scispace - formally typeset
J

Jin Yeong Kim

Researcher at Ulsan National Institute of Science and Technology

Publications -  13
Citations -  743

Jin Yeong Kim is an academic researcher from Ulsan National Institute of Science and Technology. The author has contributed to research in topics: Metal-organic framework & Ligand (biochemistry). The author has an hindex of 9, co-authored 11 publications receiving 539 citations.

Papers
More filters
Journal ArticleDOI

Microfluidic approach toward continuous and ultrafast synthesis of metal-organic framework crystals and hetero structures in confined microdroplets.

TL;DR: A novel nanoliter droplet-based microfluidic strategy allowed continuous fabrication of high-quality MOF crystals and composites exhibiting distinct morphological characteristics in a time-efficient manner and represents a viable alternative to the time-consuming and multistep MOF synthesis processes.
Journal ArticleDOI

Exploiting Diffusion Barrier and Chemical Affinity of Metal–Organic Frameworks for Efficient Hydrogen Isotope Separation

TL;DR: This work reports a highly effective hydrogen isotope separation system based on metal-organic frameworks (MOFs) having the highest reported separation factor as high as ∼26 at 77 K by maximizing synergistic effects of the chemical affinity quantum sieved (CAQS) and kinetic quantum sieving (KQS).
Journal ArticleDOI

Hydrogen Isotope Separation in Confined Nanospaces: Carbons, Zeolites, Metal-Organic Frameworks, and Covalent Organic Frameworks.

TL;DR: Understanding the quantum sieving effect in nanospaces and the tailoring of porous materials based on it will open up new opportunities to develop a highly efficient and advanced isotope separation systems.
Journal ArticleDOI

Selective Hydrogen Isotope Separation via Breathing Transition in MIL-53(Al).

TL;DR: A strategy for effectively separating hydrogen isotopes through the dynamic pore change during the breathing of MIL-53(Al), a representative of flexible MOFs is reported, and the experiment shows that the selectivity for D2 over H2 is strongly related to the state of the pore structure.
Journal ArticleDOI

Computer-aided discovery of connected metal-organic frameworks

TL;DR: A joint computational/experimental workflow is presented that screens thousands of MOFs and identifies the optimal MOF pairs that can seamlessly connect to one another by taking advantage of the fact that the metal nodes of one MOF can form coordination bonds with the linkers of the second MOF.