CoolFace
Datasetpublic

foundry-ml/dataset_perovskite_habs

Machine-Learning Assisted Screening Proton Conducting Co/Fe based Oxide for the Air Electrode of Protonic Solid Oxide Cell Dataset containing 795 perovskite H absorption data points Dataset Information Source: Foundry-ML DOI: 10.18126/zgzt-xr34 Year: 2023 Authors: Wang, Ning, Yuan, Baoyin, Zheng, Fangyuan, Mo, Shanyun, Zhang, Xiaohan, Du, Lei, Xing, Lixin, Meng, Ling, Zhao, Lei, Aoki, Yoshitaka, Tang, Chunmei, Ye, Siyu Data Type: tabular Fields… See the full description on the dataset page: https://huggingface.co/datasets/foundry-ml/dataset_perovskite_habs.

sourceHugging Faceotherupdated 9mo agoView on Hugging Face
0likes13downloads
Dataset Card

Machine-Learning Assisted Screening Proton Conducting Co/Fe based Oxide for the Air Electrode of Protonic Solid Oxide Cell

Dataset containing 795 perovskite H absorption data points

Dataset Information

  • —Source: Foundry-ML
  • —DOI: 10.18126/zgzt-xr34
  • —Year: 2023
  • —Authors: Wang, Ning, Yuan, Baoyin, Zheng, Fangyuan, Mo, Shanyun, Zhang, Xiaohan, Du, Lei, Xing, Lixin, Meng, Ling, Zhao, Lei, Aoki, Yoshitaka, Tang, Chunmei, Ye, Siyu
  • —Data Type: tabular

Fields

FieldRoleDescriptionUnits
CompositioninputMaterial composition
temperature_CinputTemperature of measurementdegC
pH2OinputH2O partial pressure
ReferenceinputOriginal data reference
proton_concentrationtargetConcentration of H in materialmole/(formula unit)

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/zgzt-xr34")
X, y = dataset.get_as_dict()['train']

With HuggingFace Datasets

python
from datasets import load_dataset

dataset = load_dataset("Dataset_perovskite_Habs")

Citation

bibtex
@misc{https://doi.org/10.18126/zgzt-xr34
doi = {10.18126/zgzt-xr34}
url = {https://doi.org/10.18126/zgzt-xr34}
author = {Wang, Ning and Yuan, Baoyin and Zheng, Fangyuan and Mo, Shanyun and Zhang, Xiaohan and Du, Lei and Xing, Lixin and Meng, Ling and Zhao, Lei and Aoki, Yoshitaka and Tang, Chunmei and Ye, Siyu}
title = {Machine-Learning Assisted Screening Proton Conducting Co/Fe based Oxide for the Air Electrode of Protonic Solid Oxide Cell}
keywords = {machine learning, foundry}
publisher = {Materials Data Facility}
year = {root=2023}}

License

other


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