Abstract
Two-dimensional (2D) hybrid organic-inorganic perovskites are potentially promising materials as passivation layers that can enhance the efficiency and stability of perovskite photovoltaics. The ability to suppress ion transport has been proposed as a stabilization mechanism, yet effective characterization of relevant modes of halide diffusion in 2D perovskites is nascent. In light of this knowledge gap, we combine molecular dynamics simulations with enhanced sampling and experimental validation to systematically characterize how ligand chemistry in seven (R-NH3)2PbI4 systems impacts halide diffusion, particularly in the out-of-plane direction. We find that increasing stiffness and length of ligands generally inhibits ion transport, while increasing ligand polarization generally enhances it. Structural and energetic analyses of the migration pathways provide quantitative explanations for these trends, which reflect aspects of the disorder of the organic layer. Overall, this mechanistic analysis greatly enhances the current understanding of halide migration in 2D hybrid organic-inorganic perovskites and yields insights that can inform the design of future passivation materials.
Supplementary materials
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Supporting Information
Description
Force Field Parameters;
Equilibrated Structure Results;
Vacancy Selection;
Umbrella Sampling Statistics;
Path Independence;
Device Preparation;
Film Characterization;
Conductivity Measurements;
Calculated Free Activation Energies;
In-plane Free Energy Curves;
Error Calculations;
Statistical Analysis of Diffusion Pathways;
Bulkiness Metric;
Ligand Charge Distribution of HA and PEA; and
Quantitative Analysis of RDF Peaks.
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Example LAMMPS scripts
Description
Here we provide all the input files to reproduce all the data for the HAPI system.
The directories are divided into the three steps: equilibration (equil), steered molecular dynamics (smd) and umbrella sampling (umbrella).
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Data files for radial distribution functions
Description
Here we provide the raw data files for plotting or analyzing radial distribution functions.
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