{"total":55,"rows":[{"id":"2512.20399","title":"GeoTransolver: Learning Physics on Irregular Domains Using Multi-scale Geometry Aware Physics Attention Transformer","created":"2025-12-23","cited_by_count":23,"area":null},{"id":"2602.04940","title":"Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries","created":"2026-02-04","cited_by_count":20,"area":null},{"id":"2512.07847","title":"CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics","created":"2025-11-25","cited_by_count":10,"area":null},{"id":"2602.20399","title":"GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training","created":"2026-02-23","cited_by_count":10,"area":null},{"id":"2602.02788","title":"Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs","created":"2026-02-02","cited_by_count":8,"area":null},{"id":"2601.18707","title":"SMART: Scalable Mesh-free Aerodynamic Simulations from Raw Geometries using a Transformer-based Surrogate Model","created":"2026-01-26","cited_by_count":4,"area":null},{"id":"2606.09806","title":"Topological Neural Operators","created":"2026-06-08","cited_by_count":4,"area":null},{"id":"2601.13994","title":"torch-sla: Differentiable Sparse Linear Algebra with Adjoint Solvers and Sparse Tensor Parallelism for PyTorch","created":"2026-01-20","cited_by_count":3,"area":null},{"id":"2602.04923","title":"Imposing Boundary Conditions on Neural Operators via Learned Function Extensions","created":"2026-02-04","cited_by_count":3,"area":null},{"id":"2602.05052","title":"Learning, Solving and Optimizing PDEs with TensorGalerkin: an efficient high-performance Galerkin assembly algorithm","created":"2026-02-04","cited_by_count":3,"area":null},{"id":"2602.11626","title":"ArGEnT: Arbitrary Geometry-encoded Transformer for Operator Learning","created":"2026-02-12","cited_by_count":3,"area":null},{"id":"2506.13906","title":"GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations","created":"2025-06-16","cited_by_count":2,"area":null},{"id":"2512.04974","title":"Efficient Generative Transformer Operators For Million-Point PDEs","created":"2025-12-04","cited_by_count":2,"area":null},{"id":"2512.16409","title":"Geometric Laplace Neural Operator","created":"2025-12-18","cited_by_count":2,"area":null},{"id":"2603.04430","title":"Flowers: A Warp Drive for Neural PDE Solvers","created":"2026-02-17","cited_by_count":2,"area":null},{"id":"2603.25635","title":"Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments","created":"2026-03-26","cited_by_count":2,"area":null},{"id":"2602.11197","title":"Hybrid operator learning of wave scattering maps in high-contrast media","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2604.18012","title":"Neural Shape Operator Surrogates -- Expression Rate Bounds","created":"2026-04-20","cited_by_count":1,"area":null},{"id":"2605.08436","title":"A meshfree exterior calculus for generalizable and data-efficient learning of physics from point clouds","created":"2026-05-08","cited_by_count":1,"area":null},{"id":"2605.19565","title":"HiLiftAeroML: A High-Fidelity Computational Fluid Dynamics Dataset for High-Lift Aircraft Aerodynamics","created":"2026-05-19","cited_by_count":1,"area":null},{"id":"2606.14597","title":"Zero-shot generalization of transformer neural operators to larger domains","created":"2026-06-12","cited_by_count":1,"area":null},{"id":"2607.01128","title":"GAIA: Geometry-Adaptive Operator Learning for Forward and Inverse Problems","created":"2026-07-01","cited_by_count":1,"area":null},{"id":"2608.07053","title":"Unsupervised Adaptation of PDE Foundation Models","created":"2026-08-07","cited_by_count":1,"area":null},{"id":"2609.36216","title":"Preconditioned Physics-Informed Neural Operator Training","created":"2026-09-28","cited_by_count":1,"area":null},{"id":"2512.02049","title":"PIBNet: a Physics-Inspired Boundary Network for Multiple Scattering Simulations","created":"2025-11-26","cited_by_count":0,"area":null},{"id":"2512.23192","title":"PGOT: A Physics-Geometry Operator Transformer for Complex PDEs","created":"2025-12-29","cited_by_count":0,"area":null},{"id":"2603.06543","title":"SurgFormer: Scalable Learning of Organ Deformation with Resection Support and Real-Time Inference","created":"2026-03-06","cited_by_count":0,"area":null},{"id":"2604.22826","title":"Shape: A Self-Supervised 3D Geometry Foundation Model for Industrial CAD Analysis","created":"2026-04-19","cited_by_count":0,"area":null},{"id":"2604.25985","title":"Learning Neural Operator Surrogates for the Black Hole Accretion Code","created":"2026-04-28","cited_by_count":0,"area":null},{"id":"2605.07375","title":"QuadNorm: Resolution-Robust Normalization for Neural Operators","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2605.08832","title":"Inpainting physics: self-supervised learning for context-driven fluid simulation","created":"2026-05-09","cited_by_count":0,"area":null},{"id":"2605.08843","title":"M$^3$: Reframing Training Measures for Discretized Physical Simulations","created":"2026-05-09","cited_by_count":0,"area":null},{"id":"2605.22182","title":"IKNO: Infinite-order Kernel Neural Operators","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2605.25115","title":"Courant: a State-Adaptive Perceiver-Based Neural Surrogate with Local Support and Interpretable Field Decomposition","created":"2026-05-24","cited_by_count":0,"area":null},{"id":"2606.23251","title":"Attention mechanism for scalable mesh-based neural surrogates of free-surface fluids","created":"2026-06-22","cited_by_count":0,"area":null},{"id":"2606.31574","title":"Temperature Field Reconstruction of Tungsten Monoblock Divertor on EAST using Physics-aware Neural Operator Transformer","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2607.24513","title":"Physics Transformer: Tailoring Transformer for General PDE Prediction","created":"2026-07-27","cited_by_count":0,"area":null},{"id":"2608.09764","title":"MoNo: Multiscale Optimal Transport Neural Operator for Solving PDEs on General Geometries","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.09938","title":"HyperShape: Hyperelasticity Across Diverse Shapes","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2608.14120","title":"From Fixed Grids to Moving Particles:A Transferable Latent Operator for Fluid Dynamics","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2608.20477","title":"STCO: Conditional Neural Operators for Time-Dependent PDEs","created":"2026-08-20","cited_by_count":0,"area":null},{"id":"2608.21677","title":"Read, Write, Relax: Why Neural PDE Surrogates Need Both Global and Local Processing","created":"2026-08-21","cited_by_count":0,"area":null},{"id":"2609.00507","title":"VATO: A Vortex-Force-Aware Transformer Operator for Unsteady Separated Aerofoil Flows","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2609.05860","title":"Beyond Arbitrary Geometry: Topology Generalization In neural PDE Operators","created":"2026-09-05","cited_by_count":0,"area":null},{"id":"2609.24746","title":"Enhancing Transformer Representations of Symbolic ODE Expressions","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2609.27739","title":"MENO: Memory-Efficient Neural Operator","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2609.32525","title":"Does Transolver really need a Transformer?","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2609.36806","title":"CANTO: CAD-Native Transformer Operators for AI-Aided Engineering","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.37509","title":"ScaGNN: a Graph Neural Network for Multiple Scattering Simulations","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":"2610.01697","title":"Learning PDE Dynamics between Submanifolds Using Green's Observation Operators","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.03363","title":"Geometry Meets Physics: Data-Efficient Pre-Training for Unstructured Neural PDE Solvers","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.05100","title":"METRO: Metric-Enhanced Token Routing Operator","created":"2026-10-04","cited_by_count":0,"area":null},{"id":"2610.07033","title":"Shaping the Wind: Nested Potentials for Kinematically Admissible Urban Wind Prediction","created":"2026-10-04","cited_by_count":0,"area":null},{"id":"2610.16167","title":"Interactive 4D Volumetric Liquid Forecasting under Moving-Solid Interaction","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}