Design of 2D Templating Molecules for Mixed-Dimensional Perovskite Light-Emitting Diodes

Autor: David Giovanni, Yan Fong Ng, Xin Yu Chin, Nripan Mathews, Yeow Boon Tay, Natalia Yantara, Nur Fadilah Jamaludin, Tze Chien Sum, Subodh Mhaisalkar, Benny Febriansyah
Přispěvatelé: School of Materials Science and Engineering, School of Physical and Mathematical Sciences, Interdisciplinary Graduate School (IGS), Energy Research Institute @ NTU (ERI@N)
Rok vydání: 2020
Předmět:
Zdroj: Chemistry of Materials. 32:8097-8105
ISSN: 1520-5002
0897-4756
DOI: 10.1021/acs.chemmater.0c00513
Popis: Recent advances in Ruddlesden–Popper (RP) perovskites have shown highly efficient light-emitting diodes (LEDs) due to the energy confinement by an energy cascade from the quasi-2D (donors) to 3D (acceptors) states. This is achieved by forming mixed-dimensional phases using 2D templating (spacer) molecules. The effect of the spacer molecular design on the efficacy of light emission is hitherto unknown, thus motivating this study into eight different spacer molecules ranging from the naphthyl to phenyl alkyl families. The phase distribution, which influences the resultant energy landscape, can simply be modulated by the choice of this spacer molecule. It was found that a high acceptor-to-donor ratio is required to achieve the best LED efficiencies. A simple absorption spectroscopy measurement can also be employed to screen potential RP systems. The findings are of significance to other halide perovskites and lay down a useful guideline to assess new spacer molecules for more efficient RP perovskite LEDs. Ministry of Education (MOE) National Research Foundation (NRF) Accepted version This research was supported by the National Research Foundation, Prime Minister’s Office, Singapore, under its Competitive Research Programme (CRP Award No. NRFCRP14- 2014-03) and Intra-CREATE Collaborative Grant (NRF2018-ITC001-001). T.C.S. and D.G. acknowledge the financial support from the Tier 2 grant MOE2017-T2-2-002; and from the Singapore National Research Foundation Investigatorship NRF-NRFI-2018-04.
Databáze: OpenAIRE