Skip to main content
SpringerLink
Log in

Machine-learning-accelerated selection of perovskite passivants

  • Research Briefing
  • Published:

From Nature Materials

View current issue Submit your manuscript

The discovery of passivating agents for perovskite photovoltaics can be an arduous and time-consuming process. Now, a machine-learning model is reported that accelerates the selection of bifunctional pseudo-halide passivators. The identified pseudo-halide passivators were experimentally shown to enhance the performance of perovskite solar cells.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1: Relationship between the chemical structure of PH anions and their passivation ability.

References

  1. Lee, J.-W., Tan, S., Seok, S. I., Yang, Y. & Park, N.-G. Rethinking the A cation in halide perovskites. Science 375, eabj1186 (2022). A review article that presents the role of the A cation in the regulation of the optoelectronic properties of organic–inorganic lead halide perovskites.

    Article  CAS  Google Scholar 

  2. Azmi, R. et al. Damp heat-stable perovskite solar cells with tailored-dimensionality 2D/3D heterojunctions. Science 376, 73–77 (2022). This paper shows that tailoring the dimensionality of the 2D perovskite passivation layer is a promising approach to achieve heat-stable inverted PSCs.

    Article  CAS  Google Scholar 

  3. Jeong, J. et al. Pseudo-halide anion engineering for α-FAPbI3 perovskite solar cells. Nature 592, 381–385 (2021). This paper introduces an anion engineering concept that uses formate to passivate anion-vacancy defects in perovskites.

    Article  CAS  Google Scholar 

  4. Bu, T. et al. Lead halide-templated crystallization of methylamine-free perovskite for efficient photovoltaic modules. Science 372, 1327–1332 (2021). This paper shows that the addition of KPF6 eliminated hysteresis and promoted long-term thermal stability in PSCs.

    Article  CAS  Google Scholar 

  5. Xiao, K. et al. All-perovskite tandem solar cells with 24.2% certified efficiency and area over 1 cm2 using surface-anchoring zwitterionic antioxidant. Nat. Energy 5, 870–880 (2020). This paper presents the potential of zwitterionic agents in passivating surface defects.

    Article  Google Scholar 

Download references

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This is a summary of: Xu, J. et al. Anion optimization for bifunctional surface passivation in perovskite solar cells. Nat. Mater. https://doi.org/10.1038/s41563-023-01705-y (2023).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Machine-learning-accelerated selection of perovskite passivants. Nat. Mater. 22, 1449–1450 (2023). https://doi.org/10.1038/s41563-023-01711-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41563-023-01711-0

  • Springer Nature Limited

Search

Navigation