Open Access
RSC Advances, volume 14, issue 9, pages 6385-6397
Predicting band gaps of ABN3 perovskites: an account from machine learning and first-principle DFT studies
Publication type: Journal Article
Publication date: 2024-02-20
Journal:
RSC Advances
Quartile SCImago
Q1
Quartile WOS
Q2
SJR: 0.715
CiteScore: 7.5
Impact factor: 3.9
ISSN: 20462069
General Chemistry
General Chemical Engineering
Abstract
A combined machine learning and DFT studies in predicting band gaps of ABN3 perovskites.
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Ghosh S., Chowdhury J. Predicting band gaps of ABN3 perovskites: an account from machine learning and first-principle DFT studies // RSC Advances. 2024. Vol. 14. No. 9. pp. 6385-6397.
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Ghosh S., Chowdhury J. Predicting band gaps of ABN3 perovskites: an account from machine learning and first-principle DFT studies // RSC Advances. 2024. Vol. 14. No. 9. pp. 6385-6397.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1039/d4ra00402g
UR - https://xlink.rsc.org/?DOI=D4RA00402G
TI - Predicting band gaps of ABN3 perovskites: an account from machine learning and first-principle DFT studies
T2 - RSC Advances
AU - Ghosh, Swarup
AU - Chowdhury, Joydeep
PY - 2024
DA - 2024/02/20
PB - Royal Society of Chemistry (RSC)
SP - 6385-6397
IS - 9
VL - 14
SN - 2046-2069
ER -
Cite this
BibTex
Copy
@article{2024_Ghosh,
author = {Swarup Ghosh and Joydeep Chowdhury},
title = {Predicting band gaps of ABN3 perovskites: an account from machine learning and first-principle DFT studies},
journal = {RSC Advances},
year = {2024},
volume = {14},
publisher = {Royal Society of Chemistry (RSC)},
month = {feb},
url = {https://xlink.rsc.org/?DOI=D4RA00402G},
number = {9},
pages = {6385--6397},
doi = {10.1039/d4ra00402g}
}
Cite this
MLA
Copy
Ghosh, Swarup, and Joydeep Chowdhury. “Predicting band gaps of ABN3 perovskites: an account from machine learning and first-principle DFT studies.” RSC Advances, vol. 14, no. 9, Feb. 2024, pp. 6385-6397. https://xlink.rsc.org/?DOI=D4RA00402G.