📅 Timeline

334 entries across 16 months

September 2026 211
Dataset Adaption Materials Science QA Augmented Dataset 2026-09-22 Dataset interpolant_pdes Dataset 2026-09-11 Dataset ColdPlate-CFD-2000sims: Liquid-Cooled Dual-Chip Pin-Fin Cold Plate CFD Dataset 2026-09-16 Dataset PDECert Natural-Candidate Pilot Benchmark 2026-09-01 Dataset PDE-OBS Partial Differential Equation Benchmark Dataset 2026-09-23 Dataset Science Materials Dataset 2026-09-20 Dataset SPUS PDE-UNet-36M Navier-Stokes PWC Model 2026-09-17 Dataset PDE Surrogate Benchmark Dataset 2026-09-22 Dataset OJOx: Specification-Conditioned Demonstrations for Embodied AI in Construction 2026-09-22 Tool PINN Heat Equation Solver 2026-09-16 Tool Warp-Geo: Differentiable Geometry Representation for Dynamic-Boundary Simulation and Shape Optimization 2026-09-21 Tool OneScience-Group/PINN-TC 2026-09-07 Tool TensorRT Edge-LLM Completes MLPerf Edge Agentic Benchmark 6.4x Faster on Jetson AGX Thor 2026-09-16 Tool Unitree UnifoLM-WLA-1.0 General-Purpose Humanoid Robot Foundation Model 2026-09-17 Tool PhysicsNeMo v2.2.2 2026-09-11 Tool InternS1-Mini Context-Conditioned Molecule Transfer Model 2026-09-23 Tool NVIDIA Earth-2: AI-Powered Weather Decision Platform 2026-09-21 Tool SPUS-PDE-UNet-36M Navier-Stokes Supervised Learning Model 2026-09-17 Tool NTBuilder: Commensurate Construction of Nanotubes from Arbitrary Two-Dimensional Crystals and a Catalog of 20 Million Structures 2026-09-22 Tool SPUS-PDE-UNet-36M: Neural PDE Solver with 36M Parameters 2026-09-16 Tool Context-Conditioned Molecule Transfer Model for Carcinogens 2026-09-23 Case Physics-Informed CNN for Battery Pack Temperature Fields 2026-09-18 Case How to Use AI Agents to Prepare 3D Scenes for Simulation 2026-09-16 Case How NVIDIA Groq 3 LPX Deterministic Execution Drives Power-Efficient High-Interactivity Inference on NVIDIA Vera Rubin 2026-09-15 Case NVIDIA Earth-2 Industrial Climate Prediction Platform 2026-09-21 Case HydroGym: A Reinforcement Learning Platform for Flow Control 2026-09-18 Case MACE-MP-0: A Universal Machine-Learned Interatomic Potential 2026-09-18 Case TopoDiff: Diffusion-Model-Driven Topology Optimization 2026-09-18 Learn Adaptive Physics-informed Neural Networks: A Survey 2026-09-22 Learn Continuous-Time Machine Learning: A Unified Mathematical Perspective 2026-09-15 Learn How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows 2026-09-23 Learn Embedding Physics Priors in Robot Learning: A Survey 2026-09-22 Learn Accelerating a ROS 2 Node with an AI Agent and NVIDIA Isaac ROS 2026-09-22 Learn Neural Operator: Is data all you need to model the world? An insight into the paradigm of data-driven scientific ML 2026-09-22 Learn From Theory to Application: A Practical Introduction to Neural Operators in Scientific Computing 2026-09-22 Learn Machine Learning with Physics Knowledge for Prediction: A Survey 2026-09-22 Paper Adaptive Physics Transformer with Fused Global-Local Attention for Subsurface Energy Systems 2026-09-22 Paper ATOM: A Pretrained Neural Operator for Multitask Molecular Dynamics 2026-09-22 Paper Transolver is a Linear Transformer: Revisiting Physics-Attention through the Lens of Linear Attention 2026-09-22 Paper Droop-Aware Foundation Model Power Flow 2026-09-20 Paper Autoencoders vs. Numerical Analysis--Informed Manifold Learning for Navier--Stokes Flows 2026-09-21 Paper Uni-Macro-FRPN: Full-Resolution and Cross-Scale Learning for Polymers 2026-09-22 Paper Two-Stage Ordering Kinetics in Binary Mixtures of Ellipsoidal Particles 2026-09-22 Paper FREESIA: Covariance-Aware Posterior Transport for Expressive and Scalable Data Assimilation 2026-09-23 Paper Ladder of Information Limits on Prediction for Reduced-Order Models 2026-09-16 Paper Quantum-hardware spectral co-design framework for multifrequency Rydberg electrometry 2026-09-10 Paper LPINNs: First-Layer Gated Localization for Physics-Informed Neural Networks 2026-09-22 Paper PIVOT: Physically Informed Vision-Language Off-Road Traversability for Field Robot Navigation 2026-09-17 Paper CFD-Machine Learning Driven Pod Optimization and Staged Pressure-Area Management for Supersonic Evacuated Tube Transport 2026-09-23 Paper TokaGLINT: A Scalable GPU-Tailored Implicit Solver for Full 3D Tokamak Electromagnetic Simulations 2026-09-18 Paper Data-Driven MPC with Adaptively Sampled Non-Expert Demonstrations: Performance Guarantees and Sample Complexity 2026-09-22 Paper Artificial Neural Networks as Surrogate Models in Black Box Optimization 2026-09-22 Paper Federating Quantum and Classical Computing: A Privacy-Preserving Hybrid Approach 2026-09-23 Paper FrFNO: Injecting the analytic Mittag-Leffler propagator into a resolution-robust neural operator for space-time fractional PDEs 2026-09-21 Paper Combinatorial Optimization Augmented Machine Learning for Dynamic Electric Autonomous Dial-a-Ride Problem 2026-09-22 Paper Amortizing Physics-Informed Neural Solvers via Graph Hypernetworks 2026-09-17 Paper Triply-Scalable Equivariant Gaussian Process Modeling 2026-09-21 Paper Physics-Informed Hemodynamic Modeling for Data-Free Prediction and Sparse-Data Assimilation 2026-09-16 Paper Adaptive Minimum-Variance Phase Gradient Estimator Overcomes Trainability Barriers in Neural-Network-Based Variational Quantum Optimization 2026-09-22 Paper K-TRAIL: Simulator-Guided Generative Design of EM/RF Circuits 2026-09-19 Paper Complete Neural Electronic Initialization Accelerates Materials DFT 2026-09-21 Paper GPCR Ligand Bioactivity Prediction with Physics-Informed Dual-State Query Learning 2026-09-15 Paper High-Order Variable-Scaled Energetic Variational Neural Networks for Phase-Field Gradient Flows 2026-09-23 Paper Domain-decomposed Evolutional Deep Neural Network with Random Features for Transient Pressure Diffusion with Discontinuous and High-Contrast Coefficients 2026-09-22 Paper An Unconditionally Stable Second-Order Robin Partitioned Method for Fluid-Poroelastic Structure Interaction 2026-09-23 Paper Comparative analysis of Neural Networks approaches for Initial Orbit Determination of Near-Earth Objects 2026-09-18 Paper Stable by Construction: Variational Latent Markov Operators for Long-Horizon PDE Prediction 2026-09-15 Paper Emulation strategies for Bayesian inference of regional left ventricle material parameters 2026-09-17 Paper Learning Physics from an Imperfect Ancestor: Joint Failure Mode Resolution for Neural Operators and PINNs 2026-09-21 Paper Beyond PINNs: A Unified Gauss-Newton and Petrov-Galerkin Framework for Neural and Hybrid PDE Solvers 2026-09-17 Paper Fast Surrogate for the Earth Matter Effect on Solar Neutrinos 2026-09-23 Paper Calibration of electromagnetic shower features in the CMS calorimeter with machine-learning techniques 2026-09-14 Paper Riemannian Simultaneous Inference for Tangent Vector Field Regression 2026-09-21 Paper Backward log orthogonal functions and their approximation theory 2026-09-21 Paper Accelerating structural optimization via EIFEM: a ROM-based preconditioner 2026-09-17 Paper Enhancing Transformer Representations of Symbolic ODE Expressions 2026-09-21 Paper Conformal Spherical Splines for the Laplace-Beltrami Operator on Genus-Zero Surfaces 2026-09-22 Paper Finite-state automata for exact matrix product operators of tight-binding Hamiltonians: fractals, quasicrystals, trees and hyperbolic lattices 2026-09-23 Paper Continental-scale probabilistic resistivity imaging of Australia using deep learning: Implications for geology, groundwater, and critical minerals 2026-09-17 Paper Comparative Analysis of State-of-the-Art Foundation Models for Sleep Analysis Under Channel Reduction 2026-09-22 Paper Estimation and Control of Tensegrity Manipulator Kinematics based on Strut Inclination Angles 2026-09-21 Paper Scalable Incremental Robustness Analysis of Neural Network Feedback Systems 2026-09-22 Paper Adaptive and accuracy-aware multiple data assimilation in a three step framework 2026-09-14 Paper A Low-rank ADI Algorithm for the Numerical Solution of Large Discrete-time Non-symmetric Algebraic Riccati Equations 2026-09-21 Paper Structure-Informed Data-Driven Reduced-Order Modeling of Scalar Hyperbolic Conservation Laws via Kinetic Defect Measure 2026-09-15 Paper Expected Hypervolume Maximization for Multiobjective Optimization under Uncertainties 2026-09-17 Paper Multitask Jet Analysis with Vision-Language Models: A Physics-Informed Four-Panel Representation 2026-09-21 Paper Towards Physics-Informed Neural Networks for Stiff Guitar String Vibrations 2026-09-18 Paper A Highly Scalable Quantized Tensor-Train FDTD Framework for the Simulation of Three-Dimensional Electromagnetic Scattering Problems 2026-09-16 Paper Predicting Energy and Structural Response to Force Correction in Molecular Dynamics 2026-09-22 Paper Probabilistic Physics-Informed Neural Solvers for Woods-Saxon Parameter Identification 2026-09-23 Paper A Hybrid Quantum Neural Network to Analyse Big Experimental Powder X-ray Diffraction Data 2026-09-22 Paper SPUS PDE-UNet-36M-v2 (FNS-KF) PDE Solving Model 2026-09-16 Paper MIISO: Modal Integrators for Isogeometric Stabilization of Outliers 2026-09-23 Paper AffordanceWAM: Affordance-Aware Joint World-Action Modeling for Robot Manipulation 2026-09-22 Paper Diff-NekRS: A Scalable Differentiable Framework for Multi-Timestep Solver-in-the-Loop Training 2026-09-22 Paper AKAPINN: Adaptive Kolmogorov-Arnold Physics-Informed Neural Networks for Approximating Solutions to Quasilinear Partial Differential Equations 2026-09-22 Paper Conformal Symplectic Structure of Brinkman Penalisation for Structure-Preserving Operator Learning of Hamiltonian PDEs 2026-09-24 Paper CFD-Machine Learning Driven Pod Optimization and Staged Pressure-Area Management for Supersonic Evacuated Tube Transport 2026-09-22 Paper Parnassus for the CLD Detector: A Generative Machine-Learning Surrogate for Detector Simulation and Reconstruction at the FCC-ee 2026-09-25 Paper DNNsolver: Accurate and Efficient Deep Learning Modeling of Polarization-Sensitive Diffractive Neural Networks 2026-09-23 Paper DNNsolver: Accurate and Efficient Deep Learning Modeling of Polarization-Sensitive Diffractive Neural Networks 2026-09-24 Paper DeepFEAv2: Deep Learning for Transient Finite Element Analysis Beyond Structured Meshes 2026-09-22 Paper The Mechanics of Delta Learning: Target Design for Generalizable Scientific Machine Learning 2026-09-23 Paper GINIO: A Geometric SO(3)-Equivariant Interface for Neural Inertial Odometry 2026-09-23 Paper FAST-ML: A Hybrid Physics-Machine Learning Framework for Tropical Cyclone Intensity Forecasting 2026-09-22 Paper DissipNet: Data-driven Discrete-time Deep RNN-based Modeling for Dissipative Systems 2026-09-23 Paper GridSFM: A Foundation Model for Solving AC Optimal Power Flow 2026-09-24 Paper Deep-Learning Solvers and Surrogates for Infinity and p-Laplace Problems 2026-09-25 Paper HOTICE: Whole-Body Humanoid Object Transportation in Cluttered Environments 2026-09-23 Paper JAMB: Joint Action-Motion Diffusion for Bimanual Manipulation 2026-09-23 Paper KATOsuper: Surrogate-accelerated neural topology optimization with sensitivity-consistent Fourier neural operators 2026-09-23 Paper Towards Modeling the Hemodynamic Impact of Mitral and Aortic Valve Repair in Patients with Left Ventricular Assist Devices 2026-09-24 Paper LeafNet: A Diffusion-Free Multi-Layer Neural Network Method for Multidimensional Nonlinear Hyperbolic Equations 2026-09-24 Paper MENO: Memory-Efficient Neural Operator 2026-09-23 Paper Physical-Layer Sensing Privacy via Constellation Shaping for OFDM-ISAC Systems: Theory, Design, and Experiments 2026-09-23 Paper PISCES: Physics-Informed Solar-wind Convolutional AutoEncoder for Space-weather Anomaly Detection and Early Warning 2026-09-23 Paper POPT: Physics-Informed Deep Learning for Phase-Only Positioning in Distributed MIMO 2026-09-25 Paper PR-Smoother: Simulator-Preserving Non-Gaussian Smoothing for Data Assimilation 2026-09-24 Paper RFlash: Shadow Reduction in Ultrasound Imaging Using Differentiable Simulation and Radiance Field Decomposition 2026-09-24 Paper Response-state Learning for Transferable Vibrational Spectroscopic Characterization with Electron Prior 2026-09-24 Paper SHRAV: State-Hypothesis-Reason-Action-Verify Framework for Physical Modeling and Inverse Design 2026-09-24 Paper TM4FF: Physics-Constrained Transformer-Mamba Framework for Flow Field Prediction 2026-09-24 Paper Transformer-Informed Trajectory Optimization for Relative Motion in Cislunar Orbits 2026-09-23 Paper Vertical Assessment of RF-EMF Exposure in a Building Adjacent to a Multi-Operator Shared Base Station 2026-09-11 Paper ForceTwin: Physics-informed Digital Twins for Robotic Manipulation from Instrumented Human Interaction 2026-09-18 Paper When Does Test-Time Physical Diagnosis Pay? A Frozen Policy Buys Evidence It Never Reads 2026-09-22 Paper Rapidity-Coupled Spin Dynamics in Pulsed Laser Fields from Physics-Informed Neural Networks 2026-09-17 Paper Solar Flare Prediction Using a Hybrid Convolutional Neural Network and Transformer Model 2026-09-09 Paper Periodic Neural Mapping for Unsteady Rotor-Blade Pressure and Aeroelastic Load Prediction 2026-09-18 Paper NeuIDO: Neural Intrinsic Dynamics Operator for Physics-Informed 4D World Models 2026-09-21 Paper Expanding RCWA Capabilities with Advanced S-matrix Algorithms 2026-09-09 Paper Neural Modal Decomposition: Architectural Priors from Observables 2026-09-13 Paper Continuous Delayed-Memory Stochastic Gradient Descent for Continuous-Time Reinforcement Learning from Astrophysical Time Series 2026-09-21 Paper Acoustic Dip in the Effective Temperature of Hot Brownian Motion 2026-09-22 Paper TASE-Stabilized Time-Evolving Natural Gradient Methods for Diffusion-Dominated PDEs 2026-09-22 Paper Cognitive behavior emerging in mechanical systems through reservoir encoding and active inference 2026-09-22 Paper Convergence of the Original BGN Method for Mean Curvature Flow 2026-09-23 Paper Search at the Cost of Sampling: Nearly-Instant Latent Space Bayesian Optimization 2026-09-16 Paper Bayesian Filtering in Physical Systems via Test-time Trained Flow Matching 2026-09-22 Paper Runge-Kutta-Aligned Oscillation Elimination: Restoring Superconvergence for Fully Discrete Shock-Capturing DG Schemes 2026-09-23 Paper Exact Molecular Hessians from Local MLIPs in O(N) Time Using Sparse Differentiation 2026-09-22 Paper A Variational Optimal Transport Operator on Incompressible Flow 2026-09-12 Paper Asymptotic preservation of an exponential Euler method under Hamiltonian fast advection with multiple critical points 2026-09-22 Paper Integral Chemical Reaction Neural Networks 2026-09-21 Paper NeSTR: Neural S-Transform Reconstruction for Gaussian SPDEs 2026-09-22 Paper PosteriorBench: From Point Estimates to Posterior Matching in Evaluating Generative Inverse Solvers 2026-09-17 Paper LOInK: Learned Optimal Inverse Kinematics via Structured Neural Surrogate Models 2026-09-18 Paper Set-Based Value Function Characterization and Neural Approximation of Stabilization Domains for Input-Constrained Discrete-Time Systems 2026-09-21 Paper AKAPINN: Adaptive Kolmogorov-Arnold Physics-Informed Neural Networks for approximating solutions to quasilinear partial differential equations 2026-09-23 Paper NTBuilder: Commensurate Construction of Nanotubes from Arbitrary Two-Dimensional Crystals and a Catalog of 20 Million Structures 2026-09-22 Paper D3DWA: Adaptive Weight and Prediction-Horizon for Dynamic Window Approach via Dueling Double Deep Q-Network 2026-09-22 Paper Real-Time SiPM Pulse Deconvolution for a High-Granularity Dual-readout Calorimeter with Neural Networks 2026-09-22 Paper Coupled Maxwell-Cable Framework for Action Potential Propagation in Branched Squid Giant Axons 2026-09-23 Paper An Improved Periodic Activation for PINNs Reconstructing Convective Flows 2026-09-21 Paper The Scott-Vogelius Element is Inf-Sup Stable on Freudenthal Meshes for k ≥ 4 2026-09-23 Paper Predictive Uncertainty for Neural CAE Surrogates 2026-09-23 Paper Periodic Neural Mapping for Unsteady Rotor-Blade Pressure and Aeroelastic Load Prediction 2026-09-21 Paper MARC-TS: Learning Continuous Reaction Paths for Transition-State Prediction 2026-09-23 Paper DeViGrasp: Robust Visual Mobile Grasping for Quadruped Manipulators under Degraded Perception 2026-09-22 Paper A subcell-refined entropy-residual-driven limiting strategy for high-order discontinuous Galerkin methods 2026-09-22 Paper A Geometrically Parameterized Quasi-Stationary 3D Model for High-Frequency Induction Tube Welding 2026-09-10 Paper A Physics-Informed Inverse Modeling Framework for Moose-Wolf Dynamics from Limited and Noisy Data 2026-09-17 Paper LiNiO2/NiO Phase Prediction Using Artificial Neural Networks 2026-09-22 Paper Physical Knowledge on Historical Data Matters More Than Enforcing Physical Constraints on the Forecast 2026-09-17 Paper CHOREO: Every Humanoid Skill as a Trajectory 2026-09-22 Paper Anisotropic Kernel-based Multilevel Interpolation of High-Dimensional Functions on Sparse Grids 2026-09-23 Paper Equivariant Neural Prediction of the Stokes Resistance Tensors for Arbitrary Microparticle Shapes 2026-09-22 Paper In-Context Guidance: Learning Inter-Task Synergies via Numerical Foundational Models for Few-Shot Multitask Optimization 2026-09-23 Paper Concentration of Stationary Measures onto Large Scales in the Fast-Advection Limit of the Stochastically Forced Two-Dimensional Navier-Stokes Equations 2026-09-24 Paper Prediction of Re-Ignition Times in Dielectric Barrier Discharges 2026-09-24 Paper Impact of Chemical Clustering on the Structural, Topological, and Functional Properties of Ba(Zr_xTi_{1-x})O_3: An Atomistic Simulation Study 2026-09-23 Paper Receiver-Side Physics-Informed Residual Digital Twin for Predictive Fine Tracking in Inter-Satellite Optical Links 2026-09-22 Paper GCN-Based Model for Fault Classification in Distribution Networks under Harmonic Distortion 2026-09-24 Paper CFD Correction of Open Tip Clearance Flow in a Compressor Cascade Using VAE Latent Space Adaptation 2026-09-26 Paper Towards Adaptive Interaction Strategies for Human Companion Robot via Deep Reinforcement Learning 2026-09-23 Paper Simulation-Based Inference and Unbinned Asimov Construction with Hybrid Neural Density Estimation 2026-09-24 Paper Physics-guided Inverse Design of Co-based Superalloys Using Machine Learning and Multi-objective Optimization for Enhanced γ' Solvus Temperature 2026-09-24 Paper Physics-guided inverse design of Co-based superalloys using machine learning and multi-objective optimization for enhanced gamma-prime solvus temperature 2026-09-23 Paper A Physics-Driven Framework for Parametric Periodic-Flow Modeling and Finite-Amplitude Aeroelastic Response Analysis 2026-09-24 Paper Decision-Gated Surrogate-Assisted Stochastic Optimization with Independent High-Fidelity Certification for Photovoltaic Hosting-Capacity Planning 2026-09-25 Paper Learning Operators of Geometry with an Interface Autoencoder 2026-09-24 Paper Sparse-Observation Atmospheric Thermal Forecasting with Physics-Informed Neural Networks for Climate-Aware Digital Twins 2026-09-23 Paper Analysis of trade-offs in urban heat mitigation using a Bayesian Optimization framework for an urban canopy layer model 2026-09-22 Paper Equation Discovery with Bayesian Tree-Adjoining Grammars 2026-09-25 Paper Meta-Optics-Based Diffractive Learning Machine for Angle-Multiplexed Multi-Task Processing 2026-09-23 Paper Optimal Bias Potentials via Ergodic Optimal Control and Generator Learning 2026-09-24 Paper Active Self-Consistent Field Theory for Ornstein-Uhlenbeck Polymers 2026-09-24 Paper Cosserat Modeling of Trimmed Helicoid Soft Arms with a Separated-Section Constitutive Law 2026-09-23 Paper Gravity-Informed Neural Networks for Post-Newtonian Binary Dynamics 2026-09-21 Paper Doubly exponential convergence of the cyclic steepest descent method for strictly convex quadratics in arbitrary dimensions 2026-09-23 Paper Elucidating the Conformal Structure of the Brinkman Penalisation Method for Geometry-Adapted, Structure-Preserving Operator Learning of Hamiltonian PDEs 2026-09-24 Paper Data-Assimilation-Assisted Reinforcement Learning for Power Grid Control under Load Uncertainty 2026-09-24 Paper A Harmonic-Regression ARMA Model for Rotating Machinery Dynamics Identification and Fault Detection Under Varying Conditions 2026-09-24 Paper Coupled Meta-Adaptive Filtering for Active Noise Control Under Time-Varying Acoustic Paths 2026-09-25 Paper Temporal Interfaces in Metamaterials with Shape-Varying Inclusions 2026-09-24 Paper On the Limits of Univariate Deep Learning for Significant Wave Height Forecasting 2026-09-25 Paper Exact Equivariance from Ordinary Neural Networks for Lattice Many-Body Dynamics 2026-09-24 Paper Architecture Acceleration of Machine Learning Gravitational Waveform Surrogate Models 2026-09-25 Paper Leakage-Safe Machine Learning for Hydrogen Embrittlement Detection in 316L Stainless Steel: A Region-Held-Out Evaluation of Texture and Deep Features in SEM Micrographs 2026-09-26 Paper Gradient Surgery for Physics-Informed Neural Networks 2026-09-25 Paper Physics-Informed Self-Supervised Learning for Joint Wire Calibration and Interaction Position Reconstruction in Multi-Wire Parallel Plate Avalanche Counters 2026-09-23 Paper Physics-constrained Inference of Somatic Dynamics from Dendritic Recordings in Weakly Coupled Two-Compartment Neuron Model 2026-09-21 Paper Relative periodic orbits in spatially extended Kolmogorov turbulence: from global to localized recurrence 2026-09-24 Paper Combining physical models with dynamically acquired experimental information for the optimization of multicomponent NASICON fast ionic conductors in a self-driving laboratory 2026-09-24 Paper Brain-to-Language Decoding: Tasks, Signals, Methods, Evaluation, Practical Use and Beyond 2026-09-24 Paper Untangling the Geometry and Speed for RF Sensing Spectrograms 2026-09-22 Paper Rational Design of Low-Dimensional Hybrid Organic/Inorganic Interfaces for Enhanced Second-Harmonic Generation 2026-09-24 Paper History-Conditioned Flow Matching for Probabilistic Dynamics of Tendon-Driven Continuum Robots 2026-09-22 Paper Towards Extended Active Learning for Modelling Ferroelectric Switching: the Need for 'Gold Standards' 2026-09-24 Paper A Fully Implicit Electromagnetic Energy- and Charge-Conserving PIC Model for High-β Plasma Simulations 2026-09-23
August 2026 40
Dataset CFDBench 2026-08-01 Dataset Materials Platform for Data Science 2026-08-18 Dataset CFD Surrogate Data 2026-08-03 Dataset FuXi-CFD Dataset 2026-08-01 Dataset Cross-Representation PDE Evaluation Dataset 2026-08-27 Dataset PDEControl_DPC - TI-DeepONet Training Datasets 2026-08-26 Dataset cluster-03-potential-flow-pinn Model 2026-08-26 Dataset Downstream_Physics_Simulation Dataset 2026-08-15 Dataset Morocco Ait Melloul Station Daily Average Discharge Dataset 1970-2024 2026-08-11 Dataset PDE Solver Code Perturbation Evaluation Dataset 2026-08-27 Dataset PDEBench 2026-08-01 Dataset TU Delft Turbulent Wake Dataset 2026-08-01 Dataset U-bend Thermal-Fluid Dataset 2026-08-01 Tool FEniCS / FFCx 2026-08-01 Tool Modin 2026-08-01 Tool JAX-Fluids 2026-08-01 Tool PETSc 2026-08-01 Tool PyVista 2026-08-01 Tool ai4collaboration/Qwen3-8B-Mixed-Biology-and-Physics-20K-GRPO 2026-08-21 Tool cluster-02-hydrostatic-pinn 2026-08-26 Tool Spherical Fourier Neural Operators 2026-08-11 Tool Compressible Euler Equations PINN Model 2026-08-26 Tool cluster-07-fourier-pinn 2026-08-27 Tool Physics-informed Neural Network CFD 2026-08-23 Tool cluster-06-bubble-dynamics-pinn 2026-08-27 Case Airfoil Aerodynamic Design & CFD Surrogate 2026-08-01 Case Vehicle External-Flow Surrogate & Wind-Tunnel Digitalization 2026-08-01 Case Long-Span Bridge Structural Health Monitoring & Digital Twin 2026-08-01 Case Wind-Turbine Blade Load Prediction & Surrogate 2026-08-01 Learn FNO (Fourier Neural Operator) Tutorial 2026-08-01 Learn Finite Element from Scratch in Python 2026-08-01 Learn DeepONet Getting Started 2026-08-01 Learn Physics Simulation & ML Integration Roadmap 2026-08-01 Paper Anisotropic Maxwell neural operator for rapid parametric full-wave modelling of ion cyclotron resonance heating 2026-08-26 Paper The Kuramoto Neural Operator: Learning to Solve PDEs via Coupled Oscillator Dynamics 2026-08-10 Paper ADEx-FNO: A Unified Ambient-Domain Framework for Fourier Neural Operators on Varying Geometries 2026-08-09 Paper Continually Learning Neural-Operator Surrogate for Three-Dimensional Airborne Electromagnetic Bayesian Inversion 2026-08-26 Paper Physics-Informed Neural Operator Surrogate for 2D Magnetohydrodynamic Reconnection 2026-08-25 Paper PhysicsNeMo: Neural-Operator-Based Physics Simulation Framework 2026-08-01 Paper Physics-Informed Learning Annual Review 2025-2026 2026-08-01