张玮玮

2026

Hypernetwork-augmented LSTM improves unsteady aerodynamic reduced-order modeling

Chinese Journal of Aeronautics

DOI

2026

Aeroelastic characteristics and mechanism of plunging mode in turbine cascades under transonic buffet flow

The Physics of Fluids

DOI

2026

Causal inference in fluid mechanics: Introduction, progress, and outlook

The Physics of Fluids

DOI

2026

Hierarchical Dimensionless Learning: A physics-data hybrid-driven approach for discovering dimensionless parameter combinations

Engineering applications of artificial intelligence

DOI

2026

Scaling for compression waves/boundary layer interaction based on equivalent interaction intensity

Journal of Fluid Mechanics

DOI

2026

Computational and Experimental Study of a Transonic All‐Movable Fin With Freeplay

International Journal of Aerospace Engineering

DOI

2026

Causal analysis of a turbulent shear flow model

Journal of Fluid Mechanics

DOI

2026

A New Perspective on Efficient and High-Fidelity Prediction of Unsteady Flow in Airfoil Dynamic Stall

Aerospace Science and Technology

DOI

2026

Physics-informed neural networks (PINNs) as intelligent computing technique for solving partial differential equations:Limitation and future prospects

Science China(Physics,Mechanics & Astronomy)

2025

Mechanism analysis of frequency lock-in vibration in turbine cascades under transonic buffet flow conditions

The Physics of Fluids

DOI

2025

Scaling function learning: A sparse aerodynamic data reconstruction method for various aircraft shapes

Chinese Journal of Aeronautics

DOI

2025

A Scientometric Investigation of Artificial Intelligence for Fluid Mechanics: Emerging Topics and Active Groups

Progress in Aerospace Sciences

DOI

2025

A matrix preconditioning framework for physics-informed neural networks based on the adjoint method

The Physics of Fluids

DOI

2025

Mechanism of flapwise vibration of a wind turbine airfoil under trailing edge windward states using aeroelastic reduced-order model

Energy

DOI

2025

An effective convergence accelerator of fluid simulations via generative diffusion probabilistic model

Aerospace Science and Technology

DOI

2025

Open-loop linear modeling method for unstable flow utilizing built-in data-driven feedback controllers

Physical Review Fluids

DOI

2025

Resolvent-based shape optimisation for a two-dimensional cylinder at low Reynolds numbers

Journal of Fluid Mechanics

DOI

2025

Multi-fidelity aerodynamic reduced-order model based on gating mechanism

Chinese Journal of Aeronautics

DOI

2025

Transonic buffet flow adaptive control with time-variant reduced-order model

Journal of Fluid Mechanics

DOI

2025

Multi-fidelity aerodynamic fusion modeling via shared-parallel neural network structure

Structural And Multidisciplinary Optimization

DOI

2025

High-Reynolds-Number Turbulence Database: AeroFlowData

Scientific Data

DOI

2025

Forced Response Analysis of Rotor Blades with the Mode-Based Aeroelastic Model

Journal of Aerospace Engineering

DOI

2025

Data-enabled discovery of specific and generalisable turbulence closures

Journal of Fluid Mechanics

DOI

2025

Gust Response Alleviation with Model-Free Adaptive Control Method in Transonic Flow

Journal of Aerospace Engineering

DOI

2025

Data-knowledge-driven dynamic stall modeling guided by stall patterns and semi-empirical model

The Physics of Fluids

DOI

2025

Multisource aerodynamic data reconstruction method using an enhanced multifidelity neural network

Engineering applications of artificial intelligence

DOI

2025

The mechanism of galloping control with a passive modal controller

Journal of Fluids and Structures

DOI

2025

Data-driven turbulence modeling: A mutually coupled framework for symbolic regression and data assimilation

The Physics of Fluids

DOI

2025

Solving parametric high-Reynolds-number wall-bounded turbulence around airfoils governed by Reynolds-averaged Navier–Stokes equations using time-stepping-oriented neural network

The Physics of Fluids

DOI

2025

Geometric feature knowledge-driven surrogate-based optimization via aerodynamic supervised autoencoder

Aerospace Science and Technology

DOI

2025

Flow3DNet: A deep learning framework for efficient simulation of three-dimensional wing flow fields

Aerospace Science and Technology

DOI

2025

Improved Quadratic Constitutive Relation via Turbulence Anisotropy Analysis and Symbolic Regression

Aerospace Science and Technology

DOI

2025

Data-Driven Control of Shock Train Using Radial Basis Function Neural Network

AIAA Journal

DOI

2025

Data-Driven Adverse Pressure Gradient Correction for Turbulence Model

AIAA Journal

DOI

2024

Development and deployment of data-driven turbulence model for three-dimensional complex configurations

Machine Learning: Science and Technology

DOI

2024

MHA-Net : Multi-source Heterogeneous Aerodynamic Data Fusion Neural Network Embedding Reduced-dimension Features

Aerospace Science and Technology

DOI

2024

Dynamic characteristic of transonic aeroelasticity affected by fluid mode in pre-buffet flow

Journal of Fluid Mechanics

DOI

2024

Shock Buffet Onset Prediction with Flow Feature-Informed Neural Network

Aerospace Science and Technology

DOI

2024

A Data Assimilation Method for Recovering Turbulent Flows Using Heterogeneous Experimental Data

Aerospace Science and Technology

DOI

2024

Small-scale turbulent characteristics in transcritical wall-bounded flows

Journal of Fluid Mechanics

DOI

2024

Prediction model of aircraft hinge moment: Compressed sensing based on proper orthogonal decomposition

The Physics of Fluids

DOI

2024

ED-ResNet: Euler Equation Embedding Double-Series Residual Neural Network for Aerothermal Modeling

AIAA Journal

DOI

2024

Suppression of oscillatory fluid forces in cylinder wake: Optimal jet control position designed through resolvent analysis

The Physics of Fluids

DOI

2024

Rotationary feedback control of the cylinder wake flow using a linear dynamic model

The Physics of Fluids

DOI

2024

Efficient multi-fidelity reduced-order modeling for nonlinear flutter prediction

Aerospace Science and Technology

DOI

2024

Fast fluid–structure interaction simulation method based on deep learning flow field modeling

The Physics of Fluids

DOI

2024

Mechanisms and models of the turbulent boundary layers at transcritical conditions

Physical Review Fluids

DOI

2024

Elimination of lock-in phenomenon in vortex-induced vibration by passive modal control

Journal of Fluid Mechanics

DOI

2024

On the mechanism of transonic buzz passive suppression with global stability analysis

Aerospace Science and Technology

DOI

2024

Adaptive control of transonic buffet and buffeting flow with deep reinforcement learning

The Physics of Fluids

DOI

2024

On the mean structure and unsteadiness of dual shock wave–turbulent boundary layer interactions

Journal of Fluid Mechanics

DOI

2024

A novel accelerated convergence method for solving adjoint equations based on modal reduction

The Physics of Fluids

DOI

2023

Experimental investigation on the nodal-shaped oscillation in vortex-induced vibration of a rectangular cylinder

The Physics of Fluids

DOI

2023

Open-loop flow control design guided by the amplitude-frequency characteristics of the reduced-order model

The Physics of Fluids

DOI

2023

Machine learning of partial differential equations from noise data

Theoretical and Applied Mechanics Letters

2022

一类具有混合时滞的分数阶神经网络的有限时间同步分析

《安庆师范大学学报(自然科学版)》

2022

有关里卡蒂方程的系统研究

《安庆师范大学学报(自然科学版)》

2022

分数阶时滞忆阻神经网络的有限时间投影同步

《安庆师范大学学报(自然科学版)》

2022

Riemann-Liouville型分数阶时滞惯性复值神经网络的全局渐近同步性

《安庆师范大学学报(自然科学版)》

2021

一类分数阶时滞神经网络的有限时间同步行为分析

《安庆师范大学学报(自然科学版)》

DOI

2020

分数阶复值时滞神经网络的准一致同步

《安庆师范大学学报(自然科学版)》

DOI

2018

一类基于忆阻器分数阶时滞神经网络的修正投影同步

《应用数学和力学》

2017

关于一类广义Riccati方程的求解

《安庆师范大学学报(自然科学版)》

2017

不同阶数不同维数的分数阶混沌系统的时滞混合投影同步（英文）

《工程数学学报》

2016

基于线性控制的分数阶混沌系统的对偶投影同步

《应用数学和力学》

2016

不同阶数的分数阶超混沌系统的同步

《安庆师范大学学报(自然科学版)》

2015

一类特殊类型的Riccati方程的求解

《安庆师范大学学报(自然科学版)》

2013

时滞混沌神经网络的指数同步

《安庆师范大学学报(自然科学版)》

2011

两个不同混沌系统的广义自适应投影同步

《安庆师范大学学报(自然科学版)》

2010

随机变时滞模糊神经网络的均方指数稳定性

《数学的实践与认识》

2009

Global exponential stability of delayed reaction-diffusion neural networks with time-varying coefficients

Expert Systems With Applications，Vol. 36, No. 6

DOI

2009

2个超混沌系统的自适应同步设计

《昆明理工大学学报(自然科学版)》

2026

Optimization-Based Discovery of A Non-Attracting Flow State in An Oscillating-Cylinder Wake

arXiv preprint

2026

Physics-informed neural networks for shock capturing in inviscid flows around an airfoil

arXiv preprint

2026

Single-condition neural solvers encode transferable response spaces for parametric differential equations

arXiv preprint

2026

Skin friction prediction for attached flows based on two-dimensional inviscid solutions

arXiv preprint

2026

Verified residual-specific explicit derivative kernels for physics-informed learning and discretized PDE adjoints

arXiv preprint

2026

A Physics-Driven Framework for Parametric Periodic-Flow Modeling and Finite-Amplitude Aeroelastic Response Analysis

arXiv preprint

2026

Online reduced-order modeling from primal solver trajectories for PDE-constrained optimization

arXiv preprint

2026

Solving compressible Navier-Stokes equations using the feature-enhanced neural network

arXiv preprint

2026

Linearized subspace refinement framework to expose hidden accuracy in trained neural networks

arXiv preprint

2025

A data-driven convergence booster for accelerating and stabilizing pseudo time-stepping

arXiv preprint

2025

A novel parallelizable convergence accelerating method: Pointwise Frequency Damping

arXiv preprint

2025

Solving all laminar flows around airfoils all-at-once using a parametric neural network solver

arXiv preprint

2025

Towards a Generalized SA Model: Symbolic Regression-Based Correction for Separated Flows

arXiv preprint

2025

FENN: Feature-enhanced neural network for solving partial differential equations involving fluid mechanics

arXiv preprint

2025

Overcoming the Loss Conditioning Bottleneck in Optimization-Based PDE Solvers: A Novel Well-Conditioned Loss Function

arXiv preprint

2024

A solver for subsonic flow around airfoils based on physics-informed neural networks and mesh transformation

arXiv preprint

DOI

2024

VW-PINNs: A volume weighting method for PDE residuals in physics-informed neural networks

arXiv preprint

2024

New Interpretation for error propagation of data-driven Reynolds stress closures via global stability analysis

arXiv preprint

2024

A complete state-space solution model for inviscid flow around airfoils based on physics-informed neural networks

arXiv preprint

DOI

2024

Discovery of knowledge of wall-bounded turbulence via symbolic regression

arXiv preprint

2024

PINN-MG: A Multigrid-Inspired Hybrid Framework Combining Iterative Method and Physics-Informed Neural Networks

arXiv preprint

2024

QLingNet: An efficient and flexible modeling framework for subsonic airfoils

arXiv preprint

2024

An analysis and solution of ill-conditioning in physics-informed neural networks

arXiv preprint

2024

Goal-oriented Feature Extraction: a novel approach for enhancing data-driven surrogate model

arXiv preprint

2023

A novel paradigm for solving PDEs: multi scale neural computing

arXiv preprint

2023

Fast simulation of airfoil flow field via deep neural network

arXiv preprint

2023

TSONN: Time-stepping-oriented neural network for solving partial differential equations

arXiv preprint

2022

An experimental modal testing method for subcritical flow around a cylinder

arXiv preprint

DOI

2022

Fast sparse flow field prediction around airfoils via multi-head perceptron based deep learning architecture

arXiv preprint

2022

A novel convergence enhancement method based on Online Dimension Reduction Optimization

arXiv preprint

DOI

2021

Analysis on numerical stability and convergence of RANS turbulence models from the perspective of coupling modes

arXiv preprint

DOI

2021

Experimental study on Vortex-Induced Vibration of Cylinder at Subcritical Reynolds Number

arXiv preprint

2021

UCNN: A Convolutional Strategy on Unstructured Mesh

arXiv preprint

2021

High Reynolds number airfoil turbulence modeling method based on machine learning technique

arXiv preprint

2021

Deep Learning for Multi-Fidelity Aerodynamic Distribution Modeling from Experimental and Simulation Data

arXiv preprint

2020

Machine learning for adjoint vector in aerodynamic shape optimization

arXiv preprint

2020

A new data assimilation method of recovering turbulent flow field at high-Reynolds numbers for turbulence machine learning

arXiv preprint

2020

Transonic aeroelasticity: a new perspective from the fluid mode

arXiv preprint

DOI

2019

Comparisons of Two Reduced-Order Models for Linearized Unsteady Aerodynamic Identification

arXiv preprint

2018

Machine learning methods for turbulence modeling in subsonic flows over airfoils

arXiv preprint

2018

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

arXiv preprint

DOI

2018

Mode Multigrid - A novel convergence acceleration method

arXiv preprint