Exploring the optoelectronic properties and the machine learning driven impact of the hole transport layer on lead-free Ca <sub>3</sub> PCl <sub>3</sub> perovskite solar cells

This study investigates cubic Ca 3 PCl 3 perovskite for photovoltaics using DFT and SCAPS-1D. With P3HT as HTL, 24.89% efficiency was achieved. A random forest model with SHAP analysis identified key factors, with an R 2 of ~0.84.

Authors

Institutions

Publication Details

Journal
New Journal of Chemistry
Published
2025-01-01
DOI
https://doi.org/10.1039/d5nj01856k
Citations
5
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
3.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the optoelectronic properties and the machine learning driven impact of the hole transport layer on lead-free Ca 3 PCl 3 perovskite solar cells

Avijit Ghosh, Aboud Ahmed Awadh Bahajjaj, Subrata Sarker, Nondon Lal Dey et al.
5 citations
New Journal of Chemistry
Perovskite Materials and Applications
3.65
article

Exploring the optoelectronic properties and the machine learning driven impact of the hole transport layer on lead-free Ca 3 PCl 3 perovskite solar cells

Avijit Ghosh, Aboud Ahmed Awadh Bahajjaj, Subrata Sarker, Nondon Lal Dey, Mahbuba Moumita, Kutub Uddin Apu, Asadul Islam Shimul
article en
5 citations

Abstract

This study investigates cubic Ca 3 PCl 3 perovskite for photovoltaics using DFT and SCAPS-1D. With P3HT as HTL, 24.89% efficiency was achieved. A random forest model with SHAP analysis identified key factors, with an R 2 of ~0.84.

New Journal of ChemistryVol. 49(33)
Gopalganj Science and Technology University (BD), Begum Rokeya University (BD), Lamar University (US), University of Louisiana at Lafayette (US), King Khalid University (SA)
Openalex Percentile: Top 7%
Perovskite Materials and Applications
3.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Exploring the optoelectronic properties and the machine learning driven impact of the hole transport layer on lead-free Ca <sub>3</sub> PCl <sub>3</sub> perovskite solar cells — Avijit Ghosh, Aboud Ahmed Awadh Bahajjaj, et al. · New Journal of Chemistry (2025) | TGRS Research Map | TGRS