Rui Ding

First Author

  1. Rui Ding, Jia Li*, Jianguo Liu* et. al. Designing AI-aided analysis and prediction models for nonprecious metal electrocatalyst-based proton exchange membrane fuel cells, Angew. Chem. Int. Ed. , 2020, 59, 19175-19183.
  2. Rui Ding, Jia Li*, Jianguo Liu* et. al. Machine Learning-Guided Discovery of Underlying Decisive Factors and New Mechanisms for the Design of Nonprecious Metal Electrocatalysts, ACS Catal. , 2021, 11, 9798.
  3. Rui Ding, Jianguo Liu* et. al. Unlocking New Insights for Electrocatalyst Design: A Unique Data Science Workflow Leveraging Internet-Sourced Big Data, ACS Catal. , 2023, 13, 13267-13281.
  4. Rui Ding, Jia Li*, Jianguo Liu* et. al. Applying machine learning to boost the development of high-performance membrane electrode assembly for proton exchange membrane fuel cells, J. Mater. Chem. A , 2021, 9, 6841-6850 (inside cover).
  5. Rui Ding, Jia Li*, Jianguo Liu* et. al. Facile Grafting strategy synthesis of single-atom electrocatalyst with enhanced ORR performance, Nano Res. , 2020, 13, 1519-1526. (back cover)
  6. Rui Ding, Guoxiong Wang*, Jianguo Liu* et. al. Inspecting design rules of metal-nitrogen-carbon catalysts for electrochemical CO2 reduction reaction: From a data science perspective, Nano Res. , 2023, 16, 264–280
  7. Rui Ding, Xuebin Wang, Jia Li*, Jianguo Liu* et. al. Atomically Dispersed, Low-Coordinate Co–N Sites on Carbon Nanotubes as Inexpensive and Efficient Electrocatalysts for Hydrogen Evolution, Small , 2021, 18, 2105335
  8. Rui Ding, Xuebin Wang, Jia Li*, Jianguo Liu* et. al. Guiding the Optimization of Membrane Electrode Assembly in a Proton Exchange Membrane Water Electrolyzer by Machine Learning Modeling and Black-Box Interpretation, ACS Sustainable Chem. Eng. 2022, 10, 14, 4561–4578
  9. Rui Ding, Xuebin Wang, Jia Li*, Jianguo Liu* et. al. Application of Machine Learning in Optimizing Proton Exchange Membrane Fuel Cells: A Review, Energy and AI , 2022, 9, 100170.
  10. Rui Ding, Yawen Chen,, Jia Li*, Jianguo Liu* et. al. Machine learning utilized for the development of proton exchange membrane electrolyzers, J. Power Sources , 2023, 556, 232389
  11. Rui Ding, Wenjuan Yin, Jia Li*, Jianguo Liu* et. al. Effectively Increasing Pt Utilization Efficiency of the Membrane Electrode Assembly in Proton Exchange Membrane Fuel Cells through Multiparameter Optimization Guided by Machine Learning, ACS Appl. Mater. Interfaces , 2022, 14, 6, 8010–8024 (project leader, machine learning works)
  12. Rui Ding, Wenjuan Yin, Jia Li*, Jianguo Liu* et. al. Boosting the optimization of membrane electrode assembly in proton exchange membrane fuel cells guided by explainable artificial intelligence, Energy and AI , 2021, 5, 100098. (project leader, COMSOL modelling and machine learning works)

Second Author (including second co-first-author)

  1. (DFT calculation) Wang, Z., Ding, R., Zhang, J., Chen, L., Wang, Y., Liu, J., & Zou, Z. (2022). Biomimetic control of charge transfer in MOFs by solvent coordination for boosting photocatalysis. Chemical Communications, 58(70), 9830-9833.
  2. (Idea, Material Design, Drafting, Characterization) Chen, Y., Ding, R., Li, J., & Liu, J. (2022). Highly active atomically dispersed platinum-based electrocatalyst for hydrogen evolution reaction achieved by defect anchoring strategy. Applied Catalysis B: Environmental, 301, 120830.
  3. (Idea, Provide ML techniques, Drafting and Reviewing) Wang, J., Ding, R., Cao, F., Li, J., Dong, H., Shi, T., ... & Liu, J. (2022). Comparison of state-of-the-art machine learning algorithms and data-driven optimization methods for mitigating nitrogen crossover in PEM fuel cells. Chemical Engineering Journal, 442, 136064.
  4. (Drafting and Reviewing) Cao, F., Ding, R., Rui, Z., Wang, X., Meng, Z., Zhang, B., ... & Jiang, X. (2023). Advances in Low Pt Loading Membrane Electrode Assembly for Proton Exchange Membrane Fuel Cells. Molecules, 28(2), 773.
  5. (Idea, Provide ML techniques, Drafting and Reviewing) Rui, Z., Ding, R., Hua, K., Duan, X., Li, X., Wu, Y., ... & Liu, J. (2023). Design of proton exchange membranes with high durability for fuel cells: From the perspective of machine learning. Journal of Membrane Science, 121831.
  6. (DFT calculation) Wang, Z., Ding, R., Li, X., Zhang, J., Yang, L., Wang, Y., ... & Zhou, Z. (2023). Blocking Accretion Enables Dimension Reduction of Metal‐Organic Framework for Photocatalytic Performance. Small, 2305308.

Other Cooperation (Mainly DFT and experimental as well as characterization)

  1. Li, J., Zhu, X., Wang, J., Rui, Z., Zhang, S., Li, Y., ... & Zou, Z. (2020). Iron-containing porphyrins self-assembled on ZnO nanoparticles as electrocatalytic materials for oxygen reduction. ACS Applied Nano Materials, 3(1), 742-751.
  2. Duan, X., Cao, F., Ding, R., Li, X., Li, Q., Aisha, R., ... & Liu, J. (2022). Cobalt‐Doping Stabilized Active and Durable Sub‐2 nm Pt Nanoclusters for Low‐Pt‐Loading PEMFC Cathode. Advanced Energy Materials, 12(13), 2103144.
  3. Huo, Y., Li, Q., Rui, Z., Ding, R., Liu, J., Li, J., & Liu, J. (2021). A highly stable reinforced PEM assisted by resveratrol and polydopamine-treated PTFE. Journal of Membrane Science, 635, 119453.
  4. Zhao, X., Gunji, T., Lv, F., Huang, B., Ding, R., Liu, J., ... & Guo, S. (2021). Direct observation of heterogeneous surface reactivity and reconstruction on terminations of grain boundaries of platinum. ACS Materials Letters, 3(5), 622-629.
  5. Huo, Y., Li, Q., Rui, Z., Ding, R., Liu, J., Li, J., & Liu, J. (2021). A highly stable reinforced PEM assisted by resveratrol and polydopamine-treated PTFE. Journal of Membrane Science, 635, 119453.
  6. Wu, Y., Yuan, M., Li, X., Ding, R., Duan, X., Li, J., ... & Liu, J. (2022). Assistance of rearrangement of active sites in Fe/N/C catalyst for harvesting ultra-high power density PEMFCs. Applied Catalysis B: Environmental, 312, 121365.
  7. Cao, F., Zhang, H., Duan, X., Li, X., Ding, R., Hua, K., ... & Liu, J. (2022). Coating Porous TiO2 Films on Carbon Nanotubes to Enhance the Durability of Ultrafine PtCo/CNT Nanocatalysts for the Oxygen Reduction Reaction. ACS Applied Materials & Interfaces, 14(46), 51975-51982.
  8. Wu, Y., Li, X., Hua, K., Duan, X., Ding, R., Rui, Z., ... & Liu, J. (2023). Generalized Encapsulations of ZIF‐Based Fe–N–C Catalysts with Controllable Nitrogen‐Doped Carbon for Significantly‐Improved Stability Toward Oxygen Reduction Reaction. Small, 2207671.
  9. Wang, T., Zeng, J., Gu, X., Meng, Y., Yang, H., Zhu, H., ... & Wang, X. (2023). In-situ growth of nitrogen-doped carbon nanotubes on MXene nanosheets for efficient sodium/potassium-ion storage. Frontiers in Materials, 10, 1214543.
  10. Zeng, J., Wang, T., Gu, X., Zhu, H., Xu, C., Sun, D., ... & Jiang, X. (2023). Nickel-templated carbon foam anodes for sodium-ion batteries. FlatChem, 40, 100508.