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Yamanaka, Akinori
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1

Superstrength permanent magnets with iron-based superconduc..:

Yamamoto, Akiyasu ; Tokuta, Shinnosuke ; Ishii, Akimitsu...
NPG Asia Materials.  16 (2024)  1 - p. , 2024
Link: https://doi.org/10.1038/..
 
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2

Preface to the Special Issue on "Martensitic and Bainitic T..:

Miyamoto, Goro ; Nakada, Nobuo ; Sugiura, Natsuko...
ISIJ International.  64 (2024)  2 - p. 175-175 , 2024
Link: https://doi.org/10.2355/..
 
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3

Data assimilation to determine the electrohydrodynamic forc..:

Kaneko, Yutaka ; Yamanaka, Akinori ; Nishida, Hiroyuki
Sensors and Actuators A: Physical.  372 (2024)  - p. 115320 , 2024
Link: https://doi.org/10.1016/..
 
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4

Data assimilation for phase-field simulations of the format..:

Seguchi, Yusuke ; Okugawa, Masayuki ; Zhu, Chuanqi..
Computational Materials Science.  237 (2024)  - p. 112910 , 2024
Link: https://doi.org/10.1016/..
 
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5

High-fidelity phase-field simulation of solid-state sinteri..:

Ishii, Akimitsu ; Yamanaka, Akinori ; Yoshinaga, Mizumo...
Acta Materialia.  278 (2024)  - p. 120251 , 2024
Link: https://doi.org/10.1016/..
 
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6

Big-Volume SliceGAN for Improving a Synthetic 3D Microstruc..:

Sugiura, Keiya ; Ogawa, Toshio ; Adachi, Yoshitaka...
Journal of Imaging.  9 (2023)  5 - p. 90 , 2023
Link: https://doi.org/10.3390/..
 
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7

Inverse characterization of a material model using an ensem..:

Sueki, Sae ; Ishii, Akimitsu ; Coppieters, Sam.
International Journal of Solids and Structures.  279 (2023)  - p. 112350 , 2023
Link: https://doi.org/10.1016/..
 
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8

DMC-TPE: tree-structured Parzen estimator-based efficient d..:

Ishii, Akimitsu ; Yamamoto, Akiyasu ; Yamanaka, Akinori
Science and Technology of Advanced Materials: Methods.  3 (2023)  1 - p. , 2023
Link: https://doi.org/10.1080/..
 
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9

Phase-field Modeling and Simulation of Solid-state Phase Tr..:

Yamanaka, Akinori
ISIJ International.  63 (2023)  3 - p. 395-406 , 2023
Link: https://doi.org/10.2355/..
 
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10

Phase-field modeling of solid-state sintering with interfac..:

Ishii, Akimitsu ; Kondo, Kyoyu ; Yamamoto, Akiyasu.
Materials Today Communications.  35 (2023)  - p. 106061 , 2023
Link: https://doi.org/10.1016/..
 
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11

Application of Bayesian optimization to the synthesis proce..:

Ishii, Akimitsu ; Kikuchi, Shinjiro ; Yamanaka, Akinori.
Journal of Alloys and Compounds.  966 (2023)  - p. 171613 , 2023
Link: https://doi.org/10.1016/..
 
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12

Bayesian texture optimization using deep neural network-bas..:

Kamijyo, Ryunosuke ; Ishii, Akimitsu ; Coppieters, Sam.
International Journal of Mechanical Sciences.  223 (2022)  - p. 107285 , 2022
Link: https://doi.org/10.1016/..
 
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13

Three-dimensional microstructure and critical current prope..:

Shimada, Yusuke ; Tokuta, Shinnosuke ; Yamanaka, Akinori..
Journal of Alloys and Compounds.  923 (2022)  - p. 166358 , 2022
Link: https://doi.org/10.1016/..
 
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14

Validating a mean-field theory via large-scale phase-field ..:

Miyoshi, Eisuke ; Ohno, Munekazu ; Shibuta, Yasushi..
Journal of Materials Science.  , 2022
Link: https://doi.org/10.1007/..
 
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15

Efficient estimation of material parameters using DMC-BO: A..:

Ishii, Akimitsu ; Yamanaka, Akinori ; Miyoshi, Eisuke.
Materials Today Communications.  30 (2022)  - p. 103089 , 2022
Link: https://doi.org/10.1016/..
 
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