Sangkeun (Matt) Lee Data Scientist (R&D Associate) Contact 865.574.8858 | LEES4@ORNL.GOV All Publications A machine learning approach to predict thermal expansion of complex oxides DATA FUSION: A PROJECT UPDATE & PATHWAY FORWARD Advanced Health Information Technology Analytic Framework and Application to Hazard Detection Data Analysis Approach for Large Data Volumes in a Connected Community Toward Quantifying Vulnerabilities in Critical Infrastructure Systems Uncertainty Quantification of Machine Learning Predicted Creep Property of Alumina-Forming Austenitic Alloys ScaleML: Machine Learning based Heap Memory Object Scaling Prediction... Advanced data science toolkit for non-data scientists ā A user guide ASCENDS: Advanced data SCiENce toolkit for Non-Data Scientists Small Angle Scattering Data Analysis Assisted by Machine Learning Methods Interatomic Potential Model Development: FiniteāTemperature Dynamics Machine Learning Quantification of Energy Cost Savings through Optimization and Control of Appliances within Smart Neighborhood Homes MODELS AND METHODS FOR ASSESSING THE VALUE OF HVDC AND MVDC TECHNOLOGIES IN MODERN POWER GRIDS MODELS AND METHODS FOR ASSESSING THE VALUE OF HVDC AND MVDC TECHNOLOGIES IN MODERN POWER GRIDS Modern data analytics approach to predict creep of high-temperature alloys Aggregation and data analysis of corrosion studies in molten chloride and fluoride salts Machine Learning for Thermal Transport Analysis of Aluminum Alloys with Precipitate Morphology Aggregation and data analysis of corrosion studies in molten chloride and fluoride salts A programmable shared-memory system for an array of processing-in-memory devices Best effort broadcast under cascading failures in interdependent critical infrastructure networks Applying Graph Analytics to Understand Compute Core Usage and Publication Trends in a Petascale Supercomputing Facility HotSpots: Failure Cascades on Heterogeneous Critical Infrastructure Networks Petascale supercomputing to accelerate the design of high-temperature alloys Solute Segregation at the Al/ Īø ā²-Al 2 Cu Interface in Al-Cu Alloys AnalyzeThat: A Programmable Shared-Memory System for an Array of Processing-In-Memory Devices Pagination First page Ā« First Previous page ā¹ā¶Ä¹ Page 1 Current page 2 Page 3 Next page āŗā¶Äŗ Last page Last Ā» Key Links Organizations National Security Sciences Directorate Geospatial Science and Human Security Division Human Dynamics Section Critical Infrastructure Resilience
