Discovery of polymer electret material via de novo molecule generation and functional group enrichment analysis Y Zhang, J Zhang, K Suzuki, M Sumita, K Terayama, J Li, Z Mao, K Tsuda, ... Applied Physics Letters 118 (22), 2021 | 21 | 2021 |
Cost-effective and scalable rectifier design for multiple piezoelectric power sources with improved performance Y Zhang, K Bian, Y Gu, M Ye, W Tian, W Liu Journal of Intelligent Material Systems and Structures 31 (1), 167-181, 2020 | 16 | 2020 |
Dynamic modeling and rolling data analysis of the tandem hot rolling process Y Fang-chen, Z Dian-hua, Z Yu-cheng Simulation 93 (4), 307-321, 2017 | 11 | 2017 |
Rapid screening of amorphous fluorinated polymer electret based on machine learning Z Mao, Y Zhang, K Suzuki, C Chen, S Ong, Y Suzuki 2021 IEEE Conference on Electrical Insulation and Dielectric Phenomena …, 2021 | 2 | 2021 |
AI‐Driven Discovery of Amorphous Fluorinated Polymer Electret with Improved Charge Stability for Energy Harvesting Z Mao, C Chen, Y Zhang, K Suzuki, Y Suzuki Advanced Materials, 2303827, 2023 | 1 | 2023 |
Investigation of charge stability in amorphous fluorinated polymer using quantum chemical analysis S Kim, Y Zhang, K Suzuki, Y Suzuki 2019 IEEE Conference on Electrical Insulation and Dielectric Phenomena …, 2019 | 1 | 2019 |
Decoupling control based on sliding mode controller for looper system F Yin, D Zhang, T Han, Y Zhang 2016 35th Chinese Control Conference (CCC), 2608-2613, 2016 | 1 | 2016 |
物理法則を考慮した深層学習に基づくポリマーエレクトレット材料の特性予測 張玉橙, 鈴木邦子,鈴木雄二 日本機械学会熱工学コンファレンス2022, A234, 2022 | | 2022 |
深層生成モデルを用いた高性能ポリマーエレクトレット開発するための新規アミン分子の生成 張玉橙,毛澤田,鈴木邦子,鈴木雄二 年次大会 2022, J061-04, 2022 | | 2022 |
De Novo 分子生成を用いた環境発電用高性能ポリマーエレクトレット開発 張玉橙, 張金哲, 鈴木邦子, 隅田真人, 寺山慧, 李家文, 毛澤田, ... 年次大会 2021, J063-03, 2021 | | 2021 |
誘電・絶縁材料研究会・量子化学計算, コンポジット材料, 誘電・絶縁特性 毛澤田, 張玉橙, 鈴木邦子, 鈴木雄二 電気学会研究会資料. DEI 2020 (89), 7-12, 2020 | | 2020 |
アモルファスフッ素ポリマー・エレクトレットのための誘電分極モデルを用いた固体解析 張玉橙, 毛澤田, 鈴木邦子, 鈴木雄二 マイクロ・ナノ工学シンポジウム 2020.11, 26A3-MN1-5, 2020 | | 2020 |
Do Better QM9 Models Extrapolate as Better Quantum Chemical Property Predictors? Y Zhang, N Charoenphakdee, S Takamoto Machine Learning and the Physical Sciences workshop at NeurIPS, 0 | | |