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Title: Computational Thermodynamic Approach to Predict CRUD Formation

Abstract

Generate an open aqueous database with aqueous species and precipitates for CRUD stability and exercise the database in thermochemical calculations to predict the solubility

Authors:
 [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Consortium for Advanced Simulation of LWRs (CASL)
Sponsoring Org.:
USDOE
OSTI Identifier:
1345780
Report Number(s):
ORNL/LTR-2016/323
NT0304000; NEAF343
DOE Contract Number:
AC05-00OR22725
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY

Citation Formats

Shin, Dongwon. Computational Thermodynamic Approach to Predict CRUD Formation. United States: N. p., 2016. Web. doi:10.2172/1345780.
Shin, Dongwon. Computational Thermodynamic Approach to Predict CRUD Formation. United States. doi:10.2172/1345780.
Shin, Dongwon. 2016. "Computational Thermodynamic Approach to Predict CRUD Formation". United States. doi:10.2172/1345780. https://www.osti.gov/servlets/purl/1345780.
@article{osti_1345780,
title = {Computational Thermodynamic Approach to Predict CRUD Formation},
author = {Shin, Dongwon},
abstractNote = {Generate an open aqueous database with aqueous species and precipitates for CRUD stability and exercise the database in thermochemical calculations to predict the solubility},
doi = {10.2172/1345780},
journal = {},
number = ,
volume = ,
place = {United States},
year = 2016,
month = 7
}

Technical Report:

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