Professional Education

  • Doctor of Philosophy, Texas A&M University College Station (2016)

Stanford Advisors

All Publications

  • Ionically Conductive Self-Healing Binder for Low Cost Si Microparticles Anodes in Li-Ion Batteries ADVANCED ENERGY MATERIALS Munaoka, T., Yan, X., Lopez, J., To, J. F., Park, J., Tok, J., Cui, Y., Bao, Z. 2018; 8 (14)
  • 3D Long-Range Triplet Migration in a Water-Stable Metal-Organic Framework for Upconversion-Based Ultralow-Power in Vivo Imaging JOURNAL OF THE AMERICAN CHEMICAL SOCIETY Park, J., Xu, M., Li, F., Zhou, H. 2018; 140 (16): 5493–99


    Triplet-triplet annihilation upconversion (TTA-UC) has gained increasing attention because it allows for harvesting of low-energy photons in the solar spectrum with high efficiency in relevant applications including solar cells and bioimaging. However, the utilization of conventional TTA-UC systems for low-power bioapplications is significantly hampered by their general incompatibility and low efficiency in aqueous media. Herein we report a metal-organic framework (MOF) as a biocompatible nanoplatform for TTA-UC to realize low-power in vivo imaging. Our MOF consists of a porphyrinic sensitizer in an anthracene-based Zr-MOF as a TTA-UC platform. In particular, closely aligned chromophores in the MOF facilitate a long-range 3D triplet diffusion of 1.6 μm allowing efficient energy migration in water. The tunable ratio between sensitizer and annihilator by our synthetic method also allows an optimization of the system for maximized TTA-UC efficiency in water at a very low excitation power density. Consequently, the low-power imaging of lymph node in a live mouse was successfully demonstrated with an excellent signal-to-noise ratio (SNR > 30 at 5 mW cm-2).

    View details for DOI 10.1021/jacs.8b01613

    View details for Web of Science ID 000431095100025

    View details for PubMedID 29634258

  • Robust and conductive two-dimensional metal-organic frameworks with exceptionally high volumetric and areal capacitance NATURE ENERGY Feng, D., Lei, T., Lukatskaya, M. R., Park, J., Huang, Z., Lee, M., Shaw, L., Chen, S., Yakovenko, A. A., Kulkarni, A., Xiao, J., Fredrickson, K., Tok, J. B., Zou, X., Cui, Y., Bao, Z. 2018; 3 (1): 30–36