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Benchmark analyses are being performed for both computational benchmarks and experimental benchmarks.
In future work, it may be useful to compare human profile selection choices to these computational benchmarks.
To gauge the use of ENDF/B-VII.0 and JEFF-3.1.1 nuclear data libraries in the fast reactor applications, two recent OECD/NEA computational benchmarks specified by Argonne National Laboratory were calculated.
To produce computational benchmarks in a realistic imputation scenario, we simulated data that model the large, ancestrally diverse reference panel that is being generated by the 1000 Genomes Project.
Therefore, we will make older versions available indefinitely: the "DoOR 1.0" or "DoOR 2.0" will represent different stages in the publicly available data, such that computational studies will be able to consistently use a single reference olfactome, allowing for creating statistical or computational benchmarks.
To provide computational benchmarks for the imputation methods used in this study, we simulated two reference panels: one containing 4800 haplotypes modeled on the ancestrally diverse reference dataset that is being produced by the 1000 Genomes Project, and another containing 1000 haplotypes modeled on the European component of the 1000 Genomes set.
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Two benchmark problems, a heterogeneous benchmark problem that is typical of a high temperature reactor (HTTR) proposed by Zhang et al. (2011) and VVER – 1000 OECD computational benchmark (NEA/NSC/DOC, 2002), are studied using VISWAM.
Combining (i) genomic, tissue engineering and regenerative medicine approaches for rational design of mouse models with (ii) rapid prototyping and computational benchmarking against human clinical data will enable fast and nonbiased validation of newly generated models.
The changes to T-ReX are verified by comparison of solutions to computational benchmark problems found with a previous version of TDKENO that made use of KENO V.a, and several other codes with time-dependent capabilities.
The expert group at OECD/NEA has proposed a computational benchmark to certify the calculation codes for utilizing weapons grade (WG) plutonium by converting it to mixed-oxide (MOX) fuel for nuclear reactors.
In this paper new solutions for the (UO2 + Gd) and (UO2 + PuO2 + Gd) fuel assemblies proposed within the "OECD VVER-1000 Burnup Computational Benchmark" are presented, these being representative of the designs which are expected to be used in the plutonium disposition mission.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com