Data for: Predicting the thermodynamic stability of perovskite oxides using machine learning models

Main Author: Morgan, Dane
Other Authors: Li, Wei, Jacobs, Ryan
Format: Dataset
Terbitan: Mendeley , 2020
Subjects:
Online Access: https:/data.mendeley.com/datasets/dp45bdgddn
ctrlnum 0.17632-dp45bdgddn.1
fullrecord <?xml version="1.0"?> <dc><creator>Morgan, Dane</creator><title>Data for: Predicting the thermodynamic stability of perovskite oxides using machine learning models</title><publisher>Mendeley</publisher><description>Supplemental information for the paper: Predicting the thermodynamic stability of perovskite oxides using machine learning models. This contains the dataset of the stability data of over 1900 perovskite oxides and the source code for predicting the stability of new compositions. </description><subject>Density Functional Theory (DFT)</subject><subject>Machine Learning</subject><subject>Thermal Stability</subject><subject>Perovskites</subject><contributor>Li, Wei</contributor><contributor>Jacobs, Ryan</contributor><type>Other:Dataset</type><identifier>10.17632/dp45bdgddn.1</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/dp45bdgddn</relation><date>2020-03-31T17:55:18Z</date><date>2018-04-24T05:00:00Z</date><recordID>0.17632-dp45bdgddn.1</recordID></dc>
format Other:Dataset
Other
author Morgan, Dane
author2 Li, Wei
Jacobs, Ryan
title Data for: Predicting the thermodynamic stability of perovskite oxides using machine learning models
publisher Mendeley
publishDate 2020
topic Density Functional Theory (DFT)
Machine Learning
Thermal Stability
Perovskites
url https:/data.mendeley.com/datasets/dp45bdgddn
contents Supplemental information for the paper: Predicting the thermodynamic stability of perovskite oxides using machine learning models. This contains the dataset of the stability data of over 1900 perovskite oxides and the source code for predicting the stability of new compositions.
id IOS7969.0.17632-dp45bdgddn.1
institution Universitas Islam Indragiri
affiliation onesearch.perpusnas.go.id
institution_id 804
institution_type library:university
library
library Teknologi Pangan UNISI
library_id 2816
collection Artikel mulono
repository_id 7969
city INDRAGIRI HILIR
province RIAU
shared_to_ipusnas_str 1
repoId IOS7969
first_indexed 2020-04-08T08:20:21Z
last_indexed 2020-04-08T08:20:21Z
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