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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… See the full description on the dataset page: https://huggingface.co/datasets/foundry-ml/dataset_metallicglass_dmax.

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Dataset Card

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

FieldRoleDescriptionUnits
CompositioninputMaterial composition
ReferenceinputOriginal data reference
Tg_[K]inputGlass transition temperatureK
Tx_[K]inputCrystallization temperatureK
Tl_[K]inputLiquidus temperatureK
Zmax_[mm]inputMaximum casting sizemm
Dmax_[mm]targetMaximum casting diametermm

Splits

  • train: train

Usage

With Foundry-ML (recommended for materials science workflows)

python
from foundry import Foundry

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

With HuggingFace Datasets

python
from datasets import load_dataset

dataset = load_dataset("Dataset_metallicglass_Dmax")

Citation

bibtex
@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


This dataset was exported from [Foundry-ML](https://github.com/MLMI2-CSSI/foundry), a platform for materials science datasets.