Skip to main content

Chenyang Li

Postdoctoral Appointee

Biography

Chenyang Li received his Ph.D. in Materials Science and Engineering from The Johns Hopkins University in 2020 under the supervision of Professor Tim Mueller.  Dr. Li’s research interests include fundamental understanding of structure-property relationships in catalysts using first principles calculations and machine learning.  Currently, Dr. Li is a member of the Molecular Materials Group working with Dr. Rajeev Assary and he is carrying out collaborative research within the Consortium for Computational Physics and Chemistry (CCPC). 

Selected Publications

  •  Li, C., Nilson, T., Cao, L., Mueller, T. Predicting activation energies for vacancy-mediated diffusion in alloys using a transition-state cluster expansion. Phys. Rev. Mater. 5, 013803 (2021)
  •  Wang, Y.†, Li, C.†, Li, X., Cao, L., Wang, L., Fan, Z., Chen, Y., Su, D., Zhang, H., Mueller, T., Wang, C. Undercoordinated active sites on 4H gold nanostructures for CO2 reduction. Nano Lett. 20, 8074 (2020)
  •  Chowdhury, T., Kim, J., Sadler, E.C., Li, C., Lee, S.W., Jo, K., Xu, W., Gracias, D.H., Drichko, N.V., Jariwala, D., Brintlinger, T.H., Mueller, T., Park, H.-G., Kempa, T.J. Substrate directed synthesis of MoS2 nanocrystals with tunable dimensionality and optical properties. Nat. Nanotechnol. 15, 29 (2020) [Featured on Phys​.org]
  •  Li, C., Gao, H., Wan, W., Mueller, T. Mechanisms for hydrogen evolution on transition metal phosphide catalysts and a comparison to Pt(111). Phys. Chem. Chem. Phys. 21, 24489 (2019)
  •  Wisesa, P., Li, C., Wang, C., Mueller, T. Materials with the CrVO4 structure type as candidate superprotonic conductors. RSC Adv. 9, 31999 (2019)
  •  Wang, Y., Cao, L., Libretto, N.J., Li, X., Li, C., Wan, Y., He, C., Lee, J., Gregg, J., Zong, H., Su, D., Miller, J.T., Mueller, T., Wang, C. Ensemble effect in bimetallic electrocatalysts for CO2 reduction. J. Am. Chem. Soc. 141, 16635 (2019)
  •  Cao, L., Li, C., Mueller, T. The use of cluster expansions to predict the structures and properties of surfaces and nanostructured materials. J. Chem. Inf. Model. 58, 2401 (2018) [Special issue: Materials informatics]
  •  Li, C.†, Raciti, D.†, Pu, T., Cao, L., He, C., Wang, C., Mueller, T. Improved prediction of nanoalloy structures by the explicit inclusion of adsorbates in cluster expansions. J. Phys. Chem. C 122, 18040 (2018)
  •  Cao, L., Raciti, D. Li, C., Livi, K., Rottmann, P., Hemker, K.J., Mueller, T., Wang, C. Mechanistic insights for low-overpotential electroreduction of CO2 to CO on copper nanowires. ACS Catal. 7, 8578 (2017)