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Title: Machine Learning-Based Critical Heat Flux Predictors in Subcooled and Low-Quality Flow Boiling

Authors:
 [1]; ORCiD logo [2];  [1]
  1. Massachusetts Institute of Technology
  2. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1545239
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: Advances in Thermal Hydraulics 2018 (ATH 2018) - Orlando, Florida, United States of America - 11/11/2018 10:00:00 AM-11/15/2018 10:00:00 AM
Country of Publication:
United States
Language:
English

Citation Formats

Zhao, Xingang, Salko Jr, Robert, and Shirvan, K. Machine Learning-Based Critical Heat Flux Predictors in Subcooled and Low-Quality Flow Boiling. United States: N. p., 2018. Web.
Zhao, Xingang, Salko Jr, Robert, & Shirvan, K. Machine Learning-Based Critical Heat Flux Predictors in Subcooled and Low-Quality Flow Boiling. United States.
Zhao, Xingang, Salko Jr, Robert, and Shirvan, K. Thu . "Machine Learning-Based Critical Heat Flux Predictors in Subcooled and Low-Quality Flow Boiling". United States. https://www.osti.gov/servlets/purl/1545239.
@article{osti_1545239,
title = {Machine Learning-Based Critical Heat Flux Predictors in Subcooled and Low-Quality Flow Boiling},
author = {Zhao, Xingang and Salko Jr, Robert and Shirvan, K.},
abstractNote = {},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {11}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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