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20092026
most citedBoron: a Hunt for Superhard Polymorphs

159 citations · 349 across the 12 of their papers we have counts for

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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 momentu…

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.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.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

Acceleration of crystal structure relaxation with Deep Reinforcement Learning

Elena Trukhan, Efim Mazhnik, Artem R. Oganov

We introduce a Deep Reinforcement Learning (DRL) model for the structure relaxation of crystal materials and compare different types of neural network architectures and reinforceme…

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…

cond-mat.mtrl-sci2024★ 12 cited

Origin of -type antiferromagnetism and chiral split magnons in altermagnetic -MnTe

Mojtaba Alaei, Pawel Sobieszczyk, Andrzej Ptok +3

The origin of the -type antiferromagnetic ordering, characterized by ferromagnetic layers coupling antiferromagnetically, in the prototype semiconductor altermagnet -MnTe has…

cond-mat.mtrl-sci2024★ 3 cited

Optimizing Supercell Structures for Heisenberg Exchange Interaction Calculations

Mojtaba Alaei, Artem R. Oganov

In this paper, we introduce an efficient, linear algebra-based method for optimizing supercell selection to determine Heisenberg exchange parameters from DFT calculations. A widely…

cond-mat.mtrl-sci2021

Crystal structure prediction at finite temperatures

Ivan A. Kruglov, Alexey V. Yanilkin, Yana Propad +1

Crystal structure prediction is a central problem of theoretical crystallography and materials science, which until mid-2000s was considered intractable. Several methods, based on…

cond-mat.mtrl-sci2014★ 31 cited

Prediction of a Stable Post-Post-Perovskite Structure from First Principles

Changsong Xu, Bin Xu, Yurong Yang +6

A novel stable crystallographic structure is discovered in a variety of ABO3, ABF3 and A2O3 compounds (including materials of geological relevance, prototypes of multiferroics, exh…

cond-mat.mtrl-sci2011★ 133 cited

On the Hardness of a New Boron Phase, Orthorhombic γ-B28

V. L. Solozhenko, O. O. Kurakevych, A. R. Oganov

Measurements of the hardness of a new high-pressure boron phase, orthorhombic γ-B28, are reported. According to the data obtained, γ-B28 has the highest hardness (~50 GPa) of all k…

cond-mat.mtrl-sci2009★ 159 cited

Boron: a Hunt for Superhard Polymorphs

A. R. Oganov, V. L. Solozhenko

Boron is a unique element, being the only element, all known polymorphs of which are superhard, and all of its crystal structures are distinct from any other element. The electron-…