Structure-controlled optical thermoresponse in Ruddlesden-Popper layered perovskites

Cortecchia, D.; Neutzner, S.; Yin, Jun; Salim, T.; Srimath Kandada, A. R.; Bruno, A.; Lam, Y. M.; Martí-Rujas, J.; Petrozza, A.; Soci, C.

Structure-controlled optical thermoresponse in Ruddlesden-Popper layered perovskites

Files

1.5045782.pdf (3.39 MB)

License

http://creativecommons.org/licenses/by/4.0/

Type

Article

Authors

Cortecchia, D.
Neutzner, S.
Yin, Jun

Salim, T.
Srimath Kandada, A. R.
Bruno, A.
Lam, Y. M.
Martí-Rujas, J.
Petrozza, A.
Soci, C.

KAUST Department

KAUST Solar Center (KSC)
Physical Science and Engineering (PSE) Division

Online Publication Date

2018-11-26

Print Publication Date

2018-11

Date

2018-11-26

Abstract

Ruddlesden-Popper perovskites are highly attractive for light-emitting and photonic applications. In these exceptionally deformable frameworks, structural properties strongly impact on the energetic landscape of the material; thus, it is crucial to establish a correlation between the structure and optoelectronic characteristics. Here, we study the structural transformations induced by phase transitions in the butylammonium-based series (BA)(MA)[PbI] (n = 1 and n = 2). We show how thermally driven lattice contraction and changes in crystal packing affect their characteristic absorption and photoluminescence. These findings provide new insights for functional perovskites’ rational design, highlighting the possibility to tune the structural properties through external stimuli to control their functionalities on-demand.

Citation

Cortecchia D, Neutzner S, Yin J, Salim T, Srimath Kandada AR, et al. (2018) Structure-controlled optical thermoresponse in Ruddlesden-Popper layered perovskites. APL Materials 6: 114207. Available: http://dx.doi.org/10.1063/1.5045782.

Acknowledgements

This work was supported by the Ministry of Education (Ref. Nos. MOE2016-T1-1-164 and MOE2011-T3-1-005) and the National Research Foundation (Ref. No. NRF-CRP14-2014-03) of Singapore. We thank the financial support from the EU Horizon 2020 Research and Innovation Programme under Grant Agreement N. 643238 (SYNCHRONICS). We also acknowledge the CARIPLO Foundation (IPER-LUCE No. 2015-0080) for funding. Computational work was supported by Supercomputing Laboratory at King Abdullah University of Science and Technology.