| Online prediction of mechanical properties of hot rolled steel plate using machine learning Q Xie, M Suvarna, J Li, X Zhu, J Cai, X Wang Materials & Design 197, 109201, 2021 | 167 | 2021 |
| An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties Z Ren, SIP Tian, J Noh, F Oviedo, G Xing, J Li, Q Liang, R Zhu, AG Aberle, ... Matter 5 (1), 314-335, 2022 | 151 | 2022 |
| Recurrent neural network-based model predictive control for continuous pharmaceutical manufacturing WC Wong, E Chee, J Li, X Wang Mathematics 6 (11), 242, 2018 | 148 | 2018 |
| AI applications through the whole life cycle of material discovery J Li, K Lim, H Yang, Z Ren, S Raghavan, PY Chen, T Buonassisi, X Wang Matter 3 (2), 393-432, 2020 | 137 | 2020 |
| Topographic design in wearable MXene sensors with in-sensor machine learning for full-body avatar reconstruction H Yang, J Li, X Xiao, J Wang, Y Li, K Li, Z Li, H Yang, Q Wang, J Yang, ... Nature communications 13 (1), 5311, 2022 | 100 | 2022 |
| Automatic strain sensor design via active learning and data augmentation for soft machines H Yang, J Li, KZ Lim, C Pan, T Van Truong, Q Wang, K Li, S Li, X Xiao, ... Nature Machine Intelligence 4 (1), 84-94, 2022 | 79 | 2022 |
| Deep learning accelerated gold nanocluster synthesis J Li, T Chen, K Lim, L Chen, SA Khan, J Xie, X Wang Advanced Intelligent Systems 1 (3), 1900029, 2019 | 70 | 2019 |
| Machine vision automated chiral molecule detection and classification in molecular imaging J Li, M Telychko, J Yin, Y Zhu, G Li, S Song, H Yang, J Li, J Wu, J Lu, ... Journal of the American Chemical Society 143 (27), 10177-10188, 2021 | 51 | 2021 |
| Machine learning for membrane design and discovery H Yin, M Xu, Z Luo, X Bi, J Li, S Zhang, X Wang Green Energy & Environment 9 (1), 54-70, 2024 | 48 | 2024 |
| Self-improving photosensitizer discovery system via bayesian search with first-principle simulations S Xu, J Li, P Cai, X Liu, B Liu, X Wang Journal of the American Chemical Society 143 (47), 19769-19777, 2021 | 39 | 2021 |
| Machine‐learning‐assisted accurate prediction of molecular optical properties upon aggregation S Xu, X Liu, P Cai, J Li, X Wang, B Liu Advanced Science 9 (2), 2101074, 2022 | 33 | 2022 |
| A pH-responsive amphiphilic hydrogel based on pseudopeptides and poly (ethylene glycol) for oral delivery of hydrophobic drugs S Wang, R Attah, J Li, Y Chen, R Chen ACS Biomaterials Science & Engineering 4 (12), 4236-4243, 2018 | 26 | 2018 |
| Generalized reactor neural ODE for dynamic reaction process modeling with physical interpretability J Yin, J Li, IA Karimi, X Wang Chemical Engineering Journal 452, 139487, 2023 | 16 | 2023 |
| Intelligent synthesis of magnetic nanographenes via chemist-intuited atomic robotic probe J Su, J Li, N Guo, X Peng, J Yin, J Wang, P Lyu, Z Luo, K Mouthaan, J Wu, ... Nature Synthesis 3 (4), 466-476, 2024 | 13 | 2024 |
| A robust low data solution: dimension prediction of semiconductor nanorods X Liu, Y Xu, J Li, X Ong, SA Ibrahim, T Buonassisi, X Wang Computers & Chemical Engineering 150, 107315, 2021 | 13 | 2021 |
| Two-dimensional transient heat transfer model of moving quenching jet based on machine learning Q Xie, Y Wang, X Li, Z Yang, J Li, Z Xie, X Wang, J Cai, Q Xu International Journal of Heat and Mass Transfer 191, 122765, 2022 | 11 | 2022 |
| Identification of chemical compositions from “featureless” optical absorption spectra: Machine learning predictions and experimental validations T Chen, J Li, P Cai, Q Yao, Z Ren, Y Zhu, S Khan, J Xie, X Wang Nano Research 16 (3), 4188-4196, 2023 | 9 | 2023 |
| Smart systems engineering contributing to an intelligent carbon-neutral future: opportunities, challenges, and prospects X Wang, J Li, Y Zheng, J Li Frontiers of Chemical Science and Engineering 16 (6), 1023-1029, 2022 | 8 | 2022 |
| A machine learning-based decision support framework for energy storage selection L Li, T Zhou, J Li, X Wang Chemical Engineering Research and Design 181, 412-422, 2022 | 4 | 2022 |
| Single-atom catalysts property prediction via Supervised and Self-Supervised pre-training models L Wang, H Chen, L Yang, J Li, Y Li, X Wang Chemical Engineering Journal 487, 150626, 2024 | 3 | 2024 |
Xiaonan Wang (王笑楠)Tsinghua University & National University of Singaporeایمیل تأیید شده در tsinghua.edu.cn
