Multiscale, mechanistic modeling of irradiation-enhanced silver diffusion in TRISO particles

PCA Simon, JH Ke, C Jiang, LK Aagesen… - Journal of Nuclear …, 2025 - Elsevier
Tristructural isotropic (TRISO) particles are under consideration for use in several proposed
advanced nuclear reactor concepts. The silicon carbide (SiC) layer in TRISO acts as a …

Mechanistic calculation of the effective silver diffusion coefficient in polycrystalline silicon carbide: Application to silver release in AGR-1 TRISO particles

PCA Simon, LK Aagesen, C Jiang, W Jiang… - Journal of Nuclear …, 2022 - Elsevier
The silicon carbide (SiC) layer in tristructural isotropic (TRISO) fuel particles serves as a
barrier to prevent the escape of fission products produced and not retained in the fuel kernel …

[PDF][PDF] Mechanisms of Mesoscale Hydride Morphology and Reorientation in a Polycrystal Investigated Using Phase-Field Modeling

PCA Simon, LQ Chen, MR Daymond… - Zirconium in the …, 2023 - nuce.psu.edu
This study focuses on the precipitation of nanoscale hydrides in polycrystalline zirconium as
a first step to predicting the hydride morphology observed experimentally and investigating …

Demonstrate Improved Ag Diffusion and Describe the Basis for Pd Penetration Modeling in SiC

PCA Simon, LK Aagesen Jr, C Jiang, W Jiang, JH Ke… - 2022 - osti.gov
In past work, an effective diffusivity coefficient was determined for Ag transport through the
silicon carbide layer of a tristructural isotropic fuel particle. The effective diffusivity coefficient …

Multi-scale fission product release model with comparison to AGR data

PCA Simon, LK Aagesen Jr, CV Bhave, C Jiang… - 2023 - osti.gov
TRistructural ISOtropic (TRISO) particle fuel is central to several advanced, high-temperature
reactor designs. Each particle consists of a fuel kernel encapsulated by three layers of …

Bayesian Analysis of TRISO Fuel: Quantifying Model Inadequacy, Incorporating Lower-Length-Scale Effects, and Developing Parallel Active Learning Capabilities

The\ac {doe}'s\ac {neams} program aims to develop predictive capabilities by applying
computational methods to the analysis and design of advanced reactor and fuel-cycle …