Akinori Yamanaka

About Akinori Yamanaka

Akinori Yamanaka, With an exceptional h-index of 23 and a recent h-index of 18 (since 2020), a distinguished researcher at Tokyo University of Agriculture and Technology, specializes in the field of Computational Materials Science, Data assimilation, Phase-field method.

His recent articles reflect a diverse array of research interests and contributions to the field:

Data assimilation for phase-field simulations of the formation of eutectic alloy microstructures

Data assimilation to determine the electrohydrodynamic force of plasma actuator

Phase-field modeling and simulation of solid-state phase transformations in steels

Big-volume SliceGAN for improving a synthetic 3D microstructure image of additive-manufactured TYPE 316L steel

Application of Bayesian Optimization to the Synthesis Process of BaFe2(As,P)2 Polycrystalline Bulk Superconducting Materials

Inverse identification of plastic anisotropy through multiple non-conventional mechanical experiments

Inverse characterization of a material model using an ensemble-based four-dimensional variational method

DMC-TPE: Tree-Structured Parzen Estimator-Based Efficient Data Assimilation Method for Phase-Field Simulation of Solid-State Sintering

Akinori Yamanaka Information

University

Position

Professor

Citations(all)

2127

Citations(since 2020)

1089

Cited By

1430

hIndex(all)

23

hIndex(since 2020)

18

i10Index(all)

40

i10Index(since 2020)

28

Email

University Profile Page

Google Scholar

Akinori Yamanaka Skills & Research Interests

Computational Materials Science

Data assimilation

Phase-field method

Top articles of Akinori Yamanaka

Title

Journal

Author(s)

Publication Date

Data assimilation for phase-field simulations of the formation of eutectic alloy microstructures

Computational Materials Science

Yusuke Seguchi

Masayuki Okugawa

Chuanqi Zhu

Akinori Yamanaka

Yuichiro Koziumi

2024/3/25

Data assimilation to determine the electrohydrodynamic force of plasma actuator

Sensors and Actuators A: Physical

Yutaka Kaneko

Akinori Yamanaka

Hiroyuki Nishida

2024/7/1

Phase-field modeling and simulation of solid-state phase transformations in steels

ISIJ International

Akinori Yamanaka

2023/3/15

Big-volume SliceGAN for improving a synthetic 3D microstructure image of additive-manufactured TYPE 316L steel

Journal of Imaging

Keiya Sugiura

Toshio Ogawa

Yoshitaka Adachi

Fei Sun

Asuka Suzuki

...

2023/4/29

Application of Bayesian Optimization to the Synthesis Process of BaFe2(As,P)2 Polycrystalline Bulk Superconducting Materials

Journal of Alloys and Compounds

Akimitsu Ishii

Shinjiro Kikuchi

Akinori Yamanaka

Akiyasu Yamamoto

2023

Inverse identification of plastic anisotropy through multiple non-conventional mechanical experiments

International Journal of Solids and Structures

Y Zhang

A Yamanaka

S Cooreman

T Kuwabara

S Coppieters

2023/12/15

Inverse characterization of a material model using an ensemble-based four-dimensional variational method

International Journal of Solids and Structures

Sae Sueki

Akimitsu Ishii

Sam Coppieters

Akinori Yamanaka

2023/9/1

DMC-TPE: Tree-Structured Parzen Estimator-Based Efficient Data Assimilation Method for Phase-Field Simulation of Solid-State Sintering

Science and Technology of Advanced Materials: Methods

Akimitsu Ishii

Akiyasu Yamamoto

Akinori Yamanaka

2023

Phase-field modeling of solid-state sintering with interfacial anisotropy

Materials Today Communications

Akimitsu Ishii

Kyoyu Kondo

Akiyasu Yamamoto

Akinori Yamanaka

2023/4/24

Multi-phase-field simulation of non-equilibrium solidification in 316L sutainless steel under rapid cooling condition

Materials Transactions

Masahito Segawa

Akinori Yamanaka

2023

Image features of a splashing drop on a solid surface extracted using a feedforward neural network

Physics of Fluids

Jingzu Yee

Akinori Yamanaka

Yoshiyuki Tagawa

2022/1/20

Three-dimensional microstructure and critical current properties of ultrafine grain Ba(Fe,Co)2As2 bulk superconductors

Journal of Alloys and Compounds

Y. Shimada

S. Tokuta

A. Yamanaka

A. Yamamoto

T. J. Konno

2022/11

Validating a mean-field theory via large-scale phase-field simulations for abnormal grain growth induced by nonuniform grain boundary properties

Journal of Materials Science

Eisuke Miyoshi

Munekazu Ohno

Yasushi Shibuta

Akinori Yamanaka

Tomohiro Takaki

2022/9

Bayesian texture optimization using deep neural network-based numerical material test

International Journal of Mechanical Sciences

Ryunosuke Kamijyo

Akimitsu Ishii

Sam Coppieters

Akinori Yamanaka

2022/6/1

BOXVIA: Bayesian optimization executable and visualizable application

SoftwareX

Akimitsu Ishii

Kamijyo Ryunosuke

Akinori Yamanaka

Akiyasu Yamamoto

2022/6

Efficient estimation of material parameters using DMC-BO: Application to phase-field simulation of solid-state sintering

Materials Today Communications

Akimitsu Ishii

Akinori Yamanaka

Eisuke Miyoshi

Akiyasu Yamamoto

2022/3/1

Novel estimation method for anisotropic grain boundary properties based on Bayesian data assimilation and phase-field simulation

Materials & Design

Eisuke Miyoshi

Munekazu Ohno

Yasushi Shibuta

Akinori Yamanaka

Tomohiro Takaki

2021/11/15

Estimation of solid-state sintering and material parameters using phase-field modeling and ensemble four-dimensional variational method

Modelling and Simulation in Materials Science and Engineering

Akimitsu Ishii

Akinori Yamanaka

Eisuke Miyoshi

Yuki Okada

Akiyasu Yamamoto

2021/7/27

Quantitative three-dimensional phase-field modeling of dendritic solidification coupled with local ensemble transform Kalman filter

Computational Materials Science

Kazuki Takahashi

Akinori Yamanaka

2021/4

Estimation of Texture-Dependent Stress-Strain Curve and r-Value of Aluminum Alloy Sheet Using Deep Learning

Materials Transactions

Kohta Koenuma

Akinori Yamanaka

Ikumu Watanabe

Toshihiko Kuwabara

2020/11

See List of Professors in Akinori Yamanaka University(Tokyo University of Agriculture and Technology)

Co-Authors

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