Yan-Ru Lin R&D Staff Scientist Contact 865.341.0182 | LINY@ORNL.GOV All Publications Mechanical Characteristics of Additively Manufactured ODS 316L and 316H Alloys with and without Post-Build Processing Corrosion Resistance of an AlCeMg/Stainless-Steel Reactive Bond Design of Silicide-Strengthened Nb–Si–Cr–(Mo) alloys for additive manufacturing Origins of radiation-induced optical attenuation in neutron-irradiated single-crystal sapphire at elevated temperatures Comprehensive characterization of the irradiation effects of glassy carbon ☆ Corrosion Behavior of a Reactive Bond Between Stainless Steel and a Cast AlCeMg Alloy Response of 11B enriched ZrB2 ultra-high temperature ceramic to neutron irradiation at elevated temperatures Mechanical Performance of Additively Manufactured ODS 316L and 316H Stainless Steels Cost-Effective Thermomechanical Processing of Nanostructured Ferritic Alloys: Microstructure and Mechanical Properties Investigation Al-Ce Alloy-Based Compact Heat Exchanger for Refrigerant Charge Reduction and Unprecedented Durability Characteristics of oxide-dispersion strengthened alloys produced by high-temperature severe deformation Understanding Formation of Irradiation-Induced Defects through 4D-STEM, Electron Tomography, and WBDF-STEM Understanding Formation of Irradiation-Induced Defects through 4D-STEM, Electron Tomography, and WBDF-STEM Application of Weak-Beam Dark-Field STEM for Dislocation Loop Analysis Comparison of hardening and microstructures of ferritic/martensitic steels irradiated with fast neutrons and dual ions... Post-irradiation examination of commercial tantalum alloys following neutron irradiation The role of stacking fault tetrahedra on void swelling in irradiated copper Defect-specific strength factors and superposition model for predicting strengthening of ion irradiated Fe18Cr alloy Flash electropolishing of BCC Fe and Fe-based alloys Predicting displacement damage for ion irradiation: Origin of the overestimation of vacancy production in SRIM full-cascade calculations Application of a deep learning semantic segmentation model to helium bubbles and voids in nuclear materials Feasibility Studies and Downselection of New Materials and Manufacturing Technologies for Nuclear Applications Downselection and Basic Properties of Additively Manufactured ODS Alloys A deep learning model for automatic analysis of cavities in irradiated materials Analysis of position-dependent cavity parameters in irradiated metals to obtain insight on fundamental defect migration pheno... Pagination Current page 1 Page 2 Next page ›› Last page Last » Key Links Curriculum Vitae Google Scholar ORCID Organizations Physical Sciences Directorate Materials Science and Technology Division Materials in Extremes Section Radiation Effects and Microstructural Analysis Group
