45 citations · 50 across the 7 of their papers we have counts for
9 papers
SerenAI: State-transition system inspired by text-based world AI models
Elvin Babayev, Artem Sinitsa, Arash Hajisharifi +1
Although professional workflows leverage large language models widely, the interpretation for auditing unconstrained free-text generation is usually intractable if such generation…
Model Order Reduction of Cerebrovascular Hemodynamics Using POD_Galerkin and Reservoir Computing_based Approach
Rahul Halder, Arash Hajisharifi, Kabir Bakhshaei +1
We investigate model order reduction (MOR) strategies for simulating unsteady hemodynamics within cerebrovascular systems, contrasting a physics-based intrusive approach with a dat…
A Deep-Learning Enhanced Gappy Proper Orthogonal Decomposition Method for Conjugate Heat Transfer Problem
Arash Hajisharifi, Rahul Halder, Michele Girfoglio +2
The current study aims to develop a non-intrusive Reduced Order Model (ROM) to reconstruct the full temperature field for a large-scale industrial application based on both numeric…
Combining Extended Convolutional Autoencoders and Reservoir Computing for Accurate Reduced-Order Predictions of Atmospheric Flows
Arash Hajisharifi, Michele Girfoglio, Annalisa Quaini +1
Forecasting atmospheric flows with traditional discretization methods, also called full order methods (e.g., finite element methods or finite volume methods), is computationally ex…
A LSTM-enhanced surrogate model to simulate the dynamics of particle-laden fluid systems
Arash Hajisharifi, Rahul Halder, Michele Girfoglio +3
The numerical treatment of fluid-particle systems is a very challenging problem because of the complex coupling phenomena occurring between the two phases. Although accurate mathem…
Modal Analysis of the Wake Shed Behind a Horizontal Axis Wind Turbine with Flexible Blades
Sajad Salavatidezfouli, Armin Sheidani, Kabir Bakhshaei +4
The proper orthogonal decomposition has been applied on a full-scale horizontal-axis wind turbine to shed light on the wake characteristics behind the wind turbine. In reality, the…
A Comparison of Data-Driven Reduced Order Models for the Simulation of Mesoscale Atmospheric Flow
Arash Hajisharifi, Michele Girfoglio, Annalisa Quaini +1
The simulation of atmospheric flows by means of traditional discretization methods remains computationally intensive, hindering the achievement of high forecasting accuracy in shor…
Applicable Methodologies for the Mass Transfer Phenomenon in Tumble Dryers: A Review
Sajad Salavatidezfouli, Arash Hajisharifi, Michele Girfoglio +2
Tumble dryers offer a fast and convenient way of drying textiles independent of weather conditions and therefore are frequently used in ordinary households. However, artificial dry…
A Non-Intrusive Data-Driven Reduced Order Model for Parametrized CFD-DEM Numerical Simulations
Arash Hajisharifi, Francesco Romano`, Michele Girfoglio +3
The investigation of fluid-solid systems is very important in a lot of industrial processes. From a computational point of view, the simulation of such systems is very expensive, e…