研究業績

業績リスト(2024年)

＜学術論文＞

  • Kenji Yoshimizu, Takahiro Sato, Takehiko Asai, Urara Watanabe, Shota Tsukamoto, Yudai Nemoto, Yoshihiro Taniyama, "An inerter-integrated wave energy converter for vibration mitigation of offshore floating buoys and its experimental validation," Ocean Engineering, vol. 303, no. 1, 2024, art. no 117789.
  • Takahiro Sato, Kota Watanabe, "A topology optimization of on-chip planar inductor based on evolutional on/off method and CMA-ES," COMPEL, 2024.(Early Access)
  • Takahiro Sato, Kota Watanabe, "A Data-Driven Automatic Design of Induction Motors Based on Tree Search and Reinforcement Learning Considering Multiple Objectives," IEEE Transactions on Magnetics, vol. 60, no. 3, 2024, art. no 8201204.
  • Zhen Sun, Hiroto Otsuki, Takahiro Sato, Kota Watanabe, "Topology Optimization of a Switched Reluctance Machine by Electromagnetic-Structural Multiphysics Finite Element Analysis," IEEE Transactions on Magnetics, vol. 60, no. 3, 2024, art. no 8100205.

＜国際学会プロシーディング＞

  • Takahiro Sato, Hidenori Sasaki, Yuki Sato, "A Fast Physics-informed Neural Network Based on Extreme Learning Machine for Solving Magnetostatic Problems," Jan., 2024, doi:10.1109/COMPUMAG56388.2023.10411799.

＜国際学会発表＞

  • Takahiro Sato, Kota Watanabe, Hajime Igarashi, "A Topology Optimization of Electromagnetic Devices Based on Kernel Ridge Regression as a Variant of Gaussian Network-Based Shape Representation," The 21st Biennial IEEE Conference on Electromagnetic Field Computation (IEEE CEFC 2024), MA_O3_04, June, 2024.
  • Yuki Sato, Hirokazu Matsumoto, Akito Maruo, Takahiro Sato, Hidenori Sasaki, "Fast Analysis and Design for 3D-Structured Magnetic Components Using Surrogate Model from Transfer Learning," The 21st Biennial IEEE Conference on Electromagnetic Field Computation (IEEE CEFC 2024), WM_O3_02, June, 2024.
  • Hidenori Sasaki, Kazuhisa Iwata, Takahiro Sato, Yuki Sato, "Motor Characteristics Map Prediction Using Deep Operator Neural Networks," The 21st Biennial IEEE Conference on Electromagnetic Field Computation (IEEE CEFC 2024), WA_O3_04, June, 2024.
  • Takahiro Sato, Kengo Sugahara, Yuki Hidaka, "An Optimization Method for Coil Design Problems Based on Physarum Polycephalum Algorithm and Evolutionary Computation," The 21st Biennial IEEE Conference on Electromagnetic Field Computation (IEEE CEFC 2024), TM_P_22, June, 2024.

＜国内学会発表＞

  • 佐藤孝洋, "強化学習を応用した回転機の自動設計法," 令和６年電気学会全国大会, S11-6, 2024.
  • 代田航大、佐藤孝洋、渡邊浩太、杉本麻梨子、新谷翔吾、鈴木信行, "既存の最適化結果を活用したIPMモータの自動設計法," 令和６年電気学会全国大会, 5-041, 2024.
  • 鈴木勇大、佐々木秀徳、佐藤孝洋、佐藤佑樹, "Physics Informed Neural Networksを用いた二次元静磁界推定に関する基礎検討," 令和６年電気学会全国大会, 3-085, 2024.
  • 小澤友希、田畑郁弥、佐藤孝洋, "確率共振波力発電機の設計と試験結果," 令和６年電気学会全国大会, 2-121, 2024.
  • 田畑郁弥、小澤友希、佐藤孝洋, "確率共振浮体式波力発電機におけるエネルギー構造と可動物体質量が発電特性に与える影響," 令和６年電気学会全国大会, 2-122, 2024.
  • 佐々木秀徳, 鈴木勇大, 佐藤孝洋, 佐藤佑樹, "Physics Informed Neural Networksと有限要素を用いた静磁界解析手法に関する基礎検討," 電気学会静止器回転機合同研究会, SA-24-009,RM-24-009, 2024.
  • 佐藤孝洋, 菅原賢悟, 日高勇気, "粘菌アルゴリズムと進化計算を併用したコイル最適化法に関する検討," 電気学会静止器回転機合同研究会, SA-24-012,RM-24-012, 2024.
  • 佐藤孝洋, 渡邊浩太, 五十嵐一, "パラメトリック関数としてガウス過程回帰を用いた電気機器トポロジー最適化法（第２報）―カーネルリッジ回帰としてのNGnet法―," 電気学会静止器回転機合同研究会, SA-24-016,RM-24-016, 2024.
  • 日高勇気, 佐藤孝洋, 菅原賢悟, "Warm Starting CMA-ESによる制約付最適化問題の計算時間削減に関する基礎検討," 電気学会静止器回転機合同研究会, SA-24-021,RM-24-021, 2024.

＜受賞＞

  • 佐藤孝洋、電気学会優秀論文発表賞、電気学会、2024.