Unsteady aerodynamic reduced-order modeling based on machine learning across multiple airfoils

On deep-learning-based geometric filtering in aerodynamic shape optimization

(2021) Jichao Li et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Enhanced data efficiency using deep neural networks and Gaussian processes for aerodynamic design optimization

(2021) S. Ashwin Renganathan et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Data assimilation empowered neural network parametrizations for subgrid processes in geophysical flows

(2021) Suraj Pawar et al.   Physical Review Fluids

Data-driven modeling for unsteady aerodynamics and aeroelasticity

(2021) Jiaqing Kou et al.   PROGRESS IN AEROSPACE SCIENCES

Non-intrusive reduced-order model for predicting transonic flow with varying geometries

(2020) Zhiwei SUN et al.   Chinese Journal of Aeronautics

A review on computational intelligence for identification of nonlinear dynamical systems

(2020) Giuseppe Quaranta et al.   NONLINEAR DYNAMICS

Origins of atypical shock buffet motions on a supercritical aerofoil

(2020) Nicholas F. Giannelis et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Regularized ensemble Kalman methods for inverse problems

(2020) Xin-Lei Zhang et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Adaptive control of transonic buffet flows over an airfoil

(2020) Kai Ren et al.   PHYSICS OF FLUIDS

Turbulence closure for high Reynolds number airfoil flows by deep neural networks

(2020) Linyang Zhu et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Efficient prediction of transonic flutter boundaries for varying Mach number and angle of attack via LSTM network

(2020) Wencheng Li et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Deep neural network for unsteady aerodynamic and aeroelastic modeling across multiple Mach numbers

(2019) Kai Li et al.   NONLINEAR DYNAMICS

Fast flow field prediction over airfoils using deep learning approach

(2019) Vinothkumar Sekar et al.   PHYSICS OF FLUIDS

Machine Learning for Fluid Mechanics

(2019) Steven L. Brunton et al.   Annual Review of Fluid Mechanics

Aeroelastic global structural optimization using an efficient CFD-based reduced order model

(2019) Dongfeng Li et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Perspective on machine learning for advancing fluid mechanics

(2019) M. P. Brenner et al.   Physical Review Fluids

Benchmark aerodynamic shape optimization with the POD-based CST airfoil parametric method

(2018) Xiaojing Wu et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Reduced-Order Modeling for Nonlinear Aeroelasticity with Varying Mach Numbers

(2018) Jiaqing Kou et al.   JOURNAL OF AEROSPACE ENGINEERING

A novel unsteady aerodynamic Reduced-Order Modeling method for transonic aeroelastic optimization

(2018) Ziyi Wang et al.   JOURNAL OF FLUIDS AND STRUCTURES

Model identification of reduced order fluid dynamics systems using deep learning

(2017) Z. Wang et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS

Reduced-Order Modeling of Unsteady Aerodynamics for an Elastic Wing with Control Surfaces

(2017) Haojie Liu et al.   JOURNAL OF AEROSPACE ENGINEERING

An approach to enhance the generalization capability of nonlinear aerodynamic reduced-order models

(2016) Jiaqing Kou et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Nonlinear Aerodynamic Reduced-Order Model for Limit-Cycle Oscillation and Flutter

(2016) Weiwei Zhang et al.   AIAA JOURNAL

Evaluation of Aerodynamic Loads via Reduced-Order Methodology

(2015) Marco Fossati   AIAA JOURNAL

Closed-Loop Turbulence Control: Progress and Challenges

(2015) Steven L. Brunton et al.   Applied Mechanics Reviews

Deep learning

(2015) Yann LeCun et al.   NATURE

A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems

(2015) Peter Benner et al.   SIAM REVIEW

Reduced-Order Aeroelastic Models for Dynamics of Maneuvering Flexible Aircraft

(2014) Henrik Hesse et al.   AIAA JOURNAL

Unsteady Aerodynamic Modeling of Aircraft Control Surfaces by Indicial Response Methods

(2014) Mehdi Ghoreyshi et al.   AIAA JOURNAL

Transonic Limit Cycle Oscillation Analysis Using Aerodynamic Describing Functions and Superposition Principle

(2014) Shun He et al.   AIAA JOURNAL

Reduced-Order Modeling of Unsteady Aerodynamics Across Multiple Mach Regimes

(2014) Torstens Skujins et al.   JOURNAL OF AIRCRAFT

Nonlinear aeroelastic reduced order modeling by recurrent neural networks

(2014) Andrea Mannarino et al.   JOURNAL OF FLUIDS AND STRUCTURES

Efficient reduced-order modeling of unsteady aerodynamics robust to flight parameter variations

(2014) Haojie Liu et al.   JOURNAL OF FLUIDS AND STRUCTURES

Reduced order unsteady aerodynamic modeling for stability and control analysis using computational fluid dynamics

(2014) Mehdi Ghoreyshi et al.   PROGRESS IN AEROSPACE SCIENCES

The human splicing code reveals new insights into the genetic determinants of disease

(2014) H. Y. Xiong et al.   SCIENCE

Efficient Method for Limit Cycle Flutter Analysis Based on Nonlinear Aerodynamic Reduced-Order Models

(2012) Weiwei Zhang et al.   AIAA JOURNAL

Reduced-Order Modeling of Flutter and Limit-Cycle Oscillations Using the Sparse Volterra Series

(2012) Maciej Balajewicz et al.   JOURNAL OF AIRCRAFT

Support-Vector-Machine-Based Reduced-Order Model for Limit Cycle Oscillation Prediction of Nonlinear Aeroelastic System

(2012) Gang Chen et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Reduced-Order Nonlinear Unsteady Aerodynamic Modeling Using a Surrogate-Based Recurrence Framework

(2010) Bryan Glaz et al.   AIAA JOURNAL

Dynamic mode decomposition of numerical and experimental data

(2010) PETER J. SCHMID   JOURNAL OF FLUID MECHANICS

Review of unsteady transonic aerodynamics: Theory and applications

(2010) Oddvar O. Bendiksen   PROGRESS IN AEROSPACE SCIENCES

Interpolation Method for Adapting Reduced-Order Models and Application to Aeroelasticity

(2008) D. Amsallem et al.   AIAA JOURNAL