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foundry-ml/perovskite_opbandcenter_v1-1

Discovery and engineering of low work function perovskite materials Dataset containing DFT-calculated O p-band center energies for 2912 perovskite oxides Dataset Information Source: Foundry-ML DOI: 10.18126/f3p0-2c5f Year: 2022 Authors: Ma, Tianyu, Jacobs, Ryan, Booske, John, Morgan, Dane Data Type: tabular Fields Field Role Description Units Composition with sublattices input Material composition with brackets denoting differ… See the full description on the dataset page: https://huggingface.co/datasets/foundry-ml/perovskite_opbandcenter_v1-1.

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Discovery and engineering of low work function perovskite materials

Dataset containing DFT-calculated O p-band center energies for 2912 perovskite oxides

Dataset Information

  • —Source: Foundry-ML
  • —DOI: 10.18126/f3p0-2c5f
  • —Year: 2022
  • —Authors: Ma, Tianyu, Jacobs, Ryan, Booske, John, Morgan, Dane
  • —Data Type: tabular

Fields

FieldRoleDescriptionUnits
Composition with sublatticesinputMaterial composition with brackets denoting differ
CompositioninputMaterial composition
O pband (GGA+U)_[eV]targetDFT-GGA+U calculated O p-band center, referenced teV
O pband (GGA)_[eV]targetDFT-GGA calculated O p-band center, referenced toeV

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/f3p0-2c5f")
X, y = dataset.get_as_dict()['train']

With HuggingFace Datasets

python
from datasets import load_dataset

dataset = load_dataset("perovskite_opbandcenter_v1.1")

Citation

bibtex
@misc{https://doi.org/10.18126/f3p0-2c5f
doi = {10.18126/f3p0-2c5f}
url = {https://doi.org/10.18126/f3p0-2c5f}
author = {Ma, Tianyu and Jacobs, Ryan and Booske, John and Morgan, Dane}
title = {Discovery and engineering of low work function perovskite materials}
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.