Yongchul G. Chung

Pusan National University — South Korea

Chemistry · Physical Sciences

31h-index5.3kcitations114works10.02yr avg
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Research Topics

Metal-Organic Frameworks: Synthesis and Applications(67), Machine Learning in Materials Science(37), X-ray Diffraction in Crystallography(20), Covalent Organic Framework Applications(14), Catalytic Processes in Materials Science(12)

Publications114 total

Data-driven Prediction of Ionic Conductivity in Solid-State Electrolytes with Machine Learning and Large Language Models
arXiv (Cornell University)·2026Open Access
Data-driven Prediction of Ionic Conductivity in Solid-State Electrolytes with Machine Learning and Large Language Models
ArXiv.org·2026Open Access
Direct Air Capture with Solid-Sorbent: An Integrated Review of Adsorbent Design, Process Engineering, and CO2 Conversion
SSRN Electronic Journal·2026Open Access
Integrating Macrostate Probability Distributions with Swing Adsorption Modeling for Binary/Ternary Gas Separation
Industrial & Engineering Chemistry Research·2025
AIM: A user-friendly GUI workflow program for isotherm fitting, mixture prediction, isosteric heat of adsorption estimation, and breakthrough simulation
Computer Physics Communications·2025· 2 cited
Multiscale, techno-economic evaluation of isoreticular series of CALF-20 for biogas upgrading using a pressure/vacuum swing adsorption (PVSA) process
Molecular Systems Design & Engineering·2025
A Master Isotherm Model Approach to Quantify Defects in UiO-66 from Nitrogen Adsorption Isotherms
Langmuir·2025
Author response for "Multiscale, Techno-economic Evaluation of Isoreticular Series of CALF-20 for Biogas Upgrading using a Pressure/Vacuum Swing Adsorption (PVSA) Process"
2025
Techno-economic analysis of Cu(I)-loaded porous carbons for CO separation via pressure/vacuum swing adsorption process
Separation and Purification Technology·2025· 1 cited
Integrating Macrostate Probability Distributions with Swing Adsorption Modeling for Binary/Ternary Gas Separation
ArXiv.org·2025Open Access
MOFClassifier: A Machine Learning Approach for Validating Computation-Ready Metal–Organic Frameworks
Journal of the American Chemical Society·2025· 5 citedOpen Access
Accelerated discovery of high-performance MOFs for water adsorption chillers through molecular simulation and machine learning
Chemical Engineering Journal·2025· 3 cited
Enhancing interchain interactions in spirobifluorene-based microporous polyimides for high-performance organic solvent nanofiltration
Journal of Membrane Science·2025· 3 cited
CoRE MOF DB: A curated experimental metal-organic framework database with machine-learned properties for integrated material-process screening
Matter·2025· 48 cited
AIM: A User-friendly GUI Workflow program for Isotherm Fitting, Mixture Prediction, Isosteric Heat of Adsorption Estimation, and Breakthrough Simulation
arXiv (Cornell University)·2025Open Access
CoRE MOF DB: a curated experimental metal-organic framework database with machine-learned properties for integrated material-process screening
2025Open Access
Polyoxometalate Initiated In situ Conformal Coating of Multifunctional Hybrid Artificial Layers for High Performance Zinc Metal Anodes (Adv. Funct. Mater. 10/2025)
Advanced Functional Materials·2025Open Access
Modeling, screening, and techno-economic evaluation of metal–organic frameworks for boil-off gas capture during intercontinental transportation of LNG
Chemical Engineering Journal·2025· 1 cited
Correction to “Leveraging Machine Learning To Predict the Atmospheric Lifetime and the Global Warming Potential of SF6 Replacement Gases”
The Journal of Physical Chemistry A·2025
Techno-Economic Analysis of Cu(I)-Loaded Porous Carbons for Co Separation Using Pressure/Vacuum Swing Adsorption Process
SSRN Electronic Journal·2025Open Access
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Frequent Co-authors

Randall Q. Snurr(12), Sunghyun Yoon(8), Song Li(6), Maciej Harańczyk(5), Seulchan Lee(5), David S. Sholl(5), Guobin Zhao(5), Jeffrey S. Camp(4), Omar K. Farha(4), Daniel J. Lacks(4), Yu Chen(4), J. Ilja Siepmann(3), Cory M. Simon(3), Archit Datar(3), Li‐Chiang Lin(3), Karson T. Leperi(3), Fengqi You(3), Joseph T. Hupp(3), Wei‐Hung Chiang(3), Seongbin Ga(3)