2.2k citations
- Institute for Research in Fundamental SciencesIR122 papers
- Sharif University of TechnologyIR41 papers
- University of BonnDE35 papers
- Alzahra UniversityIR34 papers
- University of ZanjanIR34 papers
- Centre National de la Recherche ScientifiqueFR30 papers
- University of TehranIR27 papers
- University of GothenburgSE24 papers
- Charles UniversityCZ22 papers
- Max Planck Institute for the Physics of Complex SystemsDE18 papers
- University of OttawaCA17 papers
- Beijing Computational Science Research CenterCN16 papers
727 papers
Coordinate transformations and matter waves cloaking
Reza G. Mohammadi, Ali G. Moghaddam, Ramin Mohammadkhani
Transformation method provides an efficient tool to control wave propagation inside the materials. Using the coordinate transformation approach, we study invisibility cloaks with s…
Predicting the final states of binary-single scattering with machine learning
Ahmad Farhani Asl, David Fonseca Mota, Dennis Fremstad +1
Context. Binary-single encounters are particularly frequent in dense stellar environments, where they play a central role in shaping the dynamical evolution of their host systems.…
Topological states of generalized dissipative Majorana wires
Farokhnaz Hosseinifar, Ali G. Moghaddam
We study the generalized one-dimensional (1D) quantum dissipative models corresponding to a Majorana wire which can possess more than one Majorana bound state at each end. The syst…
CatBoost versus Spectral Energy Distribution-Fitting: Estimating Galaxy Properties under Controlled Photometric Incompleteness
Vahid Asadi, Hosein Haghi, Akram Hasani Zonoozi
Estimating galaxy physical parameters from photometric data is fundamentally challenged by missing measurements that are endemic to astronomical surveys. Using a mock catalog from…
Machine learning prediction of binary formation in three-body gravitational encounters
Ahmad Farhani Asl
Three-body encounters are frequent events in stellar systems, intrinsically chaotic, and computationally costly to model with direct N-body integration. Predicting whether such enc…
COSMOS2025: A Machine Learning Census of Massive Quiescent Galaxies at
Vahid Asadi, Hosein Haghi, Akram Hasani Zonoozi
The existence of massive quiescent galaxies at high redshifts () strongly constrains the rapid quenching mechanisms in galaxy evolution models. We present a ma…