output
20112025
most citedDigital Metasurface Based on Graphene: An Application to Beam Steering in Terahertz Plasmonic Antennas

155 citations

46 papers

cond-mat.stat-mech2025★ 2 cited

Mittag-Leffler Quantum Statistics and Thermodynamic Anomalies

Maryam Seifi, Zahra Ebadi, Hamzeh Agahi +2

Building upon the framework established in our recent work [M. Seifi et al., Phys. Rev. E 111, 054114 (2025)], wherein a generalized Maxwell Boltzmann distribution was formulated u…

physics.flu-dyn2025★ 35 cited

Analytical and numerical investigation of heat transfer of porous fin in a local thermal non-equilibrium state

Payam Jalili, Salar Ghadiri Alamdari, Bahram Jalili +2

This research employs a local thermal non-equilibrium (LTNE) model to analyze the heat transfer phenomenon through a porous fin, considering natural convection and radiation effect…

physics.flu-dyn2025★ 9 cited

Analysis of bio-nanofluid flow over a stretching sheet with slip boundaries

Bahram Jalili, Salar Ghadiri Alamdari, Payam Jalili +1

A viscous, incompressible, micropolar bio-nanofluid flowing across a stretching sheet in three dimensions while being driven to convect several slip boundaries in the presence of a…

math.OC2025

Linear Algebra Problems Solved by Using Damped Dynamical Systems on the Stiefel Manifold

M Gulliksson, A Oleynik, M Ogren +1

We develop a new method for solving minimization problems on the Stiefel Manifold using damped dynamical systems. The constraints are satisfied in the limit by an additional damped…

cond-mat.stat-mech2025★ 6 cited

Intrinsic Attractive and Repulsive Interactions: From Classical to Quantum Gases in the Generalized Maxwell-Boltzmann Distribution

Maryam Seifi, Zahra Ebadi, Hamzeh Agahi +2

The thermodynamic parameter space is flat for an ideal classical gas with non-interacting particles. In contrast, for an ideal quantum Bose (Fermi) gas, the thermodynamic curvature…

cs.CV2025

Contrastive Forward-Forward: A Training Algorithm of Vision Transformer

Hossein Aghagolzadeh, Mehdi Ezoji

Although backpropagation is widely accepted as a training algorithm for artificial neural networks, researchers are always looking for inspiration from the brain to find ways with…