Journal Paper

• Methawee Nukunudompanich, H. Yoon, Lee Hyojae, Keisuke Kameda, Manabu Ihara, Sergei Manzhos. Machine learning of properties of lead-free perovskites with a neural network with additive kernel regression-based neuron activation functions, MRS Advances, Jan. 2024.

International Conference (Not reviewed / Unknown)

• Nukunudompanich, H. Yoon, L. Hyojae, K. Kameda, M. Ihara, S. Manzhos. Machine learning of properties of perovskites with an NN with additive kernel GPR-based neuron activation functions, Chemical Compound Space Conference 2024 (CCSC 2024), May 2024.

Domestic Conference (Not reviewed / Unknown)

• Tatsuya Kagawa, Taiki Iijima, Hyojae Lee, Shuai Wang, Keisuke Kameda, Sergei Manzhos, Manabu Ihara. クラスタリングを利用したSHAP値の解析手法によるエネルギー消費行動の可視化, 化学工学会第55回秋季大会, Sept. 2024.
• Natsuki Otoshi, Hyojae Lee, Keisuke Kameda, Sergei Manzhos, Manabu Ihara. リアルタイム雲画像データに基づく日射成分を用いた影を含む太陽電池発電量予測モデル, 化学工学会 第89年会 (堺), Mar. 2024.
• Keisuke Kameda, Kei Nakagawa, Yasutomo Koga, Kexin Chen, Reimi Takagi, Taishiro Wakamiya, Narumi Okazaki, Hyojae Lee, Natsuki Otoshi, Sergei Manzhos, Manabu Ihara. 電極反応モデルに基づく水素発電におけるBaZr0.9Y0.1O3-δ添加Ni/YSZ燃料極の反応種被覆率の推定, 化学工学会 第89年会 (堺), Mar. 2024.

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