MRS Meetings and Events

 

EL02.07.02 2023 MRS Spring Meeting

From Composition to Composite Design—Chemical Tricks that Stabilize Halide Perovskites

When and Where

Apr 12, 2023
1:30pm - 2:00pm

Moscone West, Level 3, Room 3002

Presenter

Co-Author(s)

Shijing Sun1

Toyota Research Institute1

Abstract

Shijing Sun1

Toyota Research Institute1
Despite the outstanding optoelectronic properties of hybrid organic-inorganic perovskites (HOIPs), prototypical halide perovskites, such as methylammonium lead iodide (MAPbI<sub>3</sub>, MA = CH<sub>3</sub>NH<sub>3</sub>), suffer from poor environmental stability. From ionic substitutions at an atomic level to post-synthesis treatment at a microscopic level, there has been intensive research in the community of materials chemistry to increase the structural and chemical stability of MAPbI<sub>3</sub>. However, obstacles exist efficiently navigating this large and complex materials design space. A question that often gets asked is: how far can we extend the stability lifetime of a perovskite photoactive material, without lowering its optoelectronic performance?<br/><br/>In this talk, I will demonstrate three distinct approaches to delay the onset of HOIP degradation and discuss their relative advantages and disadvantages in perovskite electronics applications. I will start by discussing how stability changes non-linearly as a result of composition engineering in a combinatorial space, where the MA ions in MAPbI<sub>3</sub> are partially replaced by less volatile cations such as Cs and formamidinium.[1] Without modifications on the MAPbI<sub>3</sub> lattice, I will then move to capping methods, where a capping layer serves the dual function of forming a protective layer against oxygen and water, as well as improving the interface passivation.[2] I will then share our most recent findings in additive engineering, where porous organic cage molecules were introduced for the first time in perovskite films, forming perovskite-cage composites that show remarkable resistances to high humidity and temperature.[3] I will end my talk by briefly mentioning the role of machine learning in helping guide the experimental exploration of materials design and optimization in our projects.<br/><br/>[1] Sun et al., Matter, 2021, 4, 1305-1322<br/>[2] Hartono et al., J. Mater. Chem. A, 2022, 6, 2957-2965<br/>[3] Sun et al., Chem. Mater. 2022, accepted manuscript<b> </b>

Keywords

perovskites

Symposium Organizers

Robert Hoye, Imperial College London
Maria Antonietta Loi, University of Groningen
Xuedan Ma, Argonne National Laboratory
Wanyi Nie, Los Alamos National Laboratory

Publishing Alliance

MRS publishes with Springer Nature