| Regulating the inner Helmholtz plane for stable solid electrolyte interphase on lithium metal anodes C Yan, HR Li, X Chen, XQ Zhang, XB Cheng, R Xu, JQ Huang, Q Zhang Journal of the American Chemical Society 141 (23), 9422-9429, 2019 | 468 | 2019 |
| Cation− solvent, cation− anion, and solvent− solvent interactions with electrolyte solvation in lithium batteries X Chen, XQ Zhang, HR Li, Q Zhang Batteries & Supercaps 2 (2), 128-131, 2019 | 167 | 2019 |
| The origin of the reduced reductive stability of ion–solvent complexes on alkali and alkaline earth metal anodes X Chen, HR Li, X Shen, Q Zhang Angewandte Chemie International Edition 57 (51), 16643-16647, 2018 | 146 | 2018 |
| Knowledge expression, numerical modeling and optimization application of ethylene thermal cracking: From the perspective of intelligent manufacturing K Bi, S Zhang, C Zhang, H Li, X Huang, H Liu, T Qiu Chinese Journal of Chemical Engineering 38, 1-17, 2021 | 22 | 2021 |
| A life cycle assessment of hard carbon anodes for sodium-ion batteries H Liu, Z Xu, Z Guo, J Feng, H Li, T Qiu, M Titirici Philosophical Transactions of the Royal Society A 379 (2209), 20200340, 2021 | 18 | 2021 |
| Toward carbon‐neutral ethylene production: assessment of the application potential of b io‐ethylene production pathways in China H Li, S Zhang, J Zhou, Z Wang, X Zhao, T Qiu Biofuels, Bioproducts and Biorefining 16 (6), 1568-1582, 2022 | 12 | 2022 |
| Accelerating intelligent microfluidic image processing with transfer deep learning: A microchannel droplet/bubble breakup case study S Zhang, H Li, K Wang, T Qiu Separation and Purification Technology 315, 123703, 2023 | 9 | 2023 |
| An innovative graph neural network model for detailed effluent prediction in steam cracking S Zhang, H Li, T Qiu Industrial & Engineering Chemistry Research 60 (50), 18432-18442, 2021 | 9 | 2021 |
| An integrated method of Bayesian optimization and D-optimal design for chemical experiment optimization X Huang, S Zhang, H Li, T Qiu Processes 11 (1), 87, 2022 | 5 | 2022 |
| Two-Level Decoupled Ethylene Cracking Optimization of Batch Operation and Cyclic Scheduling H Li, S Zhang, T Qiu Industrial & Engineering Chemistry Research 61 (44), 16539-16551, 2022 | 4 | 2022 |
| Continuous Manufacturing Process Sequential Prediction using Temporal Convolutional Network H Li, T Qiu Computer Aided Chemical Engineering 49, 1789-1794, 2022 | 4 | 2022 |
| Receding Horizon Optimization of Ethylene Cracking Operation and Scheduling under Supply Chain Fluctuations H Li, S Zhang, T Qiu Industrial & Engineering Chemistry Research 62 (12), 5125-5140, 2023 | 3 | 2023 |
| AI-based optimal control of fed-batch biopharmaceutical process leveraging deep reinforcement learning H Li, T Qiu, F You Chemical Engineering Science 292, 119990, 2024 | 2 | 2024 |
| 基于因果分析的烧结生产状态预测模型 李浩然， 邱彤 化工学报 72 (3), 1438-1446, 2021 | 1 | 2021 |
| Dynamic Scheduling of Ethylene Cracking Furnaces System Leveraging Deep Reinforcement Learning H Li, Y Wei, T Qiu Computer Aided Chemical Engineering 53, 2989-2994, 2024 | | 2024 |
| A Rolling Horizon Approach for Ethylene Production Scheduling with Daily Inventory Constraints H Li, T Qiu Computer Aided Chemical Engineering 52, 305-311, 2023 | | 2023 |
Qiang ZhangTsinghua University在 mails.tsinghua.edu.cn 的电子邮件经过验证
