activity
20152026
most cited and form factors and from 2+1-flavor lattice QCD with domain-wall light quarks and relativistic heavy quarks

145 citations · 263 across the 17 of their papers we have counts for

collaborators
Showing 2025Show all

6 papers · 1 filter

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.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…

cond-mat.str-el2025★ 1 cited

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

Experimental Exchange Interaction Dataset for Magnetic Materials: Spin Waves to MC Simulations

Mojtaba Alaei, Zahra Mosleh, Nafise Rezaei +1

Inelastic neutron scattering (INS) provides direct insights into microscopic magnetic interactions in crystalline materials, making it a valuable experimental technique in condense…

cond-mat.mtrl-sci2025★ 10 cited

Evaluating SCAN and rSCAN meta-GGA functionals for predicting transition temperatures in antiferromagnetic materials

Nafise Rezaei, Mojtaba Alaei, Artem R. Oganov

Recent advancements in exchange-correlation functionals within density functional theory highlight the need for rigorous validation across diverse types of materials properties. In…