103 citations · 274 across the 15 of their papers we have counts for
6 papers · 1 filter
Optimizing Flow Control with Deep Reinforcement Learning: Plasma Actuator Placement around a Square Cylinder
Mustafa Z Yousif, Kolesova Paraskovia, Yifang Yang +5
The present study proposes an active flow control (AFC) approach based on deep reinforcement learning (DRL) to optimize the performance of multiple plasma actuators on a square cyl…
A Swin-Transformer-based Model for Efficient Compression of Turbulent Flow Data
Meng Zhang, Mustafa Z Yousif, Linqi Yu +1
This study proposes a novel deep-learning-based method for generating reduced representations of turbulent flows that ensures efficient storage and transfer while maintaining high…
An exhaustive review of studies on bio-inspired convergent-divergent riblets
Arash Mohammadikarachi, Mustafa Z. Yousif, Bagus Nugroho +1
Inspired by the unique textures of shark skin and bird flight feathers and tails, the convergent-divergent surface pattern holds promise in modulating boundary layer structures. Th…
Active flow control over a finite wall-mounted square cylinder by using multiple plasma actuators
Mustafa Z. Yousif, Yifan Yang, Haifeng Zhou +3
The present study aims to investigate the effectiveness of plasma actuators in controlling the flow around a finite wall-mounted square cylinder (FWMSC) with a longitudinal aspect…
Predicting unavailable parameters from existing velocity fields of turbulent flows using a GAN-based model
Linqi Yu, Mustafa Z. Yousif, Young-Woo Lee +4
In this study, an efficient deep-learning model is developed to predict unavailable parameters, e.g., streamwise velocity, temperature, and pressure from available velocity compone…
Physics-guided deep reinforcement learning for flow field denoising
Mustafa Z. Yousif, Meng Zhang, Yifan Yang +3
A multi-agent deep reinforcement learning (DRL)-based model is presented in this study to reconstruct flow fields from noisy data. A combination of the reinforcement learning with…