Yongjin Lee
Affiliations: | University of California, Berkeley, Berkeley, CA, United States |
Area:
Computational ModelingGoogle:
"Yongjin Lee"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Gyeong S. Hwang | grad student | UT Austin (E-Tree) | |
| William A. Goddard | post-doc | Caltech | |
| Berend Smit | post-doc | UC Berkeley |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Shin SR, Cho HS, Lee Y, et al. (2021) Mapping and Local Negative Uptake Behavior of Adsorbates in Individual Pores of Metal-Organic Frameworks. Journal of the American Chemical Society |
| Cho HS, Tanaka H, Lee Y, et al. (2021) Physicochemical Understanding of the Impact of Pore Environment and Species of Adsorbates on Adsorption Behaviour. Angewandte Chemie (International Ed. in English) |
| Moosavi SM, Nandy A, Jablonka KM, et al. (2020) Understanding the diversity of the metal-organic framework ecosystem. Nature Communications. 11: 4068 |
| Liu XY, Lo WS, Wu C, et al. (2020) Tuning Metal-Organic Framework Nanocrystal Shape through Facet-Dependent Coordination. Nano Letters |
| Shi Z, Tao Y, Wu J, et al. (2020) Robust Metal-Triazolate Frameworks for CO2 Capture from Flue Gas. Journal of the American Chemical Society |
| Cui J, Zhang K, Zhang X, et al. (2020) A computational study to design zeolite-templated carbon materials with high performance for CO2/N2 separation Microporous and Mesoporous Materials. 295: 109947 |
| Zhang X, Zhang K, Lee Y. (2019) Machine Learning Enabled Tailor-Made Design of Application-Specific Metal-Organic Frameworks. Acs Applied Materials & Interfaces |
| He S, Chen L, Cui J, et al. (2019) A General Way to Construct Micro- and Mesoporous Metal-Organic Framework-Based Porous Liquids. Journal of the American Chemical Society |
| Zhang X, Cui J, Zhang K, et al. (2019) Machine Learning Prediction on Properties of Nanoporous Materials utilizing Pore Geometry Barcodes. Journal of Chemical Information and Modeling |
| Lee Y, Hwang GS. (2019) Strong thermal conductivity dependence on arsenic-vacancy complex formation in arsenic-doped silicon Journal of Applied Physics. 126: 195104 |