Refractory Oxidation Database

By Saswat Mishra1; Sharmila Karumuri2; Vincent Joseph Mika1; Collin Conn Scott3; Michael S Titus1; Ilias Bilionis1; Alejandro Strachan1

1. Purdue University 2. PURDUE UNIVERSITY 3. Purdue Univeristy

Creates a database of refractory alloys oxidation

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Version 3.1 - published on 23 May 2024

doi:10.21981/5ECX-M502 cite this

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Abstract

This tool provides analyzes and indexes oxidation data (mass uptake vs. time) into a queryable database. The analysis consists of bayesian calibration and uses the bayesian information criteria to select the model that best describes the data.

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The US National Science Foundation, DMREF program under Contract No. 1922316-DMR

Cite this work

Researchers should cite this work as follows:

  • Saswat Mishra, Sharmila Karumuri, Vincent Joseph Mika, Collin Conn Scott, Michael S Titus, Ilias Bilionis, Alejandro Strachan (2024), "Refractory Oxidation Database," https://nanohub.org/resources/refoxdb. (DOI: 10.21981/5ECX-M502).

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Tags

  1. Bayesian calibration
  2. materials science
  3. oxidation