35 citations · 58 across the 4 of their papers we have counts for
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Designing Pr-based Advanced Photoluminescent Materials using Machine Learning and Density Functional Theory
Upendra Kumar, Hyeon Woo Kim, Sobhit Singh +2
This work presents a machine learning approach to predict novel perovskite oxide materials in the Pr-Al-O and Pr-Sc-O compound families with the potential for photoluminescence app…
Cs diffusion in SiC high-energy grain boundaries
Hyunseok Ko, Izabela Szlufarska, Dane Morgan
Cesium (Cs) is a radioactive fission product whose release is of concern for Tristructural-Isotropic (TRISO) fuel particles. In this work, Cs diffusion through high energy grain bo…
Optimization of self-interstitial clusters in 3C-SiC with Genetic Algorithm
Hyunseok Ko, Amy Kaczmarowski, Izabela Szlufarska +1
Under irradiation, SiC develops damage commonly referred to as black spot defects, which are speculated to be self-interstitial atom clusters. To understand the evolution of these…
Ag diffusion in SiC high-energy grain boundaries: kinetic Monte Carlo study with first-principle calculations
Hyunseok Ko, Jie Deng, Izabela Szlufarska +1
The diffusion of silver (Ag) impurities in high energy grain boundaries (HEGBs) of cubic (3C) silicon carbide (SiC) is studied using an ab initio based kinetic Monte Carlo (kMC) mo…