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Physics-informed machine learning

Machine learning used to represent physics-based and/or engineering models

Papers

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Showing 151–192 of 192 papers

TitleStatusHype
Physics-Informed Machine Learning for Seismic Response Prediction OF Nonlinear Steel Moment Resisting Frame Structures—0
Physics-informed machine learning for sensor fault detection with flight test data—0
L-HYDRA: Multi-Head Physics-Informed Neural NetworksCode0
Towards Size-Independent Generalization Bounds for Deep Operator NetsCode0
A Statistical Evaluation of Indoor LoRaWAN Environment-Aware Propagation for 6G: MLR, ANOVA, and Residual Distribution AnalysisCode0
A Physics-Augmented GraphGPS Framework for the Reconstruction of 3D Riemann Problems from Sparse DataCode0
LaPON: A Lagrange's-mean-value-theorem-inspired operator network for solving PDEs and its application on NSECode0
RL for Mitigating Cascading Failures: Targeted Exploration via Sensitivity FactorsCode0
Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structuresCode0
Kolmogorov n-Widths for Multitask Physics-Informed Machine Learning (PIML) Methods: Towards Robust MetricsCode0
Neural oscillators for generalization of physics-informed machine learningCode0
Noise-aware Physics-informed Machine Learning for Robust PDE DiscoveryCode0
Hyperspectral Blind Unmixing using a Double Deep Image PriorCode0
Zero Coordinate Shift: Whetted Automatic Differentiation for Physics-informed Operator LearningCode0
Non-overlapping, Schwarz-type Domain Decomposition Method for Physics and Equality Constrained Artificial Neural NetworksCode0
Physics-informed machine learning for the COVID-19 pandemic: Adherence to social distancing and short-term predictions for eight countriesCode0
Unsupervised Discovery of Extreme Weather Events Using Universal Representations of Emergent OrganizationCode0
Physics-Informed Machine Learning Method for Large-Scale Data Assimilation ProblemsCode0
Value Approximation for Two-Player General-Sum Differential Games with State ConstraintsCode0
PDE-DKL: PDE-constrained deep kernel learning in high dimensionalityCode0
Π-ML: A dimensional analysis-based machine learning parameterization of optical turbulence in the atmospheric surface layerCode0
Evaluation of GlassNet for physics-informed machine learning of glass stability and glass-forming abilityCode0
Physics Encoded Blocks in Residual Neural Network Architectures for Digital Twin ModelsCode0
Physics-Informed Calibration of Aeromagnetic Compensation in Magnetic Navigation Systems using Liquid Time-Constant NetworksCode0
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series AnalysisCode0
State-space models are accurate and efficient neural operators for dynamical systemsCode0
Adapting Physics-Informed Neural Networks to Improve ODE Optimization in Mosquito Population DynamicsCode0
Physics-Informed Deep Neural Networks for Transient Electromagnetic AnalysisCode0
Differentiable Predictive Control for Large-Scale Urban Road NetworksCode0
Separable DeepONet: Breaking the Curse of Dimensionality in Physics-Informed Machine LearningCode0
Physics-informed kernel learningCode0
Physics-informed machine learning as a kernel methodCode0
Estimating irregular water demands with physics-informed machine learning to inform leakage detectionCode0
An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential EquationsCode0
Separable Hamiltonian Neural NetworksCode0
Viscoelastic Constitutive Artificial Neural Networks (vCANNs) - a framework for data-driven anisotropic nonlinear finite viscoelasticityCode0
Differentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain HyperelasticityCode0
Physics-informed machine learning techniques for edge plasma turbulence modelling in computational theory and experimentCode0
Reconstructing Physics-Informed Machine Learning for Traffic Flow Modeling: a Multi-Gradient Descent and Pareto Learning ApproachCode0
Deep Learning Evidence for Global Optimality of Gerver's SofaCode0
Physics-informed Discretization-independent Deep Compositional Operator NetworkCode0
A Machine Learning Pressure Emulator for Hydrogen EmbrittlementCode0
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