Dr Xizhong Chen Lecturer in the Department of Chemical and Biological Engineering
Contact: Sir Robert Hadfield Building, Mappin St, Sheffield, S1 3JD +44 (0)114 222 7567 firstname.lastname@example.org
Biography Before joing Sheffield, I have a number of years’ experiences at various international institutions such as worked as a Lecturer at University College Cork, Research Associate at The University of Cambridge and Marie Curie Postdoctoral Fellow at The University of Edinburgh. I'm currently an Editorial Board member of Mathematical Problems In Engineering Journal, invited Reviewer Editor of Frontiers in Chemical Engineering Journal and Guest Editor of Processes Journal, and Int. J. Chem. Reactor Eng Journal. I'm also an Exceptional Promise endorsed by the Royal Academy of Engineering and awarded the 2021 Future Chemical Engineering Scholar from GACCE.
Research I have more than 10 years experience in multiphase flow simulations, particle technology and machine learning applications. My main research interests include Multiscale Modelling, Process System Engineering, and Artificial Intelligence. I'm the chapter co-author of Powder Technology Handbook, and Industry 4.0 Vision for Energy and Materials book. I have established a wide range of collaborations with major pharmaceutical companies (e.g. Pfizer, GSK, Eli Lilly, and AstraZeneca), chemical companies (e.g. BASF, Proctor and Gamble and Johnson Matthey), software solution companies (e.g. Altair EDEM and Siemens PSE ltd), and instrumentation company (e.g. Malvern Panalytical and Carl Zeiss AG).
I'm very keen to support people who are passionate about engineering research and new technologies. There are several scholarship schemes that can be explored with the candidates. I very much welcome inquiries from potential Ph.D. students and Research Collaborations, please send a short motivation letter and CV via email to email@example.com.
Chen, X., Wang, L. G., Meng, F., & Luo, Z. H. (2021). Physics-informed deep learning for modelling particle aggregation and breakage processes. Chemical Engineering Journal, 426, 131220.
Wang, L. G., Ge, R., Chen, X*., Zhou, R., & Chen, H. M. (2021). Multiscale digital twin for particle breakage in milling: From nanoindentation to population balance model. Powder Technology, 386, 247-261.
Chen, X., & Elliott, J. A. (2020). On the scaling law of JKR contact model for coarse-grained cohesive particles. Chemical Engineering Science, 227, 115906.
Chen, X., Wang, L. G., & Ooi, J. Y. (2020). A DEM-PBM multiscale coupling approach for the prediction of an impact pin mill. Powder Technology., 366, 408-419.
Gajjar, P., Styliari, I. D., Nguyen, T. T. H., Carr, J., Chen, X., Elliott, J. A., ... & Murnane, D. (2020). 3D characterisation of dry powder inhaler formulations: Developing X-ray micro computed tomography approaches. European Journal of Pharmaceutics and Biopharmaceutics, 151, 32-44.
Wang, J., Chen, X., Bian, W., Zhao, B., & Wang, J. (2019). Quantifying the non-equilibrium characteristics of heterogeneous gas–solid flow of smooth, inelastic spheres using a computational fluid dynamics–discrete element method. Journal of Fluid Mechanics, 866, 776-790.
Chen, X., & Wang, J. (2017). Dynamic multiscale method for gas-solid flow via spatiotemporal coupling of two-fluid model and discrete particle model. AIChE Journal, 63(9), 3681-3691.
Chen, X., & Wang, J. (2014). A comparison of two-fluid model, dense discrete particle model and CFD-DEM method for modeling impinging gas–solid flows. Powder technology, 254, 94-102.
Chen, X. Z., Luo, Z. H., Yan, W. C., Lu, Y. H., & Ng, I. S. (2011). Three‐dimensional CFD‐PBM coupled model of the temperature fields in fluidized‐bed polymerization reactors. AIChE Journal, 57(12), 3351-3366.