| Year |
Citation |
Score |
| 2021 |
Shin SR, Cho HS, Lee Y, Gim S, Jung YM, Kim H, Terasaki O, Kang JK. Mapping and Local Negative Uptake Behavior of Adsorbates in Individual Pores of Metal-Organic Frameworks. Journal of the American Chemical Society. PMID 34870424 DOI: 10.1021/jacs.1c08809 |
0.412 |
|
| 2021 |
Cho HS, Tanaka H, Lee Y, Zhang YB, Jiang J, Kim M, Kim H, Kang JK, Terasaki O. Physicochemical Understanding of the Impact of Pore Environment and Species of Adsorbates on Adsorption Behaviour. Angewandte Chemie (International Ed. in English). PMID 34184380 DOI: 10.1002/anie.202107897 |
0.411 |
|
| 2020 |
Moosavi SM, Nandy A, Jablonka KM, Ongari D, Janet JP, Boyd PG, Lee Y, Smit B, Kulik HJ. Understanding the diversity of the metal-organic framework ecosystem. Nature Communications. 11: 4068. PMID 32792486 DOI: 10.1038/S41467-020-17755-8 |
0.714 |
|
| 2020 |
Liu XY, Lo WS, Wu C, Williams B, Luo L, Li Y, Chou LY, Lee Y, Tsung CK. Tuning Metal-Organic Framework Nanocrystal Shape through Facet-Dependent Coordination. Nano Letters. PMID 31995389 DOI: 10.1021/Acs.Nanolett.9B04997 |
0.314 |
|
| 2020 |
Shi Z, Tao Y, Wu J, Zhang C, He HL, Long L, Lee Y, Li T, Zhang YB. Robust Metal-Triazolate Frameworks for CO2 Capture from Flue Gas. Journal of the American Chemical Society. PMID 31968944 DOI: 10.1021/Jacs.9B12879 |
0.314 |
|
| 2020 |
Cui J, Zhang K, Zhang X, Lee Y. A computational study to design zeolite-templated carbon materials with high performance for CO2/N2 separation Microporous and Mesoporous Materials. 295: 109947. DOI: 10.1016/J.Micromeso.2019.109947 |
0.324 |
|
| 2019 |
Zhang X, Zhang K, Lee Y. Machine Learning Enabled Tailor-Made Design of Application-Specific Metal-Organic Frameworks. Acs Applied Materials & Interfaces. PMID 31820913 DOI: 10.1021/Acsami.9B17867 |
0.385 |
|
| 2019 |
He S, Chen L, Cui J, Yuan B, Wang H, Wang F, Yu Y, Lee Y, Li T. A General Way to Construct Micro- and Mesoporous Metal-Organic Framework-Based Porous Liquids. Journal of the American Chemical Society. PMID 31743020 DOI: 10.1021/Jacs.9B08458 |
0.337 |
|
| 2019 |
Zhang X, Cui J, Zhang K, Wu J, Lee Y. Machine Learning Prediction on Properties of Nanoporous Materials utilizing Pore Geometry Barcodes. Journal of Chemical Information and Modeling. PMID 31661958 DOI: 10.1021/Acs.Jcim.9B00623 |
0.337 |
|
| 2019 |
Lee Y, Hwang GS. Strong thermal conductivity dependence on arsenic-vacancy complex formation in arsenic-doped silicon Journal of Applied Physics. 126: 195104. DOI: 10.1063/1.5126160 |
0.641 |
|
| 2018 |
Braun E, Lee Y, Moosavi SM, Barthel S, Mercado R, Baburin IA, Proserpio DM, Smit B. Generating carbon schwarzites via zeolite-templating. Proceedings of the National Academy of Sciences of the United States of America. PMID 30108146 DOI: 10.1073/Pnas.1805062115 |
0.663 |
|
| 2018 |
Lee Y, Barthel SD, Dlotko P, Moosavi SM, Hess K, Smit B. High-throughput screening approach for nanoporous materials genome using topological data analysis: application to zeolites. Journal of Chemical Theory and Computation. PMID 29986145 DOI: 10.1021/Acs.Jctc.8B00253 |
0.741 |
|
| 2017 |
Liang C, Shi Z, He CT, Tan J, Zhou H, Zhou HL, Lee Y, Zhang YB. Engineering of Pore Geometry for Ultrahigh Capacity Methane Storage in Mesoporous Metal-Organic Frameworks. Journal of the American Chemical Society. PMID 28870070 DOI: 10.1021/Jacs.7B08347 |
0.327 |
|
| 2017 |
Lee Y, Barthel SD, Dłotko P, Moosavi SM, Hess K, Smit B. Quantifying similarity of pore-geometry in nanoporous materials. Nature Communications. 8: 15396. PMID 28534490 DOI: 10.1038/Ncomms15396 |
0.551 |
|
| 2017 |
Lee Y, Hwang GS. Molecular dynamics investigation of the thermal conductivity of ternary silicon–germanium–tin alloys Journal of Physics D: Applied Physics. 50: 494001. DOI: 10.1088/1361-6463/Aa94A0 |
0.346 |
|
| 2017 |
Boyd PG, Lee Y, Smit B. Computational development of the nanoporous materials genome Nature Reviews Materials. 2. DOI: 10.1038/Natrevmats.2017.37 |
0.486 |
|
| 2016 |
Lee Y, Pak AJ, Hwang GS. What is the thermal conductivity limit of silicon germanium alloys? Physical Chemistry Chemical Physics : Pccp. PMID 27398924 DOI: 10.1039/C6Cp04388G |
0.701 |
|
| 2016 |
Mercado R, Vlaisavljevich B, Lin LC, Lee K, Lee Y, Mason JA, Xiao DJ, Gonzalez MI, Kapelewski MT, Neaton JB, Smit B. Force Field Development from Periodic Density Functional Theory Calculations for Gas Separation Applications Using Metal-Organic Frameworks Journal of Physical Chemistry C. 120: 12590-12604. DOI: 10.1021/Acs.Jpcc.6B03393 |
0.702 |
|
| 2015 |
Lee Y, Pak AJ, Paek E, Hwang GS. Principal role of contact-force distribution in determining the thermal conductivity of supported graphene Physical Review Applied. 4. DOI: 10.1103/Physrevapplied.4.014006 |
0.713 |
|
| 2014 |
Lee Y, Hwang GS. Fundamental insight into control of thermal conductivity in silicon-germanium alloy nanowires Materials Research Society Symposium Proceedings. 1707. DOI: 10.1557/Opl.2014.665 |
0.624 |
|
| 2013 |
Lee Y, Hwang GS. Microsegregation effects on the thermal conductivity of silicon-germanium alloys Journal of Applied Physics. 114. DOI: 10.1063/1.4828884 |
0.626 |
|
| 2012 |
Lee EK, Yin L, Lee Y, Lee JW, Lee SJ, Lee J, Cha SN, Whang D, Hwang GS, Hippalgaonkar K, Majumdar A, Yu C, Choi BL, Kim JM, Kim K. Large thermoelectric figure-of-merits from SiGe nanowires by simultaneously measuring electrical and thermal transport properties. Nano Letters. 12: 2918-23. PMID 22548377 DOI: 10.1021/Nl300587U |
0.686 |
|
| 2012 |
Lee Y, Hwang GS. Mechanism of thermal conductivity suppression in doped silicon studied with nonequilibrium molecular dynamics Physical Review B. 86. DOI: 10.1103/Physrevb.86.075202 |
0.623 |
|
| 2012 |
Lee Y, Hwang GS. Force-matching-based parameterization of the Stillinger-Weber potential for thermal conduction in silicon Physical Review B. 85. DOI: 10.1103/Physrevb.85.125204 |
0.616 |
|
| 2011 |
Lee Y, Lee S, Hwang GS. Effects of vacancy defects on thermal conductivity in crystalline silicon: A nonequilibrium molecular dynamics study Physical Review B. 83. DOI: 10.1103/Physrevb.83.125202 |
0.655 |
|
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