Hongkyu Yoon

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    A[Hongkyu Yoon]
    AC["Associated Concepts (20)"]
    AW["Authored Works (19)"]
    CA["Linked Co-Authors (7)"]
    CI["Linked Collaborating Institutions (13)"]
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ORCiD

https://orcid.org/0000-0001-6719-280X

OpenAlex ID

https://openalex.org/A5089401974 (API record)

Associated Concepts [?]

• Geology
• Engineering
• Physics
• Materials science
• Computer science
• Biology
• Chemistry
• Composite material
• Geotechnical engineering
• Organic chemistry
• Quantum mechanics
• Mathematics
• Geography
• Paleontology
• Thermodynamics
• Porosity
• Artificial intelligence
• Porous medium
• Environmental science
• Ecology

Authored Works

sorted by decreasing year, and then by display-name

• The Damage Mechanics Challenge Results: Participant Predictions Compared with Experiment
• Subsurface Characterization using Deep Generative Adversarial Networks in a Bayesian Inverse Modeling
• Progressive reduced order modeling: a road to redemption for data-driven modeling
• Potential seismicity along basement faults induced by geological carbon sequestration
• Physics-informed machine learning of permeability estimation in 3D sandbox experiments
• Machine learning applications for event detection and phase arrival time estimation of microseismic waveform data at a CO2 injection site
• Machine Learning Applications for Estimation of Greenhouse Gas Emissions Using Multiple Satellite Images
• Geomechanical and geophysical properties of gypsum-based 3D printed geomaterials
• Subsurface Characterization using Deep Learning Approaches
• Numerical and Experimental Validation of Coupled Poro-elasto-plasticity of Geomaterials
• Multiscale segmentation of rock images and ensemble approach for deep learning methods
• Microseismic event detection and phase picking using deep learning methods
• Mechanisms for microseismicity occurrence due to CO2 injection at Decatur, Illinois: A coupled multiphase flow and geomechanics perspective
• Induced Fracture Geometry in Layered Media under Mixed Mode I and III Loading Conditions
• Hidden Markov Model Application for Unsupervised Clustering of Microseismic Events at CO2 Injection Site Reveals Hidden Zones of Weakness
• Geothermal Reservoir Characterization using Deep Learning Based Inversion Approach
• Experimental and numerical study of 3D pore-scale calcium carbonate dissolution and precipitation
• Development of A Machine Learning Based Framework for Well Spacing Optimization in Unconventional Oil and Gas Production
• A framework for data-driven solution of linear poroelasticity using continuous conditional generative adversarial networks

Linked Co-Authors

• Alexander Y. Sun
• Hari Viswanathan
• Jonghyun Lee
• Josimar A. Silva
• Ken Chang
• L. J. Pyrak‐Nolte
• Rubén Juanes

Linked Collaborating Institutions

• Cornell University, New York
• Georgia Institute of Technology
• Lawrence Livermore National Laboratory, California
• Los Alamos National Laboratory, New Mexico
• MIT, Department of Earth and Planetary Science
• Massachusetts Institute of Technology
• Purdue University, Indiana
• Sandia National Laboratories, New Mexico
• Texas A&M University, College Station
• University of Hawaii, Manoa
• University of Illinois, Urbana-Champaign, State Geological Survey
• University of Puerto Rico, Mayaguez
• University of Texas, Austin

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