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20232026
most citedA Non-Intrusive Data-Driven Reduced Order Model for Parametrized CFD-DEM Numerical Simulations

45 citations · 50 across the 7 of their papers we have counts for

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5 papers · 1 filter

math.NA2026

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…

math.NA2025

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…

math.NA2024

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…

math.NA2023★ 2 cited

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…

math.NA2023★ 2 cited

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…