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Improved irradiation resistance of accident-tolerant high-strength FeCrAl alloys with heterogeneous structures

Investigation of deformation mechanisms in an advanced FeCrAl alloy using in-situ SEM-EBSD testing

Microchemical evolution of irradiated additive-manufactured HT9

Micromechanical aspects of deformation and failure of advanced Iron-Chromium-Aluminum alloys

Performance and limitations of deep learning semantic segmentation of multiple defects in transmission electron micrographs

Real-time, On-Microscope Automated Quantification of Features in Microcopy Experiments Using Machine Learning and Edge Computing

Towards Optimized Characterization of Dislocation Loops in Irradiated FCC Alloys Using On-Zone STEM Techniques

A deep learning based automatic defect analysis framework for In-situ TEM ion irradiations

Videos captured using Transmission Electron Microscopy (TEM) can encode details regarding the morphological and temporal evolution of a material by taking snapshots of the microstructure sequentially. However, manual analysis of such video is …

Deconvoluting the Effect of Chromium and Aluminum on the Radiation Response of Wrought FeCrAl Alloys After Low-Dose Neutron Irradiation

FeCrAl alloys have been extensively investigated over the past decade as a candidate material for accident-tolerant fuel cladding in light water reactors. This work completes a first of its kind study where Al and Cr concentrations are varied …

A deep learning based automatic defect analysis framework for In-situ TEM ion irradiations