Dongwon Shin Senior R&D Staff Member Contact SHIND@ORNL.GOV All Publications Thermodynamic Investigation of the (La1-xGdx)2Zr2O7 Pyrochlore Phase Degradation of TiN coatings on inconel 617 and silicon wafer substrates under pulsed laser ablation Thermochemical modeling of the U1-yGdyO2±x phase... Reversible redox reactions in an epitaxially stabilized SrCoOx oxygen sponge... Efficient stochastic generation of special quasirandom structures Combined EBSD+EDS for Phase Differentiation in Zr/Steel Reaction Layers... Protection of Zirconium by Alumina- and Chromia-Forming Iron Alloys under High-Temperature Steam Exposure In situ ceramic layer growth on coated fuel particles dispersed in a zirconium metal matrix Phase stability of noble metal loaded WO3 for SO2 sensor applications Uranium Nitride as LWR TRISO Fuel: Thermodynamic Modeling of U-C-N... Thermodynamic Modeling of the (U,La)O2±x Solid Solution Phase... Pagination First page « First Previous page ‹‹ Page 1 Page 2 Current page 3 Key Links Google Scholar ORCID Advanced data SCiEnce toolkit for Non-Data scientists Organizations Physical Sciences Directorate Materials Science and Technology Division Materials Theory, Modeling and Simulation Section Microstructural Evolution Modeling Group
Research Highlight Deep Learning for Fast and Accurate Predictions of Crystallographic and Thermodynamic Properties of Multi-Component Solid Solution Alloys
Research Highlight Deep learning for fast and accurate predictions of crystallographic and thermodynamic properties of multi-component solid solution alloys
