Revealing the Low-Temperature Phase of FAPbI3 Using a Machine-Learned Potential
Artikel i vetenskaplig tidskrift, 2025

Formamidinium lead iodide (FAPbI3) is a material of interest for its potential in solar cell applications, driven by its remarkable optoelectronic properties. However, the low-temperature phase of FAPbI3 remains poorly understood, with open questions surrounding its crystal structure, octahedral tilting, and arrangement of formamidinium (FA) cations. Using our trained machine-learned potential in combination with large-scale molecular dynamics (MD) simulations, we provide a detailed investigation of this phase, uncovering its structural characteristics and dynamical behavior. Our analysis reveals the octahedral tilt pattern and sheds light on the rotational dynamics of FA cations in the low-temperature phase. Strikingly, we find that the FA cations become frozen in a metastable configuration, unable to reach the thermodynamic ground state. By comparing our simulated results with experimental nuclear magnetic resonance (NMR) and inelastic neutron scattering (INS) spectra, we demonstrate good agreement, further validating our findings. This phenomenon mirrors experimental observations and offers a compelling explanation for the experimental challenges in accessing the true ground state. These findings provide critical insights into the fundamental physics of FAPbI3 and its low-temperature behavior, advancing our understanding of this important material.

Författare

Sangita Dutta

Chalmers, Fysik, Kondenserad materie- och materialteori

Erik Fransson

Chalmers, Fysik, Kondenserad materie- och materialteori

Tobias Hainer

Chalmers, Fysik, Kondenserad materie- och materialteori

Benjamin M. Gallant

University of Birmingham

Dominik J. Kubicki

University of Birmingham

Paul Erhart

Chalmers, Fysik, Kondenserad materie- och materialteori

Julia Wiktor

Chalmers, Fysik, Kondenserad materie- och materialteori

Journal of the American Chemical Society

0002-7863 (ISSN) 1520-5126 (eISSN)

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Ämneskategorier (SSIF 2025)

Atom- och molekylfysik och optik

Den kondenserade materiens fysik

Fysikalisk kemi

Styrkeområden

Nanovetenskap och nanoteknik

Infrastruktur

Chalmers e-Commons (inkl. C3SE, 2020-)

DOI

10.1021/jacs.5c05265

PubMed

40810555

Relaterade dataset

Revealing the Low Temperature Phase of FAPbI3 using A Machine-Learned Potential - Datasets [dataset]

DOI: 10.5281/zenodo.16805881 URI: https://zenodo.org/records/16805881

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Senast uppdaterat

2025-09-05