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Hyunseung Yang

Researcher at KAIST

Publications -  51
Citations -  1434

Hyunseung Yang is an academic researcher from KAIST. The author has contributed to research in topics: Convolutional neural network & Graphene. The author has an hindex of 21, co-authored 51 publications receiving 1211 citations. Previous affiliations of Hyunseung Yang include Rice University & Korea Institute of Science and Technology.

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Covalently Interconnected Three-Dimensional Graphene Oxide Solids

TL;DR: The synthesis of ordered, stacked macroscopic three-dimensional solid scaffolds of graphene oxide fabricated via chemical cross-linking of two-dimensional GO building blocks form highly porous interconnected structures, and the controlled reduction of these structures leads to formation of 3D conductive graphene scaffolds.
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Efficient colorimetric pH sensor based on responsive polymer-quantum dot integrated graphene oxide.

TL;DR: A versatile platform for a highly efficient and stable graphene oxide (GO)-based optical sensor that exhibits distinctive ratiometric color responses and can be expanded easily to various other multifunctional, GO-based sensors by using alternate stimuli-responsive polymers.
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Surface Engineering of Graphene Quantum Dots and Their Applications as Efficient Surfactants

TL;DR: A facile, one-step method for achieving systematic control of the surface properties of highly fluorescent GQDs, which can effectively stabilize oil-in-water Pickering emulsions and submicron-sized colloidal particles in mini-emulsion polymerization and offer great potential for various applications, including fluorescent sensors and imaging.
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Engineering the Shape of Block Copolymer Particles by Surface-Modulated Graphene Quantum Dots

TL;DR: In this paper, surface properties of GQDs were modified by grafting different alkyl ligands, such as hexylamine and oleylamine, to generate the surfactant behavior of the GQD.