| Estimation of solid-state sintering and material parameters using phase-field modeling and ensemble four-dimensional variational method A Ishii, A Yamanaka, E Miyoshi, Y Okada, A Yamamoto Modelling and Simulation in Materials Science and Engineering 29 (6), 065012, 2021 | 17 | 2021 |
| Bayesian texture optimization using deep neural network-based numerical material test R Kamijyo, A Ishii, S Coppieters, A Yamanaka International Journal of Mechanical Sciences 223, 107285, 2022 | 16 | 2022 |
| Multi-phase-field modelling of electromigration-induced void migration in interconnect lines having bamboo structures A Ishii, A Yamanaka Computational Materials Science 184, 109848, 2020 | 11 | 2020 |
| Efficient estimation of material parameters using DMC-BO: Application to phase-field simulation of solid-state sintering A Ishii, A Yamanaka, E Miyoshi, A Yamamoto Materials Today Communications 30, 103089, 2022 | 9 | 2022 |
| BOXVIA: Bayesian optimization executable and visualizable application A Ishii, R Kamijyo, A Yamanaka, A Yamamoto SoftwareX 18, 101019, 2022 | 6 | 2022 |
| Detection of small coating defects on automobile body by traveling illumination A Ishii, S Hata, N Chiba, M Ono OCAV’99: 5th International Conference on Quality Control by Artificial …, 1999 | 5 | 1999 |
| Application of Bayesian optimization to the synthesis process of BaFe2 (As, P) 2 polycrystalline bulk superconducting materials A Ishii, S Kikuchi, A Yamanaka, A Yamamoto Journal of Alloys and Compounds 966, 171613, 2023 | 3 | 2023 |
| Inverse characterization of a material model using an ensemble-based four-dimensional variational method S Sueki, A Ishii, S Coppieters, A Yamanaka International Journal of Solids and Structures 279, 112350, 2023 | 3 | 2023 |
| DMC-TPE: Tree-structured Parzen estimator-based efficient data assimilation method for phase-field simulation of solid-state sintering A Ishii, A Yamamoto, A Yamanaka Science and Technology of Advanced Materials: Methods 3 (1), 2239133, 2023 | 3 | 2023 |
| Phase-field modeling of solid-state sintering with interfacial anisotropy A Ishii, K Kondo, A Yamamoto, A Yamanaka Materials Today Communications 35, 106061, 2023 | 3 | 2023 |
| Superstrength permanent magnets with iron-based superconductors by data-and researcher-driven process design A Yamamoto, S Tokuta, A Ishii, A Yamanaka, Y Shimada, MD Ainslie NPG Asia Materials 16 (1), 29, 2024 | 1 | 2024 |
| Inverse Estimation of Material Model Parameters Using Digital Image Correlation and Ensemble-based Four-dimensional Variational Methods S Sueki, A Ishii, A Yamanaka MATERIALS TRANSACTIONS, MT-P2024002, 2024 | 1 | 2024 |
| High-Fidelity Phase-Field Simulation of Solid-State Sintering Enabled by Bayesian Data Assimilation Using In Situ Electron Tomography Data A Ishii, A Yamanaka, M Yoshinaga, S Sato, M Ikeuchi, H Saito, S Hata, ... Acta Materialia, 120251, 2024 | | 2024 |
| Engineering the World’s Strongest Iron-based Bulk Superconducting Magnet using AI (Highlights) A Yamamoto, S Tokuta, A Ishii, A Yamanaka, Y Shimada, MD Ainslie | | |
| Finite Element-Based Inverse Estimation of Anisotropy Parameters Using Bayesian Non-Sequential Data Assimilation and Full-Field Data from Hole Expansion Test K Sasaki, M Suda, A Ishii, S Coppieters, A Yamanaka Available at SSRN 4770081, 0 | | |
Akinori YamanakaTokyo University of Agriculture and Technology, ProfessorVerified email at cc.tuat.ac.jp
