Source abstract
Abstract
Partial substitution of CH 3 NH 3 + with Cs + ions has been reported to suppress the iodide vacancy diffusion in methylammonium lead iodide (MAPI) and enhance its structural stability. However, the defect chemistry of partial cation-substituted MAPI, i.e., Cs x (CH 3 NH 3 ) 1– x PbI 3, and the effect of stoichiometry on the halide ion mobility have not been systematically investigated in the literature. Herein, classical force field-based atomistic simulations were performed to calculate the defect cluster binding energies and halide ion migration barriers in Cs x (CH 3 NH 3 ) 1– x PbI 3 for different Cs-doping concentrations, exhibiting a weak dependence on stoichiometry. Higher diffusion activation energy due to Cs doping results mainly from the long-range binding between I – vacancy clusters and Cs +, which reduces the concentration of mobile vacancies. Clusters of Cs + with up to 3 I – vacancies were found to be energetically stable with a binding energy of ∼0.2 eV at 6 Å from the Cs + defect center. Tilting and rotation of neighboring PbI 6 octahedra were also observed in doped MAPI, which causes a nonlocal strain in the crystal. Experimental characterization of Cs-doped MAPI solar cells confirmed the reduced hysteresis and its weaker dependence on Cs concentration along with higher activation energy of halide migration in Cs-doped MAPI. Time-resolved photoluminescence and thermal admittance spectroscopy tests also showed reduced defect density in the Cs-doped perovskite because of suppressed halide migration that leads to lower loss of halides. Weaker dependence of diffusion activation energy on the dopant concentration opens up the possibility for multication doping to further maximize the strain effect.
Source: openalex_inverted_index · Quality: baseline
Affiliations
Department of Metallurgical & Materials Engineering, Indian Institute of Technology, Roorkee 247667, Uttarakhand, India
Department of Sustainable Energy Engineering, Indian Institute of Technology, Kanpur 208016, Uttar Pradesh, India
Chandrakanta Kesavan Center for Energy Policy and Climate Solutions, Indian Institute of Technology, Kanpur 208016, Uttar Pradesh, India
Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology, Roorkee 247667, Uttarakhand, India
Funding
Department of Science and Technology, Ministry of Science and Technology