{"total":59,"rows":[{"id":"2410.01337","title":"PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems","created":"2024-10-02","cited_by_count":18,"area":null},{"id":"2411.00040","title":"P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics","created":"2024-10-29","cited_by_count":13,"area":null},{"id":"2310.05227","title":"Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology","created":"2023-10-08","cited_by_count":11,"area":null},{"id":"2304.04234","title":"Variational operator learning: A unified paradigm marrying training neural operators and solving partial differential equations","created":"2023-04-09","cited_by_count":7,"area":null},{"id":"2311.06554","title":"PGODE: Towards High-quality System Dynamics Modeling","created":"2023-11-11","cited_by_count":7,"area":null},{"id":"2401.11960","title":"Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method","created":"2024-01-22","cited_by_count":7,"area":null},{"id":"2408.16414","title":"Spectral Informed Neural Network: An Efficient and Low-Memory PINN","created":"2024-08-29","cited_by_count":6,"area":null},{"id":"2302.01538","title":"DCEM: A deep complementary energy method for solid mechanics","created":"2023-02-03","cited_by_count":5,"area":null},{"id":"2312.03243","title":"Evolutionary Optimization of Physics-Informed Neural Networks: Advancing Generalizability by the Baldwin Effect","created":"2023-12-06","cited_by_count":5,"area":null},{"id":"2505.01736","title":"PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems","created":"2025-05-03","cited_by_count":5,"area":null},{"id":"2505.20349","title":"FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation","created":"2025-05-25","cited_by_count":5,"area":null},{"id":"2407.05232","title":"PAPM: A Physics-aware Proxy Model for Process Systems","created":"2024-07-07","cited_by_count":4,"area":null},{"id":"2412.20962","title":"Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction","created":"2024-12-30","cited_by_count":4,"area":null},{"id":"2402.15636","title":"Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization","created":"2024-02-23","cited_by_count":3,"area":null},{"id":"2501.15987","title":"MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation","created":"2025-01-27","cited_by_count":3,"area":null},{"id":"2504.06070","title":"PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows","created":"2025-04-08","cited_by_count":3,"area":null},{"id":"2601.08404","title":"Out-of-distribution generalization of deep-learning surrogates for 2D PDE-generated dynamics in the small-data regime","created":"2026-01-13","cited_by_count":3,"area":null},{"id":"2405.14620","title":"Closed-form Solutions: A New Perspective on Solving Differential Equations","created":"2024-05-23","cited_by_count":2,"area":null},{"id":"2412.18840","title":"Implicit factorized transformer approach to fast prediction of turbulent channel flows","created":"2024-12-25","cited_by_count":2,"area":null},{"id":"2509.24332","title":"Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning","created":"2025-09-29","cited_by_count":2,"area":null},{"id":"2312.12476","title":"DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction Downscaling","created":"2023-12-19","cited_by_count":1,"area":null},{"id":"2403.12820","title":"A Physics-embedded Deep Learning Framework for Cloth Simulation","created":"2024-03-19","cited_by_count":1,"area":null},{"id":"2407.11158","title":"Physics-embedded Fourier Neural Network for Partial Differential Equations","created":"2024-07-15","cited_by_count":1,"area":null},{"id":"2409.18013","title":"Spatiotemporal Graph Learning with Direct Volumetric Information Passing and Feature Enhancement","created":"2024-09-26","cited_by_count":1,"area":null},{"id":"2503.10253","title":"PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics","created":"2025-03-13","cited_by_count":1,"area":null},{"id":"2505.21573","title":"Spectral-inspired Operator Learning with Limited Data and Unknown Physics","created":"2025-05-27","cited_by_count":1,"area":null},{"id":"2506.01598","title":"PMNO: A novel physics guided multi-step neural operator predictor for partial differential equations","created":"2025-06-02","cited_by_count":1,"area":null},{"id":"2507.01975","title":"Learnable-Differentiable Finite Volume Solver for Accelerated Simulation of Flows","created":"2025-06-23","cited_by_count":1,"area":null},{"id":"2510.16816","title":"Efficient High-Accuracy PDEs Solver with the Linear Attention Neural Operator","created":"2025-10-19","cited_by_count":1,"area":null},{"id":"2511.01704","title":"Learnable Fractional Reaction-Diffusion Dynamics for Under-Display ToF Imaging and Beyond","created":"2025-11-03","cited_by_count":1,"area":null},{"id":"2512.14240","title":"Physically consistent model learning for reaction-diffusion systems","created":"2025-12-16","cited_by_count":1,"area":null},{"id":"2605.29153","title":"Unveiling Multi-regime Patterns in SciML: Distinct Failure Modes and Regime-specific Optimization","created":"2026-05-27","cited_by_count":1,"area":null},{"id":"2606.23402","title":"Physics-Informed Modeling for Wood Thermal Analysis and Prediction","created":"2026-06-22","cited_by_count":1,"area":null},{"id":"2309.13626","title":"Crack-Net: Prediction of Crack Propagation in Composites","created":"2023-09-24","cited_by_count":0,"area":null},{"id":"2402.05067","title":"A Novel Paradigm in Solving Multiscale Problems","created":"2024-02-07","cited_by_count":0,"area":null},{"id":"2404.13441","title":"Machine Learning-Assisted Thermoelectric Cooling for On-Demand Multi-Hotspot Thermal Management","created":"2024-04-20","cited_by_count":0,"area":null},{"id":"2404.17865","title":"Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target","created":"2024-04-27","cited_by_count":0,"area":null},{"id":"2409.18370","title":"Discovery and inversion of the viscoelastic wave equation in inhomogeneous media","created":"2024-09-27","cited_by_count":0,"area":null},{"id":"2410.14986","title":"NeuralMAG: Fast and Generalizable Micromagnetic Simulation with Deep Neural Nets","created":"2024-10-19","cited_by_count":0,"area":null},{"id":"2506.05918","title":"Over-PINNs: Enhancing Physics-Informed Neural Networks via Higher-Order Partial Derivative Overdetermination of PDEs","created":"2025-06-06","cited_by_count":0,"area":null},{"id":"2506.10862","title":"OmniFluids: Physics Pre-trained Modeling of Fluid Dynamics","created":"2025-06-12","cited_by_count":0,"area":null},{"id":"2506.11761","title":"Using Deep Operators to Create Spatio-temporal Surrogates for Dynamical Systems under Uncertainty","created":"2025-06-13","cited_by_count":0,"area":null},{"id":"2506.17582","title":"LFR-PINO: A Layered Fourier Reduced Physics-Informed Neural Operator for Parametric PDEs","created":"2025-06-21","cited_by_count":0,"area":null},{"id":"2509.09278","title":"Data-Driven Discovery of Emergent Dynamics in Reaction-Diffusion Systems from Sparse and Noisy Observations","created":"2025-09-11","cited_by_count":0,"area":null},{"id":"2510.16071","title":"MNO: Multiscale Neural Operator for 3D Computational Fluid Dynamics","created":"2025-10-17","cited_by_count":0,"area":null},{"id":"2510.22221","title":"HPC-Driven Modeling with ML-Based Surrogates for Magnon-Photon Dynamics in Hybrid Quantum Systems","created":"2025-10-25","cited_by_count":0,"area":null},{"id":"2510.24216","title":"Unlocking Out-of-Distribution Generalization in Dynamics through Physics-Guided Augmentation","created":"2025-10-28","cited_by_count":0,"area":null},{"id":"2511.11750","title":"IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation","created":"2025-11-13","cited_by_count":0,"area":null},{"id":"2512.11686","title":"Stable spectral neural operator for learning stiff PDE systems from limited data","created":"2025-12-12","cited_by_count":0,"area":null},{"id":"2602.09487","title":"Adaptive recurrent flow map operator learning for reaction diffusion dynamics","created":"2026-02-10","cited_by_count":0,"area":null},{"id":"2603.08283","title":"Learning efficient representations of complex constraints for scalable optimization","created":"2026-03-09","cited_by_count":0,"area":null},{"id":"2603.26023","title":"GLU: Global-Local-Uncertainty Fusion for Scalable Spatiotemporal Reconstruction and Forecasting","created":"2026-03-27","cited_by_count":0,"area":null},{"id":"2605.04708","title":"Differentiable Chemistry in PINNs for Solving Parameterized and Stiff Reaction Systems","created":"2026-05-06","cited_by_count":0,"area":null},{"id":"2607.01749","title":"Identifiability Limits of Physics-Informed Inference for Spatial Stochastic Dynamics from Static Snapshots","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2608.03600","title":"Large language models for partial differential equation workflows","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2609.11081","title":"TailProp: content-adaptive light- and heavy-tailed propagation for vision","created":"2026-09-10","cited_by_count":0,"area":null},{"id":"2609.37113","title":"Neural Constitutive Learning for Generalized Reaction-Diffusion Systems","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.38623","title":"Geometry-physics confounding impairs PDE learning across varying domains","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.39914","title":"Cluster Attention Neural Operators for Solving Parametric Partial Differential Equations","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}