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Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach

Scientific reports, 2020-12, Vol.10 (1), p.21790-21790, Article 21790

2020

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Rational partitioning of spectral feature space for effective clustering of massive spectral image data

Scientific reports, 2024-09, Vol.14 (1), p.22549-11, Article 22549

2024

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Formulation of energy loss due to magnetostriction to design ultraefficient soft magnets

NPG Asia materials, 2024-03, Vol.16 (1), p.19-12, Article 19

2024

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Role of magnetostriction on power losses in nanocrystalline soft magnets

NPG Asia materials, 2022-05, Vol.14 (1), p.44, Article 44

2022

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Automated stopping criterion for spectral measurements with active learning

npj computational materials, 2021-08, Vol.7 (1), p.1-9, Article 139

2021

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Quantitative evaluation of site preference in Dy-substituted Nd2Fe14B

Journal of alloys and compounds, 2017-10, Vol.721, p.476-481

2017

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Relationship between magnetic nucleation and the microstructure of a hot-deformed permanent magnet: micromagnetic simulation

NPG Asia materials, 2020-04, Vol.12 (1), Article 29

2020

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Accelerating small-angle scattering experiments on anisotropic samples using kernel density estimation

Scientific reports, 2019-02, Vol.9 (1), p.1526-1526, Article 1526

2019

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Automated estimation of materials parameter from X-ray absorption and electron energy-loss spectra with similarity measures

npj computational materials, 2019-03, Vol.5 (1), Article 39

2019

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Atomic ordering, magnetic properties, and electronic structure of Mn2CoGa Heusler alloy

Journal of physics. Condensed matter, 2019-02, Vol.31 (6), p.065801-065801

2019

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Self-supervised learning of materials concepts from crystal structures via deep neural networks

Machine learning: science and technology, 2022-12, Vol.3 (4), p.45034

2022

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Maze energetics revealed by a large-scale two-dimensional Ginzburg-Landau type simulation

Journal of applied physics, 2014-05, Vol.115 (17)

2014

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Automated crystal structure analysis based on blackbox optimisation

npj computational materials, 2020-06, Vol.6 (1), Article 75

2020

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Implementation of low communication frequency 3D FFT algorithm for ultra-large-scale micromagnetics simulation

Computer physics communications, 2016-10, Vol.207, p.217-220

2016

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Persisting structures in almost saturated magnetic states and their implication for coercivity in a grain system revealed by a large-scale two-dimensional Ginzburg-Landau type simulation

Journal of applied physics, 2015-05, Vol.117 (17)

2015

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ARTS: autonomous research topic selection system using word embeddings and network analysis

Machine learning: science and technology, 2022-06, Vol.3 (2), p.25005

2022

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Effect of grain boundary phase on the magnetization reversal process of nanocrystalline magnet using large-scale micromagnetic simulation

AIP advances, 2018-05, Vol.8 (5), p.056226-056226-5

2018

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Neural structure fields with application to crystal structure autoencoders

Communications materials, 2023-12, Vol.4 (1), p.106-12, Article 106

2023

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Role of Grain Boundaries in the Coercivity of Magnetic Thin Films Investigated by a Two-Dimensional Ginzburg–Landau-Type Model

Journal of the Physical Society of Japan, 2016-07, Vol.85 (7), p.74711

2016

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Micromagnetic simulation for the magnetization reversal process of Nd-Fe-B hot-deformed nanocrystalline permanent magnets

AIP advances, 2017-05, Vol.7 (5), p.056234-056234-4

2017

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Orbital Reconstruction and Interface Ferromagnetism in Self-Assembled Nanosheet Superlattices

ACS nano, 2011-09, Vol.5 (9), p.6871-6879

2011

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Large-Scale Micromagnetics Simulation of Magnetization Dynamics in a Permanent Magnet during the Initial Magnetization Process

Physical review applied, 2019-01, Vol.11 (1), Article 014010

2019

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Enhancement of Perpendicular Exchange Bias by Introducing Twin Boundary in Pt/Co/α-Cr2O3/α-V2O3 Epitaxial Film

Materials transactions, 2019-09, Vol.60 (9), p.2028-2032

2019

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Magnetization reversal processes of isotropic permanent magnets with various inter-grain exchange interactions

AIP advances, 2017-05, Vol.7 (5), p.056224-056224-4

2017

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Application of Machine Learning Methods to Neutron Transmission Spectroscopic Imaging for Solid–Liquid Phase Fraction Analysis

Applied sciences, 2021-07, Vol.11 (13), p.5988

2021

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Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach

Rational partitioning of spectral feature space for effective clustering of massive spectral image data

Formulation of energy loss due to magnetostriction to design ultraefficient soft magnets

Role of magnetostriction on power losses in nanocrystalline soft magnets

Automated stopping criterion for spectral measurements with active learning

Quantitative evaluation of site preference in Dy-substituted Nd2Fe14B

Relationship between magnetic nucleation and the microstructure of a hot-deformed permanent magnet: micromagnetic simulation

Accelerating small-angle scattering experiments on anisotropic samples using kernel density estimation

Automated estimation of materials parameter from X-ray absorption and electron energy-loss spectra with similarity measures

Atomic ordering, magnetic properties, and electronic structure of Mn2CoGa Heusler alloy

Self-supervised learning of materials concepts from crystal structures via deep neural networks

Maze energetics revealed by a large-scale two-dimensional Ginzburg-Landau type simulation

Automated crystal structure analysis based on blackbox optimisation

Implementation of low communication frequency 3D FFT algorithm for ultra-large-scale micromagnetics simulation

Persisting structures in almost saturated magnetic states and their implication for coercivity in a grain system revealed by a large-scale two-dimensional Ginzburg-Landau type simulation

ARTS: autonomous research topic selection system using word embeddings and network analysis

Effect of grain boundary phase on the magnetization reversal process of nanocrystalline magnet using large-scale micromagnetic simulation

Neural structure fields with application to crystal structure autoencoders

Role of Grain Boundaries in the Coercivity of Magnetic Thin Films Investigated by a Two-Dimensional Ginzburg–Landau-Type Model

Micromagnetic simulation for the magnetization reversal process of Nd-Fe-B hot-deformed nanocrystalline permanent magnets

Orbital Reconstruction and Interface Ferromagnetism in Self-Assembled Nanosheet Superlattices

Large-Scale Micromagnetics Simulation of Magnetization Dynamics in a Permanent Magnet during the Initial Magnetization Process

Enhancement of Perpendicular Exchange Bias by Introducing Twin Boundary in Pt/Co/α-Cr2O3/α-V2O3 Epitaxial Film

Magnetization reversal processes of isotropic permanent magnets with various inter-grain exchange interactions

Application of Machine Learning Methods to Neutron Transmission Spectroscopic Imaging for Solid–Liquid Phase Fraction Analysis

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