fig11

Machine learning-enabled optoelectronic material discovery: a comprehensive review

Figure 11. (A) Schematic representation of organic-inorganic hybrid semiconductors. Hybrid semiconductors can be divided into type I, HISSs, and type II, HHSs. Among the HOIPs, 2D Ruddlesden-Popper layered perovskite has common features of type I and II; (B) Tetrahedral bonding HHSs investigated are classified as type II. The GaAs-based HHSs in different phases with different numbers of inorganic semiconductor sublayers are shown as instances. Copyright 2022, American Chemical Society, Reproduced with permission[148]; (C) The framework for screening DHOIPs by combining ML models and DFT calculations. Copyright 2022, Royal Society of Chemistry, Reproduced with permission[149]. HISSs: Hybrid ion-substituting semiconductors; HHSs: hybrid heterostructure semiconductors; HOIPs: hybrid organic-inorganic perovskites; 2D: two-dimensional; DHOIPs: double hybrid organic-inorganic perovskites; ML: machine learning; DFT: density functional theory.

Journal of Materials Informatics
ISSN 2770-372X (Online)
Follow Us

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/