Glass Ternary High Throughput Data

dataset

posted on 2018-10-17, 23:39 authored by Fang Ren, Logan Ward, Travis Williams, Kevin J. Laws, Christopher Wolverton, Jason Hattrick-Simpers, Apurva Mehta, Hacking MaterialsHacking Materials

Metallic glass formation dataset for ternary alloys, collected from the high-throughput sputtering experiments measuring whether it is possible to form a glass using sputtering.

The hipt experimental data are of the Co-Fe-Zr, Co-Ti-Zr, Co-V-Zr and Fe-Ti-Nb ternary systems.

Available as Monty Encoder encoded JSON and as CSV. Recommended access method is with the matminer Python package using the datasets module.

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Dataset discussed in:

Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments

By Fang Ren, Logan Ward, Travis Williams, Kevin J. Laws, Christopher Wolverton, Jason Hattrick-Simpers, Apurva Mehta

Science Advances 13 Apr 2018 : eaaq1566

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Keywords

glass ternary matminer dataset high throughput high throughput sputtering metallic glass ternary alloys Synthesis of Materials Materials Engineering not elsewhere classified Theory and Design of Materials

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MIT

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