Linking stability with molecular geometries of perovskites and lanthanide richness using machine learning methods

Name: Linking stability with molecular geometries of perovskites and lanthanide richness using machine learning methods
Creator: Sampreeti Bhattacharya
Published: 2023-04-17T07:20:31.071Z
Keywords: Machine Learning, Perovskites

Bhattacharya, Sampreeti; Roy, Arkaprava

doi:10.17632/942x6tz76d.1

Linking stability with molecular geometries of perovskites and lanthanide richness using machine learning methods

Published: 17 April 2023| Version 1 | DOI: 10.17632/942x6tz76d.1

Contributors:

Sampreeti Bhattacharya, Arkaprava Roy

Description

The file includes code and the required data for submission. The instructions for running the code are described in the Readme.docx file in the zip file.

Files

Steps to reproduce

Steps to reproduce is included in the Readme.docx file in the zip file.

Institutions

University of Florida, University of North Carolina at Chapel Hill

Linking stability with molecular geometries of perovskites and lanthanide richness using machine learning methods

Description

Files

Steps to reproduce

Institutions

Categories

Licence