4.6 Article

Design Principles of Large Cation Incorporation in Halide Perovskites

Journal

MOLECULES
Volume 26, Issue 20, Pages -

Publisher

MDPI
DOI: 10.3390/molecules26206184

Keywords

halide perovskites; photocatalyst; density functional theory; large cation; fluorinated cation; octahedral deformation; mixed cation; non-covalent interaction; Bayesian optimization

Funding

  1. Hamad Bin Khalifa University Vice President Office
  2. Qatar Environment and Energy Research Institute [NOMDEE]

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Perovskites have high efficiencies and stabilities achieved through cation mixing techniques, and the incorporation of large fluorinated organic cations is attractive for enhancing stability. This study investigates the intrinsic stability of mixed Methylammonium lead halides with different concentrations of large cation incorporation, narrowing down the search domain for optimal stable compositions. The automated workflow introduced in this work accelerates the compositional search for researchers, reducing computational costs and bias.
Perovskites have stood out as excellent photoactive materials with high efficiencies and stabilities, achieved via cation mixing techniques. Overcoming challenges to the stabilization of Perovskite solar cells calls for the development of design principles of large cation incorporation in halide perovskite to accelerate the discovery of optimal stable compositions. Large fluorinated organic cations incorporation is an attractive method for enhancing the intrinsic stability of halide perovskites due to their high dipole moment and moisture-resistant nature. However, a fluorinated cation has a larger ionic size than its non-fluorinated counterpart, falling within the upper boundary of the mixed-cation incorporation. Here, we report on the intrinsic stability of mixed Methylammonium (MA) lead halides at different concentrations of large cation incorporation, namely, ehtylammonium (EA; [CH3CH2NH3](+)) and 2-fluoroethylammonium (FEA; [CH2FCH2NH3](+)). Density functional theory (DFT) calculations of the enthalpy of the mixing and analysis of the perovskite structural features enable us to narrow down the compositional search domain for EA and FEA cations around concentrations that preserve the perovskite structure while pointing towards the maximal stability. This work paves the way to developing design principles of a large cation mixture guided by data analysis of DFT data. Finally, we present the automated search of the minimum enthalpy of mixing by implementing Bayesian optimization over the compositional search domain. We introduce and validate an automated workflow designed to accelerate the compositional search, enabling researchers to cut down the computational expense and bias to search for optimal compositions.

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