|[Evolutionary Nanomaterials] Yangjin Lee, Jahyun Koo, Sol Lee, Jun-Yeong Yoon, Kangwon Kim, Myeongjin Jang, Jeongsu Jang, Jeongheon Choe, Bao-Wen Li, Chinh Tam Le, Farman Ullah, Yong Soo Kim, Jun Yeon Hwang, Won Chul Lee, Rodney S. Ruoff, Hyeonsik Cheong, Jinwoo Cheon, Hoonkyung Lee,* and Kwanpyo Kim*
Universal Oriented van der Waals Epitaxy of 1D Cyanide Chains on Hexagonal 2D Crystals
Advanced Science (Feb 19, 2020)
[Abstract] The atomic or molecular assembly on 2D materials through the relatively weak van der Waa...
|[Evolutionary Nanomaterials] Yangjin Lee, Sol Lee, Jun-Yeong Yoon, Jinwoo Cheon, Hu Young Jeong, *Kwanpyo Kim*
Fabrication and Imaging of Monolayer Phosphorene with Preferred Edge Configurations via Graphene-Assisted Layer-by-Layer Thinning
Nano Letters, 20 (Feb 19, 2020)
[Abstract] Phosphorene, a monolayer of black phosphorus (BP), is an elemental two-dimensional mater...
|[Precision Nanomedicine] Hui Kwon Kim, Younggwang Kim, Sungtae Lee, Seonwoo Min, Jung Yoon Bae, Jae Woo Choi, Jinman Park, Dongmin Jung, Sungroh Yoon and Hyongbum Henry Kim
SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance
Science Advances, 5 (Nov 6, 2019)
We evaluated SpCas9 activities at 12,832 target sequences using a high-throughput approach based on a human cell library containing single-guide RNA–encoding and target sequence pairs. Deep learning–based training on this large dataset of SpCas9-induced indel frequencies led to the development of a SpCas9 activity–predicting model named DeepSpCas9. When tested against independently generated datasets (our own and those published by other groups), DeepSpCas9 showed high generalization performance. DeepSpCas9 is available at http://deepcrispr.info/DeepSpCas9.
|[Evolutionary Nanomaterials] JeongheonChoe, Yangjin Lee,m Jungwon Park, Yunho Kim, Chae Un Kim* & Kwanpyo Kim*
Direct imaging of structural disordering and heterogeneous dynamics of fullerene molecular liquid
Nature Communications, 10 (4395) (Sep 27, 2019)
Structural rearrangements govern the various properties of disordered systems and visualization of these dynamical processes can provide critical information on structural deformation and phase transformation of the systems. However, direct imaging of individual atoms or molecules in a disordered state is quite challenging. Here, we prepare a model molecular system of C70 molecules on graphene and directly visualize the structural and dynamical evolution using aberration-corrected transmission electron microscopy. E-beam irradiation stimulates dynamics of fullerene molecules, which results in the first-order like structural transformation from the molecular crystal to molecular liquid. The real-time tracking of individual molecules using an automatic molecular identification process elucidates the relaxation behavior of a stretched exponential functional form. Moreover, the directly observed heterogeneous dynamics bear similarity to the dynamical heterogeneity in supercooled liquids ne
|[Evolutionary Nanomaterials] Young-Geun Park, Hyeon Seok An, Ju-Young Kim, Jang-Ung Park*
High-resolution, reconfigurable printing of liquid metals with three-dimensional structures
Science Advances, 5 (Jun 21, 2019)
We report an unconventional approach for high-resolution, reconfigurable 3D printing using liquid metals for stretchable, 3D integrations. A minimum line width of 1.9 mm can be reliably formed using direct printing, and printed patterns can be reconfigured into diverse 3D structures with maintaining pristine resolutions. This reconfiguration can be performed multiple times, and it also generates a thin oxide interface that can be effective in preventing the spontaneous penetration of gallium atoms into different metal layers while preserving electrical properties under ambient conditions. Moreover, these free-standing features can be encapsulated with stretchable, conformal passivations. We demonstrate applications in the form of a reconfigurable antenna, which is tunable by changing geometeries, and reversibly movable interconnections used as mechanical switches. The free-standing 3D structure of electrodes is also advantageous for minimizing the number and space between interconnecti
|[Nanobio Interface] Minsuk Kwak, Wonji Gu, Heekyung Jeong, Hyunjung Lee, Jung-uk Lee, Minji An, Yong Ho Kim, Jae-Hyun Lee, Jinwoo Cheon* and Young-wook Jun*
Small, Clickable, and Monovalent Magnetofluorescent Nanoparticles Enable Mechanogenetic Regulation of Receptors in a Crowded Live-Cell Microenvironment
Nano Lett., 19 (6), 3761-3769 (Apr 30, 2019)
Multifunctional magnetic nanoparticles have shown great promise as next-generation imaging and pertu...
|[Evolutionary Nanomaterials] Jae Hyo Han, Hong Ki Kim, Bongkwan Baek, Jeonghee Han, Hyun S. Ahn, Mu-Hyun Baik*, and Jinwoo Cheon*
Activation of the basal plane in two dimensional transition metal chalcogenide nanostructures
J. Am. Chem. Soc., 140 (42), 13663-13671 (Oct 11, 2018)
Achieving a molecular level understanding of chemical reactions on the surface of solid-stat...
|[Precision Nanomedicine] Yoonhee Jin, Jung Seung Lee, Jin Kim, Sungjin Min, Soohyun Wi, Ji Hea Yu, Gyeong-Eon Chang, Ann-Na Cho, Yeeun Choi, Da-Hee Ahn, Sung-Rae Cho, Eunji Cheong, Yun-Gon Kim, Hyong-Pyo Kim, Yonghwan Kim, Dong Seok Kim, Hyun Woo Kim, Zhejiu Quan, Hoon-Chul Kang* & Seung-Woo Cho*
Three-dimensional brain-like microenvironments facilitate the direct reprogramming of fibroblasts into therapeutic neurons
Nat. Biomed. Eng., 2, 522-539 (Jul 11, 2018)
Biophysical cues can improve the direct reprogramming of fibroblasts into neurons that can be used f...
|[Evolutionary Nanomaterials] Jae Hyo Han, Minkyoung Kwak, Youngsoo Kim, and Jinwoo Cheon*
Recent Advances in the Solution-Based Preparation of Two-Dimensional layered Transition Metal Chalcogenide Nanostructures
Chem. Rev., 118 (13), 6151-6188 (Jun 21, 2018)
The precise control in size/thickness, composition, crystal phases, doping, defects, and surface pro...
|[Precision Nanomedicine] Hui Kwon Kim, Seonwoo Min, Myungjae Song, Soobin Jung, Jae Woo Choi, Younggwang Kim, Sangeun Lee, Sungroh Yoon* and Hyongbum (Henry) Kim*
Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity
Nat. Biotechnol., 36 (3), 239-241 (Jan 29, 2018)
We present two algorithms to predict the activity of AsCpf1 guide RNAs. Indel frequencies for 15,000...