Synchrotron Diffraction and Composition Data Sets of Co-Fe-Zr Metallic Glasses

Fang, Ren; Mehta, Apurva; Williams, Travis; Hattrick-Simpers, Jason R

dc.contributor	Stanford Synchrotron Radiation Lightsource	en_US
dc.contributor	University of South Carolina	en_US
dc.contributor	National Institute of Standards and Technology	en_US
dc.contributor.author	Fang, Ren
dc.contributor.author	Mehta, Apurva
dc.contributor.author	Williams, Travis
dc.contributor.author	Hattrick-Simpers, Jason R
dc.contributor.other	jason.hattrick-simpers@nist.gov	en_US
dc.date.accessioned	2017-07-12T18:28:31Z
dc.date.available	2017-07-12T18:28:31Z
dc.date.issued	2017-07-12
dc.identifier.citation	Submitted	en_US
dc.identifier.uri	http://hdl.handle.net/11256/945
dc.description.abstract	The dataset summarizes a series of high-throughput studies on the Co-Fe-Zr metallic glass system with a total of 1323 unique alloys having been investigated. The primary goal of the work was to identify unsupervised techniques to permit on-line data analysis and design of experiments. The ultimate metric of interest was whether or not a particular alloy formed a metallic glass. A manuscript to appear in MRS Communications in 2017 contains the details of the experimental procedure.	en_US
dc.description.sponsorship	This work and the use of Stanford Synchrotron Lightsource (SSRL) were supported by United States Department of Energy, under the contract DE-AC02-76SF00515.	en_US
dc.description.uri	https://github.com/fang-ren/segmentation_CoFeZr	en_US
dc.rights	Attribution-NonCommercial-ShareAlike 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/3.0/us/	*
dc.subject	thin film; metallic glass; high-throughput; synchrotron; machine learning	en_US
dc.title	Synchrotron Diffraction and Composition Data Sets of Co-Fe-Zr Metallic Glasses	en_US
dc.type	Dataset	en_US