skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Visual Analytics for Large Scale Scientific Simulations, Fiscal Year 2019

Authors:
ORCiD logo [1];  [2];  [3]
  1. Los Alamos National Laboratory
  2. Ohio State University
  3. Argonne National Laboratory
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Office of Science (SC). Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1583139
Report Number(s):
LA-UR-20-20207
DOE Contract Number:  
89233218CNA000001
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
Computer Science

Citation Formats

Woodring, Jonathan Lee, Shen, Han Wei, and Peterka, Tom. Visual Analytics for Large Scale Scientific Simulations, Fiscal Year 2019. United States: N. p., 2020. Web. doi:10.2172/1583139.
Woodring, Jonathan Lee, Shen, Han Wei, & Peterka, Tom. Visual Analytics for Large Scale Scientific Simulations, Fiscal Year 2019. United States. doi:10.2172/1583139.
Woodring, Jonathan Lee, Shen, Han Wei, and Peterka, Tom. Mon . "Visual Analytics for Large Scale Scientific Simulations, Fiscal Year 2019". United States. doi:10.2172/1583139. https://www.osti.gov/servlets/purl/1583139.
@article{osti_1583139,
title = {Visual Analytics for Large Scale Scientific Simulations, Fiscal Year 2019},
author = {Woodring, Jonathan Lee and Shen, Han Wei and Peterka, Tom},
abstractNote = {},
doi = {10.2172/1583139},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {1}
}

Technical Report:

Save / Share: