ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Exploring Librational Pathways with on-the-Fly Machine-Learning Force Fields: Methylammonium Molecules in MAPbX3(X = I, Br, Cl) Perovskites

Bokdam, M and Lahnsteiner, J and Sarma, DD (2021) Exploring Librational Pathways with on-the-Fly Machine-Learning Force Fields: Methylammonium Molecules in MAPbX3(X = I, Br, Cl) Perovskites. In: Journal of Physical Chemistry C, 125 (38). pp. 21077-21086.

[img]
Preview
PDF
jol_phy_che_125-38_21077-21086_2021.pdf - Published Version

Download (2MB) | Preview
Official URL: https://doi.org/10.1021/acs.jpcc.1c06835

Abstract

Two seemingly similar crystal structures of the low-temperature (∼100 K) MAPbX3(X = I, Br, Cl) perovskites, but with different relative methylammonium (MA) ordering, have appeared as representatives of this orthorhombic phase. Distinguishing them by X-ray diffraction experiments is difficult, and conventional first-principles-based molecular dynamics approaches are often too computationally intensive to be feasible. Therefore, to determine the thermodynamically stable structure, we use a recently introduced on-the-fly machine-learning force field method, which reduces the computation time from years to days. The molecules exhibit a large degree of anharmonic motion depending on temperature: that is, rattling, twisting, and tumbling. We observe the crystal’s “librational pathways” while slowly heating it in isothermal-isobaric simulations. Marked differences in the thermal evolution of structural parameters allow us to determine the real structure of the system via a comparison with experimentally determined crystal structures.

Item Type: Journal Article
Publication: Journal of Physical Chemistry C
Publisher: American Chemical Society
Additional Information: The copyright for this article belongs to the Authors.
Keywords: Crystal structure; Machine learning; Molecular dynamics; Molecules; Temperature, Crystals structures; Dynamic approaches; First principles; Forcefields; Lows-temperatures; Machine-learning; Orthorhombic phase; Stable structures; Thermodynamically stable; X- ray diffractions, Perovskite
Department/Centre: Division of Chemical Sciences > Solid State & Structural Chemistry Unit
Date Deposited: 06 Jun 2023 08:42
Last Modified: 06 Jun 2023 08:42
URI: https://eprints.iisc.ac.in/id/eprint/81773

Actions (login required)

View Item View Item