| NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine Learning | Mar 20, 2025 | Feature EngineeringPhysics-informed machine learning | CodeCode Available | 3 | 5 |
| Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications | Nov 15, 2022 | Physics-informed machine learning | CodeCode Available | 2 | 5 |
| Adaptive Training of Grid-Dependent Physics-Informed Kolmogorov-Arnold Networks | Jul 24, 2024 | Kolmogorov-Arnold NetworksPhysics-informed machine learning | CodeCode Available | 2 | 5 |
| Fully-fused Multi-Layer Perceptrons on Intel Data Center GPUs | Mar 26, 2024 | GPUImage Compression | CodeCode Available | 2 | 5 |
| Non-destructive Degradation Pattern Decoupling for Ultra-early Battery Prototype Verification Using Physics-informed Machine Learning | Jun 1, 2024 | AttributePhysics-informed machine learning | CodeCode Available | 2 | 5 |
| Physics-Informed Machine Learning Simulator for Wildfire Propagation | Dec 12, 2020 | BIG-bench Machine LearningPhysics-informed machine learning | CodeCode Available | 1 | 5 |
| Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management | Jun 21, 2022 | BIG-bench Machine LearningManagement | CodeCode Available | 1 | 5 |
| Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference | Sep 19, 2022 | Bayesian InferencePhysics-informed machine learning | CodeCode Available | 1 | 5 |
| Physics-constrained deep learning postprocessing of temperature and humidity | Dec 7, 2022 | Deep LearningPhysics-informed machine learning | CodeCode Available | 1 | 5 |
| Multi-Objective Loss Balancing for Physics-Informed Deep Learning | Oct 19, 2021 | Deep LearningPhysics-informed machine learning | CodeCode Available | 1 | 5 |
| Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics | Jan 31, 2020 | Bayesian InferencePhysical Simulations | CodeCode Available | 1 | 5 |
| A physics-informed neural network for wind turbine main bearing fatigue | May 5, 2020 | Graph RegressionGraph-to-Sequence | CodeCode Available | 1 | 5 |
| A Gaussian Process Framework for Solving Forward and Inverse Problems Involving Nonlinear Partial Differential Equations | Jan 7, 2024 | Physics-informed machine learning | CodeCode Available | 1 | 5 |
| Physics-informed Neural Networks-based Model Predictive Control for Multi-link Manipulators | Sep 22, 2021 | Model Predictive ControlPhysics-informed machine learning | CodeCode Available | 1 | 5 |
| Social Physics Informed Diffusion Model for Crowd Simulation | Feb 8, 2024 | DenoisingPhysics-informed machine learning | CodeCode Available | 1 | 5 |
| Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEs | Jul 4, 2024 | Operator learningPhysics-informed machine learning | CodeCode Available | 1 | 5 |
| Fleet Prognosis with Physics-informed Recurrent Neural Networks | Jan 16, 2019 | Graph RegressionGraph-to-Sequence | CodeCode Available | 1 | 5 |
| Physics informed machine learning with Smoothed Particle Hydrodynamics: Hierarchy of reduced Lagrangian models of turbulence | Oct 25, 2021 | BIG-bench Machine LearningPhysics-informed machine learning | CodeCode Available | 1 | 5 |
| Physics-informed neural networks for highly compressible flows | Sep 15, 2023 | Physics-informed machine learning | CodeCode Available | 1 | 5 |
| Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems | Dec 17, 2019 | BIG-bench Machine LearningPhysics-informed machine learning | CodeCode Available | 1 | 5 |
| STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction | Sep 1, 2022 | Physics-informed machine learningSpatio-Temporal Forecasting | CodeCode Available | 1 | 5 |
| QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs | Mar 20, 2025 | BenchmarkingPhysics-informed machine learning | CodeCode Available | 1 | 5 |
| Physics-informed neural networks for corrosion-fatigue prognosis | Sep 22, 2019 | Graph RegressionGraph-to-Sequence | CodeCode Available | 1 | 5 |
| Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forecasting | Sep 15, 2020 | BIG-bench Machine LearningPhysics-informed machine learning | CodeCode Available | 1 | 5 |
| Physics-informed Discretization-independent Deep Compositional Operator Network | Apr 21, 2024 | Physics-informed machine learning | CodeCode Available | 0 | 5 |
| A Machine Learning Pressure Emulator for Hydrogen Embrittlement | Jun 22, 2023 | Physics-informed machine learning | CodeCode Available | 0 | 5 |
| Physics-informed machine learning techniques for edge plasma turbulence modelling in computational theory and experiment | May 16, 2022 | Physics-informed machine learning | CodeCode Available | 0 | 5 |
| Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems | Jul 30, 2021 | BIG-bench Machine Learningparameter estimation | CodeCode Available | 0 | 5 |
| Physics-informed machine learning for the COVID-19 pandemic: Adherence to social distancing and short-term predictions for eight countries | Aug 18, 2020 | BIG-bench Machine LearningPhysics-informed machine learning | CodeCode Available | 0 | 5 |
| Physics-informed machine learning as a kernel method | Feb 12, 2024 | Physics-informed machine learningregression | CodeCode Available | 0 | 5 |
| DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series Analysis | Dec 1, 2024 | Computational EfficiencyPhysics-informed machine learning | CodeCode Available | 0 | 5 |
| Physics-Informed Calibration of Aeromagnetic Compensation in Magnetic Navigation Systems using Liquid Time-Constant Networks | Jan 17, 2024 | Physics-informed machine learning | CodeCode Available | 0 | 5 |
| Physics-Informed Deep Neural Networks for Transient Electromagnetic Analysis | Aug 4, 2020 | DecoderPhysics-informed machine learning | CodeCode Available | 0 | 5 |
| Non-overlapping, Schwarz-type Domain Decomposition Method for Physics and Equality Constrained Artificial Neural Networks | Sep 20, 2024 | Physics-informed machine learning | CodeCode Available | 0 | 5 |
| Neural oscillators for generalization of physics-informed machine learning | Aug 17, 2023 | Physics-informed machine learning | CodeCode Available | 0 | 5 |
| PDE-DKL: PDE-constrained deep kernel learning in high dimensionality | Jan 30, 2025 | Computational EfficiencyGaussian Processes | CodeCode Available | 0 | 5 |
| Deep Learning Evidence for Global Optimality of Gerver's Sofa | Jul 15, 2024 | Computational EfficiencyDeep Learning | CodeCode Available | 0 | 5 |
| L-HYDRA: Multi-Head Physics-Informed Neural Networks | Jan 5, 2023 | Few-Shot LearningMeta-Learning | CodeCode Available | 0 | 5 |
| Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures | Jul 16, 2022 | Physics-informed machine learning | CodeCode Available | 0 | 5 |
| Towards Size-Independent Generalization Bounds for Deep Operator Nets | May 23, 2022 | BIG-bench Machine LearningGeneralization Bounds | CodeCode Available | 0 | 5 |
| An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations | Jun 17, 2023 | Physics-informed machine learning | CodeCode Available | 0 | 5 |
| A Physics-Augmented GraphGPS Framework for the Reconstruction of 3D Riemann Problems from Sparse Data | May 27, 2025 | Physics-informed machine learning | CodeCode Available | 0 | 5 |
| Differentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain Hyperelasticity | Jul 15, 2024 | GPUPhysics-informed machine learning | CodeCode Available | 0 | 5 |
| Hyperspectral Blind Unmixing using a Double Deep Image Prior | Aug 21, 2023 | Hyperspectral UnmixingImage Generation | CodeCode Available | 0 | 5 |
| Noise-aware Physics-informed Machine Learning for Robust PDE Discovery | Jun 26, 2022 | BIG-bench Machine LearningDenoising | CodeCode Available | 0 | 5 |
| Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods: Towards Robust Metrics | Feb 16, 2024 | Physics-informed machine learning | CodeCode Available | 0 | 5 |
| A Statistical Evaluation of Indoor LoRaWAN Environment-Aware Propagation for 6G: MLR, ANOVA, and Residual Distribution Analysis | Apr 23, 2025 | Hybrid Machine LearningIndoor Localization | CodeCode Available | 0 | 5 |
| Evaluation of GlassNet for physics-informed machine learning of glass stability and glass-forming ability | Mar 15, 2024 | Physics-informed machine learning | CodeCode Available | 0 | 5 |
| Physics-informed kernel learning | Sep 20, 2024 | Physics-informed machine learning | CodeCode Available | 0 | 5 |
| Adapting Physics-Informed Neural Networks to Improve ODE Optimization in Mosquito Population Dynamics | Jun 7, 2024 | Physics-informed machine learning | CodeCode Available | 0 | 5 |
