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Cluster Variation Method as a Powerful Tool for Theoretical and Computational Materials Science

Materia Japan, 2022/05/01, Vol.61(5), pp.265-274

Mohri, Tetsuo

2022

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材料数理学としてのクラスター変分法

まてりあ, 2022/05/01, Vol.61(5), pp.265-274

毛利, 哲夫

2022

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Configurational kinetics studied by Path Probability Method

Progress in materials science, 2021-07, Vol.120, p.100765, Article 100765

2021

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Continuous Displacement Cluster Variation Method for the Study of Local Lattice Distortion in an Alloy

Journal of phase equilibria and diffusion, 2024-02

Mohri, Tetsuo

2024

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On the complexity of solid-state diffusion in highly concentrated alloys and the sluggish diffusion core-effect

Calphad, 2020-03, Vol.68, p.101713, Article 101713

2020

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Modelling of a displacive transformation in two-dimensional system within four-body approximation of Continuous Displacement Cluster Variation Method

Philosophical magazine (Abingdon, England), 2018-04, Vol.98 (11), p.1005-1017

2018

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A Cluster-Based Computational Thermodynamics Framework with Intrinsic Chemical Short-Range Order: Part I. Configurational Contribution

Acta materialia, 2024-06, p.120138, Article 120138

2024

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First-principles calculation of microstructural processes in alloys

Computational materials science, 2010-10, Vol.49 (4), p.S181-S186

Mohri, Tetsuo

2010

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Modelling of a displacive transformation in two-dimensional system within a single-site approximation of continuous displacement cluster variation method

Philosophical magazine (Abingdon, England), 2013-06, Vol.93 (18), p.2316-2328

2013

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Probing the entropy hypothesis in highly concentrated alloys

Acta materialia, 2018-04, Vol.148, p.263-279

2018

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On short-range order strengthening and its role in high-entropy alloys

Scripta materialia, 2021-04, Vol.196, p.113754, Article 113754

Schön, Cláudio Geraldo

2021

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Magnetocaloric effect in the Jx−Jy Blume–Capel model

Physica A, 2023-08, Vol.623, Article 128892

Guerrero, Alejandra I.

2023

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The Blume–Capel model in a square lattice with Jx=−Jy interactions in an external field

Physica A, 2019-10, Vol.532, Article 121839

2019

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Optimal control as a graphical model inference problem

Machine learning, 2012-05, Vol.87 (2), p.159-182

2012

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Stable, metastable and unstable states of the mixed spin (1, 3/2) Ising model in the absence and presence of constant magnetic fields

Journal of magnetism and magnetic materials, 2022-11, Vol.562, p.169841, Article 169841

2022

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Cluster variation method for investigation of multi-principal-element metallic alloys

Journal of alloys and compounds, 2023-08, Vol.952, p.170067, Article 170067

Besson, Rémy

2023

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Polynomial functions for configurational correlation functions in Gibbs energies of solid solutions using cluster variation method

Computational materials science, 2021-01, Vol.186, p.109746, Article 109746

2021

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Dynamic magnetic properties of the mixed spin (1/2, 3/2) Ising system in the presence of magnetic field within the path probability method

Physica A, 2020-12, Vol.559, p.125013, Article 125013

2020

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Constructing free-energy approximations and generalized belief propagation algorithms

IEEE transactions on information theory, 2005-07, Vol.51 (7), p.2282-2312

2005

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Atomistic relaxation process in a Ni3Al ordered phase using path probability method with vacancy mechanisms

Computational materials science, 2019-09, Vol.167, p.118-122

2019

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A data-driven approach to approximate the correlation functions in cluster variation method

Modelling and simulation in materials science and engineering, 2022-01, Vol.30 (1), p.15001

2022

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Application of Continuous Displacement Cluster Variation Method to Study Phase Equilibria

Materials science forum, 2010-01, Vol.654-656, p.1496-1499

Mohri, Tetsuo

2010

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First-principles calculations and thermodynamic assessment of the Nb–V system using CE-CVM

Calphad, 2022-09, Vol.78, p.102439, Article 102439

2022

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FIRST-PRINCIPLES-ONLY PHASE DIAGRAM FOR THE AL-NI SYSTEM

Calphad, 2021-06, Vol.73, p.17

2021

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The 2-D Cluster Variation Method: Topography Illustrations and Their Enthalpy Parameter Correlations

Entropy (Basel, Switzerland), 2021-03, Vol.23 (3), p.319

Maren, Alianna J

2021

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Cluster Variation Method as a Powerful Tool for Theoretical and Computational Materials Science

材料数理学としてのクラスター変分法

Configurational kinetics studied by Path Probability Method

Continuous Displacement Cluster Variation Method for the Study of Local Lattice Distortion in an Alloy

On the complexity of solid-state diffusion in highly concentrated alloys and the sluggish diffusion core-effect

Modelling of a displacive transformation in two-dimensional system within four-body approximation of Continuous Displacement Cluster Variation Method

A Cluster-Based Computational Thermodynamics Framework with Intrinsic Chemical Short-Range Order: Part I. Configurational Contribution

First-principles calculation of microstructural processes in alloys

Modelling of a displacive transformation in two-dimensional system within a single-site approximation of continuous displacement cluster variation method

Probing the entropy hypothesis in highly concentrated alloys

On short-range order strengthening and its role in high-entropy alloys

Magnetocaloric effect in the Jx−Jy Blume–Capel model

The Blume–Capel model in a square lattice with Jx=−Jy interactions in an external field

Optimal control as a graphical model inference problem

Stable, metastable and unstable states of the mixed spin (1, 3/2) Ising model in the absence and presence of constant magnetic fields

Cluster variation method for investigation of multi-principal-element metallic alloys

Polynomial functions for configurational correlation functions in Gibbs energies of solid solutions using cluster variation method

Dynamic magnetic properties of the mixed spin (1/2, 3/2) Ising system in the presence of magnetic field within the path probability method

Constructing free-energy approximations and generalized belief propagation algorithms

Atomistic relaxation process in a Ni3Al ordered phase using path probability method with vacancy mechanisms

A data-driven approach to approximate the correlation functions in cluster variation method

Application of Continuous Displacement Cluster Variation Method to Study Phase Equilibria

First-principles calculations and thermodynamic assessment of the Nb–V system using CE-CVM

FIRST-PRINCIPLES-ONLY PHASE DIAGRAM FOR THE AL-NI SYSTEM

The 2-D Cluster Variation Method: Topography Illustrations and Their Enthalpy Parameter Correlations

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