Advanced Characterization

Developing critical insights on the effects of Mo on alpha prime precipitation and dislocation loop formation in FeCrAl alloys

This project aims at developing a mechanistic understanding on the effects of Mo on α' precipitation and dislocation loop formation in FeCrAl alloys in thermal and irradiation conditions.

Rapid Detection of Noble Nanoparticles by Deep Learning

Connecting electrochemical potential using automated noble nanoparticle detection

Mechanism Driven Evaluations of Sequential and Simultaneous Irradiation-Creep-Fatigue Testing

Development of accelerated irradiation creep fatigue testing

Precipitate Stability and Helium Trapping in Advanced Steels

Understanding helium and precipitation in steels.

Accelerated irradiation creep testing coupled with self-adaptive accelerated molecular dynamics simulations for scalability analysis

Development of accelerated irradiation creep testing

Advance Castable Nanostructured Alloys for First-wall/Blanket Applications

Development of commercial grade Castable Nanostructured Alloys (CNAs) for fusion energy

Evaluation of Human-Bias in Machine Learning Models for Electron Microscopy

Evaluating how human perception in ambiguous images impacts extrinsic errors in common machine learning frameworks for feature detection

Real-time Microscopy Quantification Using Machine Learning

Applications of edge computing and machine learning to automatically identify features in micrographs

Rapid Simulation of Irradiation Damage in PWR Internals

Using ion beams to emulate neutron irradiation after preconditioning.

Defect Detection Using Deep Learning

Using machine vision techniques for rapid defect detection in electron microscopy images.