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Title: Applications of Analytic Models to Spent Fuel Cask Analysis

Abstract

The advent of high performance computing has changed the way scientists and engineers solve problems. Scientists previously would make a tremendous effort to simplify a complex problem to it’s essence by reducing geometry, neglecting changes and only preserving first-order effects. Now, scientist are able to leave the details in the problem and computationally arrive at a result. To develop the computational physics programs used by scientists, developers make assumptions and use approximation to reduce complex, continuous calculus to algebraic expressions which computers are able to solve.

Authors:
 [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1482918
Report Number(s):
LA-UR-18-31006
DOE Contract Number:  
89233218CNA000001
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; Spent Fuel Cask; Symmetry Analysis

Citation Formats

Remedes, Tyler Joseph. Applications of Analytic Models to Spent Fuel Cask Analysis. United States: N. p., 2018. Web. doi:10.2172/1482918.
Remedes, Tyler Joseph. Applications of Analytic Models to Spent Fuel Cask Analysis. United States. doi:10.2172/1482918.
Remedes, Tyler Joseph. Tue . "Applications of Analytic Models to Spent Fuel Cask Analysis". United States. doi:10.2172/1482918. https://www.osti.gov/servlets/purl/1482918.
@article{osti_1482918,
title = {Applications of Analytic Models to Spent Fuel Cask Analysis},
author = {Remedes, Tyler Joseph},
abstractNote = {The advent of high performance computing has changed the way scientists and engineers solve problems. Scientists previously would make a tremendous effort to simplify a complex problem to it’s essence by reducing geometry, neglecting changes and only preserving first-order effects. Now, scientist are able to leave the details in the problem and computationally arrive at a result. To develop the computational physics programs used by scientists, developers make assumptions and use approximation to reduce complex, continuous calculus to algebraic expressions which computers are able to solve.},
doi = {10.2172/1482918},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {11}
}

Technical Report:

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