DiffPDE: Masked Diffusion Language Models as PDE Solver

    Aug 31, 2026Wenxuan Guo, Yuyang Hong, Lubin Fan +4Neural Partial Differential Equation SolversPartial Differential Equations

  13. Learning PDE Time-Stepping with Neural Cellular Automata

    Aug 31, 2026Esha Saha, Hao WangNeural Partial Differential Equation SolversPartial Differential Equations

  14. Sensitivity-Constrained Neural Operators for Data-Efficient Forward and Inverse Modeling of Partial Differential Equation Systems

    Aug 30, 2026Abdolmehdi Behroozi, Chaopeng Shen, Daniel Kifer +1Neural OperatorsNeural Partial Differential Equation Solvers

  15. Reference-free logged energy-oracle recovery for neural approximations of symmetric coercive variational problems: conforming Riesz reconstruction and archive-level selection

    Aug 17, 2026Karim Bounja, Lahcen Laayouni, Boujemaa Achchab +1Reconstruction ErrorNeural Approximations

  16. RECAST: A Machine-Learning Framework for Correction and Super-Resolution of Coarse-Grid PDE Solvers

    Aug 12, 2026Maryam Reza, Farbod FarajiNeural Partial Differential Equation SolversPartial Differential Equations

  17. MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries

    Aug 10, 2026Zijiang Yang, Xiaomeng Wu, Dongmei FuNeural OperatorsNeural Partial Differential Equation Solvers

  18. Improving Auto-Design of Neural PDE Solvers with a Domain-Specific Language

    Aug 5, 2026Shengxin Kong, Liwen Xu, Jingwen FuNeural Partial Differential Equation SolversEvolutionary Search

  19. Large language models for partial differential equation workflows

    Aug 4, 2026Han Wan, Rui Zhang, Hao SunNeural Partial Differential Equation SolversLarge Language Model Workflows

  20. Freeze, Then Select: Structured Field Adapters and Stability-Validated Weak Selection for PDE Discovery from Sparse Observations

    Jul 31, 2026Juncheng Zhong, Chenghuang Shen, Jianfeng Liu +5Neural Partial Differential Equation SolversFreeze

  21. Geometry-aware Incremental Neural Operator for Long-Horizon PDE prediction

    Jul 31, 2026Jiaquan Zhang, Shuxu Chen, Haifan Meng +6Neural Partial Differential Equation SolversLong-Horizon Forecasting

  22. Physics Transformer: Tailoring Transformer for General PDE Prediction

    Jul 27, 2026Guoze Sun, Rui Zhang, Jiankai Tang +4Neural Partial Differential Equation SolversPartial Differential Equations

  23. Energy Manifold Natural Gradient Descent: Riemannian Optimization for Neural PDE Solvers

    Jul 24, 2026Zhangyong Liang, Huanhuan GaoNeural Partial Differential Equation SolversRiemannian Optimization

  24. Adaptive Mamba Neural Operators

    Jul 20, 2026Zeyuan Song, Zheyu JiangNeural Partial Differential Equation SolversNeural Operators

  25. FlashPDE: A Drop-In Fused Triton Operator Library for Neural PDE Solvers

    Jul 20, 2026Peiyu Zang, Bosen Xie, Ruoxiang Xu +1Neural Partial Differential Equation SolversPytorch

  26. Learning to Discretize: Diffusion-Based Adaptive Mesh with Spectral Guidance

    Jul 13, 2026Zixuan Shen, Bingchuan Wang, Zhi Wang +1Neural Partial Differential Equation SolversDiscretization

  27. PGD-NO: A Neural Operator with Precomputed Geometry Decomposition for 3D Million-scale Physics Simulations

    Jul 9, 2026Weiheng Zhong, Jing Bi, Victor Oancea +1Neural Partial Differential Equation SolversNeural Operators

  28. PDEFlow: Autonomous Agentic PDE Pipelines for Neural Operator Learning and Solver-Free Inference

    Jul 6, 2026Akshat Jani, Prathamesh Gadekar, Sakhinana Sagar Srinivas +1Neural Partial Differential Equation SolversNeural Operators

  29. LLT: Local Linear Transformer for PDE Operator Learning

    Jul 4, 2026Oded Ovadia, Eli TurkelNeural OperatorsNeural Partial Differential Equation Solvers

  30. Mosaic: A Benchmark Suite for Differentiable Physics Solvers

    Jun 26, 2026Andrin Rehmann, Heiko Zimmermann, Dion HäfnerNeural Partial Differential Equation SolversDifferentiable Physics

  31. Error-Conditioned Neural Solvers

    Jun 25, 2026Haina Jiang, Liam Wang, Peng-Chen Chen +4Neural Partial Differential Equation SolversNeural Solvers

  32. Parameterized Representations via Implicit Stochastic Modulation for High-Dimensional and High-Order Neural PDE Solvers

    Jun 20, 2026Zhangyong Liang, Huanhuan GaoNeural Partial Differential Equation SolversPartial Differential Equations

  33. A fast direct solver based neural network for solving PDEs

    Jun 18, 2026Jashwanth Reddy Kadaru, Vaishnavi GujjulaNeural Partial Differential Equation SolversPartial Differential Equations

  34. Operator Boosting Produces Pareto-Efficient PDE Surrogates

    Jun 16, 2026Lennon J. ShikhmanNeural OperatorsNeural Partial Differential Equation Solvers

  35. Separable Neural Architectures as Physical World Models: from Mathematical Theory to Applications

    Jun 12, 2026Reza T Batley, Andrew Kichline, Sourav SahaNeural Partial Differential Equation SolversPartial Differential Equations

  36. AutoPDE: Reliable Agentic PDE Solving via Explicitly Represented Solver Strategies

    Jun 9, 2026Huanshuo Dong, Keyao Zhang, Hong Wang +6Neural Partial Differential Equation SolversClassical Numerical Solver

  37. Learning Where to Simulate: Generative Active Sampling for Online PDE Surrogate Training

    Jun 8, 2026Pierre Cesar, Sofya Dymchenko, Abhishek Purandare +1Surrogate ModelsMachine Learning Surrogates

  38. MeshTok: Efficient Multi-Scale Tokenization for Scalable PDE Transformers

    Jun 3, 2026Yanshun Zhao, Xiaoyu Peng, Jiamin Jiang +2Neural Partial Differential Equation SolversTransformer Architectures

  39. Correcting Neural Operator Spectral Bias via Diffusion Posterior Sampling with Sparse Observations

    Jun 2, 2026Niccolò Perrone, Fanny Lehmann, Stefania Fresca +1Neural OperatorsNeural Partial Differential Equation Solvers

  40. Let There Be Light: Reflection, Refraction and Scattering for Neural Operators

    Jun 2, 2026Keke Wu, Yixuan Zhang, Jingrun ChenNeural OperatorsNeural Radiance Fields

  41. Cellular Sheaf Neural Operators for Structure-Preserving Surrogate Modeling of Constrained PDEs

    May 31, 2026Lennon J. Shikhman, Shane GilbertieNeural OperatorsNeural Partial Differential Equation Solvers

  42. Oscillatory State-Space Models as Inductive Biases for Physics-Informed Neural PDE Solvers

    May 29, 2026Abhishek Chandra, Taniya KapoorParametric Physics-Informed Neural NetworkNeural Partial Differential Equation Solvers

  43. Multi-Scale Separable Fourier Neural Networks for Solving High-Frequency PDEs

    May 29, 2026Qihong Yang, Qiaolin HeNeural Partial Differential Equation SolversPartial Differential Equations

  44. A Novel Tensor Product-Based Neural Network for Solving Partial Differential Equations

    May 28, 2026Qihong Yang, Yangtao Deng, Qiaolin He +1Neural Partial Differential Equation SolversPartial Differential Equations

  45. Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers

    May 25, 2026Shyam Sankaran, Hanwen Wang, Paris PerdikarisNeural Partial Differential Equation SolversDeep Learning Architectures

  46. Autoregression-Free Neural Operators for Time-Dependent PDEs

    May 25, 2026Jiaquan Zhang, Caiyan Qin, Haoyu Bian +7Neural OperatorsNeural Partial Differential Equation Solvers

  47. PDEInvBench: A Comprehensive Dataset and Design Space Exploration of Neural Networks for PDE Inverse Problems

    May 25, 2026Divyam Goel, Nithin Chalapathi, Sanjeev Raja +1Neural Partial Differential Equation SolversBayesian Inverse Problems

  48. Hermite-NGP: Gradient-Augmented Hash Encoding for Learning PDEs

    May 23, 2026Jinjin He, Zhiqi Li, Sinan Wang +1Neural Partial Differential Equation SolversPartial Differential Equations

  49. An End-to-End PyTorch Interface for Differentiable PDE Solvers: A RANS Model-Correction Study

    May 19, 2026Luca Saverio, Michele Alessandro Bucci, Gianmarco Farro +2Neural Partial Differential Equation SolversPartial Differential Equations

  50. AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training

    May 15, 2026Qitan Lv, Hong Wang, Zhongkai Hao +5Neural OperatorsNeural Partial Differential Equation Solvers

  51. Breakeven complexity: A new perspective on neural partial differential equation solvers

    May 14, 2026Yijing Zhang, Nicholas Roberts, Tanya Marwah +1Neural Partial Differential Equation SolversReynolds-Averaged Navier-Stokes