Literature DB >> 24807895

Verifying scientific simulations via comparative and quantitative visualization.

James Ahrens, Katrin Heitmann, Mark Petersen, Jonathan Woodring, Sean Williams, Patricia Fasel, Christine Ahrens, Berk Geveci.   

Abstract

This article presents a visualization-assisted process that verifies scientific-simulation codes. Code verification is necessary because scientists require accurate predictions to interpret data confidently. This verification process integrates iterative hypothesis verification with comparative, feature, and quantitative visualization. Following this process can help identify differences in cosmological and oceanographic simulations.

Year:  2010        PMID: 24807895     DOI: 10.1109/MCG.2010.100

Source DB:  PubMed          Journal:  IEEE Comput Graph Appl        ISSN: 0272-1716            Impact factor:   2.088


  1 in total

1.  A content analysis-based approach to explore simulation verification and identify its current challenges.

Authors:  Christopher J Lynch; Saikou Y Diallo; Hamdi Kavak; Jose J Padilla
Journal:  PLoS One       Date:  2020-05-13       Impact factor: 3.240

  1 in total

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