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Mixture fraction enhanced physics-informed neural networks for flow reconstruction in pool fires
Mixture fraction enhanced physics-informed neural networks for flow reconstruction in pool fires
Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations
Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations
Physics-Informed Neural Networks to Model and Control Robots
Physics-Informed Neural Networks to Model and Control Robots: A Theoretical and Experimental Investigation
Physics-Informed Neural Networks for Designing Spacecraft Trajectories
Physics-Informed Neural Networks for Designing Spacecraft Trajectories
Modelling of coupled reservoir and wellbore for energy transition
Modelling of coupled reservoir and wellbore for energy transition
Physics-informed neural networks for highly compressible flows
Physics-informed neural networks for highly compressible flows: assessing and enhancing shock-capturing capabilities
Neural-Network Based Thermal Modeling of Small Satellites
Neural-Network Based Thermal Modeling of Small Satellites: A First-Principles Approach
On leveraging physical knowledge to augment neural network-based surrogate models for simulations
On leveraging physical knowledge to augment neural network-based surrogate models for simulations
Physics-informed Data Augmentation for Human Radar Signatures
Physics-informed Data Augmentation for Human Radar Signatures
Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems
Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems
Application of Deep Neural Networks to the Operator Space of Nonlinear PDE for Physics-based Proxy Modeling
Application of Deep Neural Networks to the Operator Space of Nonlinear PDE for Physics-based Proxy Modeling
Velocity Reconstruction in Pool Fires using Physics-Informed Machine Learning
Velocity Reconstruction in Pool Fires using Physics-Informed Machine Learning
Physics Informed Neural Net Model for the Parameter Estimation of EV Charger
Physics Informed Neural Net Model for the Parameter Estimation of EV Charger
Solving Partial Differential Equations using Physics-Informed Neural Networks
Solving Partial Differential Equations using Physics-Informed Neural Networks
Deep Statistical Solver for Distribution System State Estimation
Deep Statistical Solver for Distribution System State Estimation
Topology Optimization and Physics-Informed Neural Networks for Metamaterial Optics Design
Topology Optimization and Physics-Informed Neural Networks for Metamaterial Optics Design
Physics-Informed Deep Learning for Computational Fluid Flow Analysis
Physics-Informed Deep Learning for Computational Fluid Flow Analysis: Coupling of physics-informed neural networks and autoencoders for aerodynamic flow predictions on variable geometries
A defect-based physics-informed machine learning framework for fatigue finite life prediction in additive manufacturing
A defect-based physics-informed machine learning framework for fatigue finite life prediction in additive manufacturing
Numerical Approaches for Investigating Quasiconvexity in the Context of Morrey’s Conjecture
Numerical Approaches for Investigating Quasiconvexity in the Context of Morrey’s Conjecture
Predicting traction return current in electric railway systems through physics-informed neural networks
Predicting traction return current in electric railway systems through physics-informed neural networks
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