foundry-ml/dataset_metallicglass_dmax

Metallic Glasses and their Properties

Dataset containing experimental max casting diameters of 998 metallic glasses

Dataset Information

• Source: Foundry-ML
• DOI: 10.18126/fs5e-kr15
• Year: 2021
• Authors: Voyles, Paul M, Schultz, Lane E., Morgan, Dane, Francis, Carter, Afflerbach, Benjamin, Hakeem, Abdulrhman
• Data Type: tabular

Fields

Field	Role	Description	Units
Composition	input	Material composition
Reference	input	Original data reference
Tg_[K]	input	Glass transition temperature	K
Tx_[K]	input	Crystallization temperature	K
Tl_[K]	input	Liquidus temperature	K
Zmax_[mm]	input	Maximum casting size	mm
Dmax_[mm]	target	Maximum casting diameter	mm

Splits

• train: train

Usage

With Foundry-ML (recommended for materials science workflows)

from foundry import Foundry

f = Foundry()
dataset = f.get_dataset("10.18126/fs5e-kr15")
X, y = dataset.get_as_dict()['train']

With HuggingFace Datasets

from datasets import load_dataset

dataset = load_dataset("Dataset_metallicglass_Dmax")

Citation

@misc{https://doi.org/10.18126/fs5e-kr15
doi = {10.18126/fs5e-kr15}
url = {https://doi.org/10.18126/fs5e-kr15}
author = {Voyles, Paul M and Schultz, Lane E. and Morgan, Dane and Francis, Carter and Afflerbach, Benjamin and Hakeem, Abdulrhman}
title = {Metallic Glasses and their Properties}
keywords = {machine learning, foundry}
publisher = {Materials Data Facility}
year = {root=2021}}

License

other

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This dataset was exported from Foundry-ML, a platform for materials science datasets.