Contact Information
213 Roger Adams Lab, MC-712
Urbana, IL 61801
Research Areas
Additional Campus Affiliations
Professor, Chemical and Biomolecular Engineering
Professor, Materials Science and Engineering
Professor, Materials Research Lab
Professor, Chemistry
Professor, Beckman Institute for Advanced Science and Technology
Theme Lead, Beckman Institute for Advanced Science and Technology
Recent Publications
Jeon, S., Kamble, Y., Xu, Z., Khasbaatar, A., Hwang, C., Lee, J. H., Shi, J., Rogers, S., Guironnet, D., & Diao, Y. (2025). Large modulation of the bottlebrush diblock copolymer morphology and structural color through solvent selectivity. Soft Matter, 21(12), 2217-2229. https://doi.org/10.1039/d4sm01495b
Kamble, Y. L., Shi, J., Jeon, S., Diao, Y., Rogers, S., & Guironnet, D. (2025). Synthesis and Characterization of High-Density and High Degree of Polymerization Bottlebrush Block Copolymers for Photonic Applications. Macromolecules, 58(6), 3006-3015. https://doi.org/10.1021/acs.macromol.4c02692
Khasbaatar, A., Damron, A. M., Fernando, P. S., Williams, J. S., Zhu, C., Gann, E. H., Lee, J. H., Birge, A., Kim, B., Sabury, S., Lee, M. L., Reynolds, J. R., & Diao, Y. (2025). Lyotropic Liquid Crystal Mediated Assembly of Donor Polymers Enhances Efficiency and Stability of Blade-Coated Organic Solar Cells. Advanced Materials, 37(11), Article 2414632. https://doi.org/10.1002/adma.202414632
Zhang, R., Chen, H., Wang, T., Kobera, L., He, L., Huang, Y., Ding, J., Zhang, B., Khasbaatar, A., Nanayakkara, S., Zheng, J., Chen, W., Diao, Y., Abbrent, S., Brus, J., Coffey, A. H., Zhu, C., Liu, H., Lu, X., ... Gao, F. (2025). Equally high efficiencies of organic solar cells processed from different solvents reveal key factors for morphology control. Nature Energy, 10(1), 124-134. Article 4949. https://doi.org/10.1038/s41560-024-01678-5
Angello, N. H., Friday, D. M., Hwang, C., Yi, S., Cheng, A. H., Torres-Flores, T. C., Jira, E. R., Wang, W., Aspuru-Guzik, A., Burke, M. D., Schroeder, C. M., Diao, Y., & Jackson, N. E. (2024). Closed-loop transfer enables artificial intelligence to yield chemical knowledge. Nature, 633(8029), 351-358. https://doi.org/10.1038/s41586-024-07892-1