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Synergistic Enhancement of Unsteady Aerodynamic Modeling via Distributed Pressure Field Fusion
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Multi-fidelity transonic aerodynamic loads estimation using Bayesian neural networks with transfer learning
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Prediction of unsteady post-stall aerodynamics of a multi-element airfoil using LSTM-based architecture
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Mechanism analysis of hysteretic aerodynamic characteristics on variable-sweep wings
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Multisource aerodynamic data reconstruction method using an enhanced multifidelity neural network
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A robust, colocated, implicit algorithm for direct numerical simulation of compressible, turbulent flows
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Asymptotic and numerical analysis of an inviscid bounded vortex flow at low Mach number
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Dynamic stall behavior from unsteady force measurements
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Comparison of CNN-based deep learning architectures for unsteady CFD acceleration on small datasets
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Mean flow reconstruction of unsteady flows using physics-informed neural networks
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Efficient prediction of turbulent flow quantities using a Bayesian hierarchical multifidelity model
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Adaptive Bayesian learning for stability characterization of re-entry vehicles
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The Challenge of Unsteady Separating Flows
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Aerodynamic Data Fusion Toward the Digital Twin Paradigm
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Nonlinear Aeroelastic Reduced Order Modeling with Optimized Sparse Multi-Input Volterra Kernels
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Application of nonlinear systems theory to transonic unsteady aerodynamic responses
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State-space representation of aerodynamic characteristics of an aircraft at high angles of attack
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Fusion of Single-Point and Distributed Aerodynamic Datasets for Wake Encounter Flight Simulation
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Surrogate Unsteady Aerodynamic Modeling with Autoencoders and LSTM Networks
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Prediction of airfoil dynamic stall response using convolutional neural networks
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Low-Interference Wind Tunnel Measurement Technique for Pitch Damping Coefficients at Transonic and Low Supersonic Mach Numbers
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