[HTML][HTML] Image-driven discriminative and generative machine learning algorithms for establishing microstructure–processing relationships
We investigate the methods of microstructure representation for the purpose of predicting
processing condition from microstructure image data. A binary alloy (uranium–molybdenum) …
processing condition from microstructure image data. A binary alloy (uranium–molybdenum) …
Grain boundary engineering to control the discontinuous precipitation in multicomponent U10Mo alloy
We demonstrate here that locally stabilized structure and compositional segregation at grain
boundaries in a complex multicomponent alloy can be modified using high temperature …
boundaries in a complex multicomponent alloy can be modified using high temperature …
Microstructure and microchemistry changes at U-10Mo fuel/AA6061 cladding interfaces with varying hot isostatic pressing conditions
Abstract Monolithic uranium-10 wt.% molybdenum (U-10Mo) is a promising high-assay low-
enriched uranium fuel system for nuclear reactors used in research, medical isotope …
enriched uranium fuel system for nuclear reactors used in research, medical isotope …
An image-driven machine learning approach to kinetic modeling of a discontinuous precipitation reaction
Microstructure quantification is an essential component of materials science studies, yet,
there are no widely applicable, standard methodologies, for image data representation in …
there are no widely applicable, standard methodologies, for image data representation in …
Phase transformation kinetics in rolled U-10áwt.% Mo foil: Effect of post-rolling heat treatment and prior γ-UMo grain size
The effect of sub-eutectoid heat treatment on the phase transformation behavior in rolled U-
10áwt.% Mo (U10Mo) foils was systematically investigated. The as-cast 5ámm thick foils …
10áwt.% Mo (U10Mo) foils was systematically investigated. The as-cast 5ámm thick foils …
A machine learning approach to thermal conductivity modeling: A case study on irradiated uranium-molybdenum nuclear fuels
A deep neural network was developed for the purpose of predicting thermal conductivity with
a case study performed on neutron irradiated nuclear fuel. Traditional thermal conductivity …
a case study performed on neutron irradiated nuclear fuel. Traditional thermal conductivity …
Phase transformation of metastable discontinuous precipitation products to equilibrium phases in U10Mo alloys
The discontinuous precipitation (DP) mechanism is prevalent in over 80 alloy systems. We
report a new type of DP occurring along prior γ-UMo grain boundaries of an alloy of uranium …
report a new type of DP occurring along prior γ-UMo grain boundaries of an alloy of uranium …
Minimizing thickness variation in monolithic U-10Mo fuel foil and Zr interlayer during hot rolling: A microstructure-based finite element method analysis
Low-enriched uranium alloyed with 10 wt.% molybdenum (U-10Mo) has been identified as a
promising alternative to highly enriched uranium fuel for the United States' high performance …
promising alternative to highly enriched uranium fuel for the United States' high performance …
The effect of homogenization heat treatment on the texture evolution in U-10Mo alloy
BJ Schuessler, DP Field, NR Overman… - … Materials Transactions A, 2021 - Springer
Uranium alloyed with 10 wt pct Mo (U-10Mo) undergoes discontinuous precipitation (DP)
when subjected to sub-eutectoid heat treatment. It is hypothesized that the crystallographic …
when subjected to sub-eutectoid heat treatment. It is hypothesized that the crystallographic …
Preparation of γ-uranium-molybdenum alloys by electrochemical reduction of solid oxides in LiCl molten salt
Abstract Uranium-molybdenum (U-Mo) alloys especially the γ-U-Mo phase, with excellent
irradiation performance at high temperatures, have been extensively studied as low …
irradiation performance at high temperatures, have been extensively studied as low …