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ZHANG YUCHENG
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Year
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
212021
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
162020
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
112017
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
22021
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
12023
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
12019
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
12016
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
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Articles 1–13