Non‐covalent self‐assembly and covalent polymerization co‐contribute to polydopamine formation S Hong, YS Na, S Choi, IT Song, WY Kim, H Lee Advanced Functional Materials 22 (22), 4711-4717, 2012 | 967 | 2012 |
Prediction of very large values of magnetoresistance in a graphene nanoribbon device WY Kim, KS Kim Nature nanotechnology 3 (7), 408-412, 2008 | 720 | 2008 |
Fast DNA sequencing with a graphene-based nanochannel device SK Min, WY Kim, Y Cho, KS Kim Nature nanotechnology 6 (3), 162-165, 2011 | 580 | 2011 |
Near-field focusing and magnification through self-assembled nanoscale spherical lenses JY Lee, BH Hong, WY Kim, SK Min, Y Kim, MV Jouravlev, R Bose, KS Kim, ... Nature 460 (7254), 498-501, 2009 | 383 | 2009 |
Insights into the Structures, Energetics, and Vibrations of Monovalent Cation−(Water)1-6 Clusters HM Lee, P Tarakeshwar, J Park, MR Kołaski, YJ Yoon, HB Yi, WY Kim, ... The Journal of Physical Chemistry A 108 (15), 2949-2958, 2004 | 180 | 2004 |
Chromium porphyrin arrays as spintronic devices WJ Cho, Y Cho, SK Min, WY Kim, KS Kim Journal of the American Chemical Society 133 (24), 9364-9369, 2011 | 178 | 2011 |
Molecular generative model based on conditional variational autoencoder for de novo molecular design J Lim, S Ryu, JW Kim, WY Kim Journal of cheminformatics 10 (1), 1-9, 2018 | 176 | 2018 |
Tuning molecular orbitals in molecular electronics and spintronics WY Kim, KS Kim Accounts of chemical research 43 (1), 111-120, 2010 | 157 | 2010 |
Application of quantum chemistry to nanotechnology: electron and spin transport in molecular devices WY Kim, YC Choi, SK Min, Y Cho, KS Kim Chemical Society Reviews 38 (8), 2319-2333, 2009 | 137 | 2009 |
Predicting Drug–Target Interaction Using a Novel Graph Neural Network with 3D Structure-Embedded Graph Representation J Lim, S Ryu, K Park, YJ Choe, J Ham, WY Kim Journal of chemical information and modeling 59 (9), 3981-3988, 2019 | 127 | 2019 |
Composition-controlled PtCo alloy nanocubes with tuned electrocatalytic activity for oxygen reduction SI Choi, SU Lee, WY Kim, R Choi, K Hong, KM Nam, SW Han, JT Park ACS applied materials & interfaces 4 (11), 6228-6234, 2012 | 98 | 2012 |
Carbon nanotube, graphene, nanowire, and molecule‐based electron and spin transport phenomena using the nonequilibrium Green's function method at the level of first principles … WY Kim, KS Kim Journal of computational chemistry 29 (7), 1073-1083, 2008 | 86 | 2008 |
Negative differential resistance of carbon nanotube electrodes with asymmetric coupling phenomena WY Kim, SK Kwon, KS Kim Physical Review B 76 (3), 033415, 2007 | 79 | 2007 |
Efficient prediction of reaction paths through molecular graph and reaction network analysis Y Kim, JW Kim, Z Kim, WY Kim Chemical science 9 (4), 825-835, 2018 | 77 | 2018 |
Noncovalent interactions of DNA bases with naphthalene and graphene Y Cho, SK Min, J Yun, WY Kim, A Tkatchenko, KS Kim Journal of Chemical Theory and Computation 9 (4), 2090-2096, 2013 | 77 | 2013 |
Scaffold-based molecular design with a graph generative model J Lim, SY Hwang, S Moon, S Kim, WY Kim Chemical Science 11 (4), 1153-1164, 2020 | 74 | 2020 |
Understanding structures and electronic/spintronic properties of single molecules, nanowires, nanotubes, and nanoribbons towards the design of nanodevices WY Kim, YC Choi, KS Kim Journal of Materials Chemistry 18 (38), 4510-4521, 2008 | 66 | 2008 |
Role of molecular orbitals of the benzene in electronic nanodevices YC Choi, WY Kim, KS Park, P Tarakeshwar, KS Kim, TS Kim, JY Lee The Journal of chemical physics 122 (9), 094706, 2005 | 61 | 2005 |
Deeply learning molecular structure-property relationships using attention-and gate-augmented graph convolutional network S Ryu, J Lim, SH Hong, WY Kim arXiv preprint arXiv:1805.10988, 2018 | 58 | 2018 |
A Bayesian graph convolutional network for reliable prediction of molecular properties with uncertainty quantification S Ryu, Y Kwon, WY Kim Chemical Science 10 (36), 8438-8446, 2019 | 56 | 2019 |