2019-05-13 11:30:00, Altar.io, Altar.io

Content Categorization
/Science/Mathematics/Statistics

Word Count:
236

Words/Sentence:
17

Reading Time:
2.36 min

Reading Quality:
Advanced

Readability:
16th or higher

Media Sentiment
Proprietary sentiment analysis on both the headline and body text of the article. Sentiment scores range from -1 (very negative sentiment) to 1 (very positive sentiment).
RCS Analysis
Relative scoring for Risk, Crisis, and Security language within the article.
Risk Score
Scoring based on the composite risk, security and crisis language within an article compared to a baseline of historic analysis across thousands of diverse articles.
PESTEL Scope
Analysis of article orientation across the PESTEL macro-environmental analysis framework. Learn more about PESTEL.
Entity Word Cloud
Key people, places, organizations and events referenced in the article, weighted by frequency and colored based on contextual sentiment.
Auto Summary
Condensing key features of the article based on salience analysis. Helpful for “gisting” the article in a time crunch.

Schappel, Danny, Brown, Nicholas R., and Terrani, Kurt A. Modeling reactivity insertion experiments of TRISO particles in NSRR using BISON.

Schappel, Danny, Brown, Nicholas R., & Terrani, Kurt A. Modeling reactivity insertion experiments of TRISO particles in NSRR using BISON.

We report that by modifying the default elastic properties of the PyC and the UO2 coefficient of thermal expansion correlation, BISON was found to produce suitable agreement with the observed and independently simulated results when appropriate shape and scale Weibull parameters for SiC failure were chosen.

Schappel, Danny, Brown, Nicholas R., and Terrani, Kurt A. Fri .

"Modeling reactivity insertion experiments of TRISO particles in NSRR using BISON".

Keywords
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