activity
20242026
collaborators

11 papers

cond-mat.mtrl-sci2026

Pressure-Tunable Electronic and Magnonic Transport in Altermagnet LaOMnSe

Nafise Rezaei, Alireza Qaiumzadeh, Artem R. Oganov +1

Hydrostatic pressure provides a symmetry-preserving route to engineer electronic and magnonic transport in the correlated insulating altermagnet LaOMnSe. Using firs…

cond-mat.mtrl-sci2026

Complex Magnetic Behavior in RuO Thin Films Driven by Strain and Substrate Effects

Mojtaba Alaei, Nafise Rezaei, Ilia Mikhailov +2

Ruthenium dioxide (RuO) has been proposed as a prototypical metallic -wave altermagnet, a Néel-ordered compensated antiferromagnetic state exhibiting nonrelativistic moment…

cond-mat.mtrl-sci2025

Benchmarking First-Principles Approaches for Extracting Magnetic Exchange Interactions

Nafise Rezaei, Artem R. Oganov, Ali Ghojavand +2

Magnetic exchange interactions govern the macroscopic magnetic behavior of solids and underpin both fundamental spin phenomena and emerging technologies. The accurate and efficient…

cond-mat.str-el2025

AI-Driven Discovery of High-Temperature Superconductors via Materials Genome Initiative and High-Throughput Screening

H. Gashmard, H. Shakeripour, M. Alaei

Inspired by nature, this study employs the Materials Genome Initiative to identify key components of HTSC superconductors. Integrating AI with high-throughput screening, we uncover…

cond-mat.str-el2025

1D Transition Metal Oxide Chains as a Challenging Model for Ab Initio Calculations

Jila Amini, Mojtaba Alaei, Stefano de Gironcoli

Providing highly simplified models of strongly correlated electronic systems that challenge {\it ab initio} calculations can serve as a valuable testing ground to improve these met…

cond-mat.mtrl-sci2025

Predicting the Curie Temperature of Magnetic Materials with Machine Learning: Descriptor Engineering, Graph Neural Networks, and the Role of Curated Data

Akram Abedi Orang, Mojtaba Alaei, Artem R. Oganov

Predicting the Curie temperature () of magnetic materials is crucial for advancing applications in data storage, spintronics, and sensors. We present a machine learni…