| Accelerating fuel cell development with additive manufacturing technologies: state of the art, opportunities and challenges XY Tai, A Zhakeyev, H Wang, K Jiao, H Zhang, J Xuan Fuel Cells 19 (6), 636-650, 2019 | 65 | 2019 |
| The future of sustainable chemistry and process: Convergence of artificial intelligence, data and hardware XY Tai, H Zhang, Z Niu, SDR Christie, J Xuan Energy and AI, 100036, 2020 | 19 | 2020 |
| Multi-objective optimisation with hybrid machine learning strategy for complex catalytic processes XY Tai, R Ocone, SDR Christie, J Xuan Energy and AI 7, 100134, 2022 | 18 | 2022 |
| Deep learning design of functionally graded porous electrode of proton exchange membrane fuel cells XY Tai, L Xing, SDR Christie, J Xuan Energy 283, 128463, 2023 | 3 | 2023 |
| Dynamic optimisation of CO2 electrochemical reduction processes driven by intermittent renewable energy: Hybrid deep learning approach XY Tai, L Xing, Y Zhang, Q Fu, O Fisher, SDR Christie, J Xuan Digital Chemical Engineering, 100123, 2023 | 1 | 2023 |
Jin XuanProfessor, University of Surrey在 surrey.ac.uk 的电子邮件经过验证
