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Kernel methods for evolution of generalized parton distributions
Generalized parton distributions (GPDs) characterize the 3-dimensional structure of hadrons, combining information about their internal quark and gluon longitudinal momentum distributions and transverse position within the hadron. The dependence of GPDs on the factorization scale Q 2 allows one to connect hard exclusive processes involving GPDs at disparate energy and momentum scales, which is needed in global analyses of experimental data. Here, in this work, we explore how finite element methods can be used to construct fast and differentiable Q 2 evolution codes for GPDs in momentum space, which can be used in a machine learning framework. We show numerical benchmarks of the methods' accuracy, including a comparison to an existing evolution code from PARTONS/APFEL++, and provide a repository where the code can be accessed.
Characterization of mango seed kernel starch: Extraction and Analysis
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CRKSPH – A Conservative Reproducing Kernel Smoothed Particle Hydrodynamics Scheme
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Nonlocal kernel network (NKN): A stable and resolution-independent deep neural network
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Characterization of fluidized bed chemical vapor deposition ZrC coatings on PyC/YSZ kernels deposited under differing conditions
In this study, coated fuel particle architectures with ZrC coatings are candidate fuels for advanced power reactors and space nuclear propulsion (SNP) concepts. Owing to its relevance to SNP, the composition, microstructure, and mechanical properties of eight ZrC coatings prepared by fluidized bed chemical vapor deposition were evaluated. Evaluation by SEM and EBSD showed that all grains were columnar. Across the various examined samples, minor axis diameters varied between 0.3 and 1.1 μm, and major axis diameters varied between 0.4 and 2.3 μm. Major and minor diameters increased with thickness particularly at higher deposition temperatures in which the major grain axis (from an ellipse fit to the grain shape) increased by 2.5 μm over the entire coating. Coatings with higher reactive gas flows and Zr/C concentrations closer to 1 were observed to contain nanocrystalline graphite deposits. Reactive gas flow doubling led to increases in coating thickness from around 10–15 μm to around 22–27 μm.
Simulations of Ag diffusivity in irradiated TRISO fuel kernels
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A lumped parameter method of characteristics approach and multigroup kernels applied to the subgroup self-shielding calculation in MPACT
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Enhanced method for analysis of individual UCO kernel phase fractions
Abstract not provided.
Assessing the cost of redistribution followed by a computational kernel: Complexity and performance results
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Preliminary study on the influence of in situ filter size in CFD-DEM transfer kernel
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