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foundry-ml/superconductivity_v1-1

Machine learning modeling of superconducting critical temperature Dataset containing experimentally measured superconducting critical temperatures for 16414 materials Dataset Information Source: Foundry-ML DOI: 10.18126/xlfr-hjrn Year: 2022 Authors: Stanev, Valentin, Oses, Corey, Kusne, A. Gilad, Rodriguez, Efrain, Paglione, Johnpierre, Curtarolo, Stefano, Takeuchi, Ichiro Data Type: tabular Fields Field Role Description Units name… See the full description on the dataset page: https://huggingface.co/datasets/foundry-ml/superconductivity_v1-1.

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Machine learning modeling of superconducting critical temperature

Dataset containing experimentally measured superconducting critical temperatures for 16414 materials

Dataset Information

  • —Source: Foundry-ML
  • —DOI: 10.18126/xlfr-hjrn
  • —Year: 2022
  • —Authors: Stanev, Valentin, Oses, Corey, Kusne, A. Gilad, Rodriguez, Efrain, Paglione, Johnpierre, Curtarolo, Stefano, Takeuchi, Ichiro
  • —Data Type: tabular

Fields

FieldRoleDescriptionUnits
nameinputMaterial composition
TctargetExperimental superconducting critical temperatureK

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/xlfr-hjrn")
X, y = dataset.get_as_dict()['train']

With HuggingFace Datasets

python
from datasets import load_dataset

dataset = load_dataset("superconductivity_v1.1")

Citation

bibtex
@misc{https://doi.org/10.18126/xlfr-hjrn
doi = {10.18126/xlfr-hjrn}
url = {https://doi.org/10.18126/xlfr-hjrn}
author = {Stanev, Valentin and Oses, Corey and Kusne, A. Gilad and Rodriguez, Efrain and Paglione, Johnpierre and Curtarolo, Stefano and Takeuchi, Ichiro}
title = {Machine learning modeling of superconducting critical temperature}
keywords = {machine learning, foundry}
publisher = {Materials Data Facility}
year = {root=2022}}

License

CC-BY 4.0

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