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Sang-Yeon Hwang

Observed names: Hwang, Sang-Yeon, S.W. Hwang, Sang-Yeon, Hwang, Sang-yeon Hwang, Sangyeon Hwang, 황상연
Institution: Hoseo University
ORCID: 0000-0002-0103-2122
Observed ORCID: 0000-0002-0103-2122
OpenAlex ID: A5102725627
Reversible disorder-order transitions in atomic crystal nucleation
2021 · Sungho Jeon, Taeyeong Heo, et al. · Science · 278
PIGNet2: a versatile deep learning-based protein–ligand interaction prediction model for binding affinity scoring and virtual screening
2023 · Seokhyun Moon, Sang-Yeon Hwang, et al. · Digital Discovery · 68
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A hydrogel-assisted GDC chemical diffusion barrier for durable solid oxide fuel cells
2021 · Sangyeon Hwang, Jongseo Lee, et al. · Journal of Materials Chemistry A · 36
Controlling the Diameter of Electrospun Yttria‐Stabilized Zirconia Nanofibers
2016 · Ja Yang Koo, Sangyeon Hwang, et al. · Journal of the American Ceramic Society · 36
Enhanced interface reactivity by a nanowrinkled functional layer for intermediate-temperature solid oxide fuel cells
2019 · Jongseo Lee, Sangyeon Hwang, et al. · Journal of Materials Chemistry A · 27
RF plasma based selective modification of hydrophilic regions on super hydrophobic surface
2016 · Jaehyun Lee, Sangyeon Hwang, et al. · Applied Surface Science · 26
Configuration interaction singles based on the real-space numerical grid method: Kohn–Sham versus Hartree–Fock orbitals
2015 · Jaewook Kim, Kwangwoo Hong, et al. · Physical Chemistry Chemical Physics · 25
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Enhanced charge transfer with Ag grids at electrolyte/electrode interfaces in solid oxide fuel cells
2016 · Mingi Choi, Sangyeon Hwang, et al. · Journal of Materials Chemistry A · 24
Rational Design of a Metallic Functional Layer for High-Performance Solid Oxide Fuel Cells
2019 · Mingi Choi, Sangyeon Hwang, et al. · ACS Applied Energy Materials · 22
1D Fibers and 2D Patterns Made of Quantum Dot‐Embedded DNA via Electrospinning and Electrohydrodynamic Jet Printing
2018 · Velu Arasu, Sangyeon Hwang, et al. · Advanced Materials Technologies · 22
Effects of the locality of a potential derived from hybrid density functionals on Kohn–Sham orbitals and excited states
2017 · Jaewook Kim, Kwangwoo Hong, et al. · Physical Chemistry Chemical Physics · 16
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Scaffold-based molecular design using graph generative model
2019 · Lim, Jaechang, Hwang, Sang-Yeon, et al. · arXiv (Cornell University) · 12
Infiltrated thin film structure with hydrogel-mediated precursor ink for durable SOFCs
2021 · Sangyeon Hwang, Mingi Choi, et al. · Scientific Reports · 9
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A hybrid aerodynamic and electrostatic atomization system for enhanced uniformity of thin film
2017 · Baekhoon Seong, Sangyeon Hwang, et al. · Journal of Electrostatics · 9
Importance of local exact exchange potential in hybrid functionals for accurate excited states
2016 · Kim, Jaewook, Hong, Kwangwoo, et al. · arXiv (Cornell University) · 9
Porous an hollow nanofibers for solid oxide fuel cell electrodes
2020 · Minwoo Ahn, Sangyeon Hwang, et al. · Korean Journal of Chemical Engineering · 8
Waveguide slot array in-motion antenna for receiving both RHCP and LHCP using single layer polarizer
2006 · Kwang-Seop Son, Sang-Yeon Hwang, et al. · Asia-Pacific Microwave Conference (APMC) · 6
Symbiosis of Semiconductors, AI and Quantum Computing
2020 · S.W. Hwang, Seungju Han, et al. · Technical digest - International Electron Devices Meeting/Technical digest · 4
Kohn–Sham approach for fast hybrid density functional calculations in real-space numerical grid methods
2018 · Jaewook Kim, Sungwoo Kang, et al. · Computer Physics Communications · 4
Fragment-orbital tunneling currents and electronic couplings for analysis of molecular charge-transfer systems
2018 · Sang-Yeon Hwang, Jaewook Kim, et al. · Physical Chemistry Chemical Physics · 2
Response to Comment on “Reversible disorder-order transitions in atomic crystal nucleation”
2022 · Sungho Jeon, Sang-Yeon Hwang, et al. · Science · 1
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Attack Group Analysis and Identification based on Heterogeneous Graph
2024 · Taehyun Han, Sangyeon Hwang, et al. · Silicon Valley Cybersecurity Conference (SVCC)
HITS Inc.'s models and data for Dacon challenge, Jump AI 2023
2023 · Hwang, Sang-Yeon · Zenodo (CERN European Organization for Nuclear Research)
PIGNet2: A versatile deep learning-based protein-ligand interaction prediction model for accurate binding affinity scoring and virtual screening
2023 · Seokhyun, Moon, Sang-Yeon, Hwang, et al. · Zenodo (CERN European Organization for Nuclear Research)
Bayesian's eye on molecular science: Bayesian deep optimization of Onsager-Machlup action learning for uncertainty quantification and active learning of molecular properties
2019 · Seongok Ryu, Yongchan Kwon, et al.
Works count: 35
Citation count: 644
H-index: 12
I10-index: 12
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