Image de couverture de livre

High-throughput computation and machine learning modeling of magnetic moments and Mössbauer parameters for Fe-based intermetallics

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhao, Bo, Zhang, Hongbin
Format:	Preprint
Publié:	2025
Sujets:	Materials Science
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Data-efficient machine-learning of complex Fe-Mo intermetallics using domain knowledge of chemistry and crystallography
par: Forti, Mariano, et autres
Publié: (2025)

Origin of the yield stress anomaly in L12 intermetallics unveiled with physically-informed machine-learning potentials
par: Xu, Xiang, et autres
Publié: (2024)

A continuum, computational study of morphogenesis in lithium intermetallic interfaces
par: Shojaei, Mostafa Faghih, et autres
Publié: (2024)

Optimizing $α''$-Fe$_{16}$N$_2$ as permanent magnet via alloying
par: Zhao, Bo, et autres
Publié: (2025)

Accelerated discovery and design of Fe-Co-Zr magnets with tunable magnetic anisotropy through machine learning and parallel computing
par: Xia, Weiyi, et autres
Publié: (2025)

Advancing Magnetic Materials Discovery -- A structure-based machine learning approach for magnetic ordering and magnetic moment prediction
par: Verma, Apoorv, et autres
Publié: (2025)

High-throughput screening of spin Hall conductivity in 2D materials
par: Li, Fu, et autres
Publié: (2025)

Interplay of structure, magnetism, and magneto-thermal effects in Gadolinium-based intermetallic compound
par: Kumar, Ravinder, et autres
Publié: (2024)

Orbital magnetization in two-dimensional materials from high-throughput computational screening
par: Ovesen, Martin, et autres
Publié: (2024)

Cartesian atomic moment machine learning interatomic potentials
par: Wen, Mingjian, et autres
Publié: (2024)

X-ray magnetic circular dichroism of altermagnet $α$-Fe$_2$O$_3$ based on multiplet ligand-field theory using Wannier orbitals
par: Xie, Ruiwen, et autres
Publié: (2025)

A chemical bond-based machine learning model for dipole moment: Application to dielectric properties of liquid methanol and ethanol
par: Amano, Tomohito, et autres
Publié: (2024)

A matter of performance & criticality: a review of rare-earth-based magnetocaloric intermetallic compounds for hydrogen liquefaction
par: Liu, Wei, et autres
Publié: (2024)

High pressure synthesis and structural study of AuGa2 intermetallic compound
par: Ahmad, Azkar Saeed, et autres
Publié: (2025)

New tool for extraction of $^{187}$Os Mössbauer parameters with biologically relevant detection sensitivity
par: Stepanenko, Iryna, et autres
Publié: (2024)

High-throughput computation of electric polarization in solids via Berry flux diagonalization
par: Poteshman, Abigail N., et autres
Publié: (2025)

Interpretable machine learning-guided design of Fe-based soft magnetic alloys
par: Nachnani, Aditi, et autres
Publié: (2025)

High-throughput computational screening of Heusler compounds with phonon considerations for enhanced material discovery
par: Xiao, Enda, et autres
Publié: (2025)

Hydrogen absorption in intermetallic compounds from first principles
par: Nadeau, Olivier, et autres
Publié: (2025)

Magnetic and Mossbauer studies of Ca$_x$Zn$_{1-x}$Fe$_2$O$_4$ nanoferrites
par: Adewale, Kemi Y., et autres
Publié: (2025)

Rust-accelerated powder X-ray diffraction simulation for high-throughput and machine-learning-driven materials science
par: Lebeda, Miroslav, et autres
Publié: (2026)

Accelerated intermetallic phase amorphization in a Mg-based high-entropy alloy powder
par: Sharma, Prince, et autres
Publié: (2024)

High-throughput magnetic co-doping and design of exchange interactions in a topological insulator
par: Mozumder, Rubel, et autres
Publié: (2024)

A versatile machine learning workflow for high-throughput analysis of supported metal catalyst particles
par: Genc, Arda, et autres
Publié: (2024)

Hierarchical high-throughput screening of alkaline-stable lithium-ion conductors combining machine learning and first-principles calculations
par: Li, Zhuohan, et autres
Publié: (2025)

Coercivity influence of nanostructure in SmCo-1:7 magnets: Machine learning of high-throughput micromagnetic data
par: Yang, Yangyiwei, et autres
Publié: (2024)

Microscale deformation of intermetallic-Mg interface under shear loading
par: Kanjilal, Anwesha, et autres
Publié: (2024)

Elucidating proximity magnetism through polarized neutron reflectometry and machine learning
par: Andrejevic, Nina, et autres
Publié: (2021)

Optimization of noncollinear magnetic ordering temperature in Y-type hexaferrite by machine learning
par: Li, Yonghong, et autres
Publié: (2024)

Anomalous phonon magnetic moments
par: Chaudhary, Swati, et autres
Publié: (2025)

High-throughput screening for boride superconductors
par: Chen, Shiya, et autres
Publié: (2024)

Constraints on magnetism and correlations in RuO$_2$ from lattice dynamics and Mössbauer spectroscopy
par: Yumnam, George, et autres
Publié: (2025)

Efficient moment tensor machine-learning interatomic potential for accurate description of defects in Ni-Al Alloys
par: Wang, Jiantao, et autres
Publié: (2024)

New magnetic topological materials from high-throughput search
par: Robredo, Iñigo, et autres
Publié: (2024)

Stochastic 3D microstructure modeling of twinned polycrystals for investigating the mechanical behavior of $γ$-TiAl intermetallics
par: Rieder, Philipp, et autres
Publié: (2024)

Ultrafast magnetic moment transfer and bandgap renormalization in monolayer FeCl$_2$
par: Song, Yu-Hui, et autres
Publié: (2025)

On-the-fly training of polynomial machine learning potentials in computing lattice thermal conductivity
par: Togo, Atsushi, et autres
Publié: (2024)

Effect of alloying additions on the lattice ordering of Ti$_2$AlNb intermetallic
par: Chirumamilla, Adilakshmi, et autres
Publié: (2025)

Charting new regions of Cobalt's chemical space with maximally large magnetic anisotropy: A computational high-throughput study
par: Mariano, Lorenzo A., et autres
Publié: (2024)

Origin of the tetragonal-to-hexagonal phase transitions in Fe-doped BaTiO$_3$
par: Li, Zhiyuan, et autres
Publié: (2026)