Open Access Article
This Open Access Article is licensed under a Creative Commons Attribution 3.0 Unported Licence
Correction: Exploring new approaches towards the formability of mixed-ion perovskites by DFT and machine learning
Heesoo
Park
*a,
Raghvendra
Mall
b,
Fahhad H.
Alharbi
ac,
Stefano
Sanvito
d,
Nouar
Tabet
ac,
Halima
Bensmail
b and
Fedwa
El-Mellouhi
*a
aQatar Environment and Energy Research Institute, Hamad Bin Khalifa University, PO Box 34110, Doha, Qatar. E-mail: hpark@hbku.edu.qa; felmellouhi@hbku.edu.qa
bQatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar
cCollege of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
dSchool of Physics, AMBER and CRANN Institute, Trinity College, Dublin 2, Ireland
First published on 18th January 2019
Abstract
Correction for ‘Exploring new approaches towards the formability of mixed-ion perovskites by DFT and machine learning’ by Heesoo Park et al., Phys. Chem. Chem. Phys., 2019, DOI: 10.1039/c8cp06528d.
The details for affiliation ‘c’ are incorrect in the published article. The correct affiliation is as shown below.
The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers.
| This journal is © the Owner Societies 2019 |