Reza Hassanian

Deep Learning Forecasts a Strained Turbulent Flow Velocity Field in Temporal Lagrangian Framework: Comparison of LSTM and GRU

Reza Hassanian, Ásdís Helgadóttir, Morris Riedel · Fluids · 2022 · 17 citations · Full text

Convolutional Neural Network, Flow Control, Machine Learning +18

Deciphering the dynamics of distorted turbulent flows: Lagrangian particle tracking and chaos prediction through transformer-based deep learning models

Reza Hassanian, Hemanadhan Myneni, Ásdís Helgadóttir et al. · Physics of Fluids · 2023 · 16 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +22

The Capability of Recurrent Neural Networks to Predict Turbulence Flow via Spatiotemporal Features

Reza Hassanian, Morris Riedel, Lahcen Bouhlali · 2022 · 13 citations

Engineering, Machine Learning, Data Science +15

Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures

Morris Riedel, Rocco Sedona, Chadi Barakat et al. · 2021 · 12 citations

An experiment generates a specified mean strained rate turbulent flow: Dynamics of particles

Reza Hassanian, Ásdís Helgadóttir, Lahcen Bouhlali et al. · Physics of Fluids · 2022 · 11 citations · Full text

Engineering, Fluid Mechanics, Mechanical Engineering +19