Design guidance and band gap prediction of two-dimensional hybrid organic-inorganic perovskites by ensemble learning and graph convolutional neural networks

Q: What type of study is this?

This is a Quantitative Study study.

Jianfei Liu; Xia Cai; Lin Wang; Yiqiang Zhan

doi:10.1039/d5dd00163c

January 1, 2025Digital DiscoveryOpen Access

Design guidance and band gap prediction of two-dimensional hybrid organic-inorganic perovskites by ensemble learning and graph convolutional neural networks

View Full Paper

Ask AI

Bookmark

Share

Key Points

Ensemble learning techniques enhance the prediction of band gaps in novel materials.
Graph convolutional neural networks are used to model the properties of two-dimensional hybrid organic-inorganic perovskites.
Findings suggest improvements in environmental stability of perovskite solar cells.
The research highlights guidelines for designing and optimizing two-dimensional hybrid organic-inorganic perovskites.

Implication

Analysis predicts band gap in two-dimensional hybrid organic-inorganic perovskites using ensemble learning, indicating enhanced solar cell stability.

Abstract

Two-dimensional (2D) hybrid organic-inorganic perovskites (HOIPs) are promising materials for addressing the stability challenges in perovskite solar cells due to their exceptional environmental stability, exciton dynamics, and broad-band emission. However,...

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Liu et al. (2025) studied this question.

synapsesocial.com/papers/68d4508931b076d99fa58705 https://doi.org/10.1039/d5dd00163c

View Full Paper

Ask AI

Bookmark

Share

Design guidance and band gap prediction of two-dimensional hybrid organic-inorganic perovskites by ensemble learning and graph convolutional neural networks

Key Points

Implication

Abstract

Discussion

Cite This Study

Design guidance and band gap prediction of two-dimensional hybrid organic-inorganic perovskites by ensemble learning and graph convolutional neural networks

Key Points

Implication

Abstract

Discussion

Cite This Study

Keep reading

Keep reading