TY - JOUR
T1 - Long-range order imposed by short-range interactions in methylammonium lead iodide
T2 - Comparing point-dipole models to machine-learning force fields
AU - Lahnsteiner, Jonathan
AU - Jinnouchi, Ryosuke
AU - Bokdam, Menno
N1 - Funding Information:
We appreciate discussions with Merzuk Kaltak and Peitao Liu in finalizing the manuscript. M.B. thanks Viktor Fournarakis and Lorenzo Papa for helpful discussions. Funding by the Austrian Science Fund (FWF): P 30316-N27 is gratefully acknowledged. Computations were performed on the Vienna Scientific Cluster VSC3. R.J. appreciates the financial support from Toyota Central R&D Labs., Inc.
Publisher Copyright:
© 2019 American Physical Society.
PY - 2019/9/12
Y1 - 2019/9/12
N2 - The crystal structure of the MAPbI3 hybrid perovskite forms an intricate electrostatic puzzle with different ordering patterns of the MA molecules at elevated temperatures. For this perovskite three published model Hamiltonians based on the point-dipole (pd) approximation combined with short-range effective interactions are compared to a recently developed machine-learning force field. A molecular order parameter is used to consistently compare the transformation of the antiferroelectric ordering in the orthorhombic phase upon raising the temperature. We show that the ground states and the order-disorder transition of the three models are completely different. Our analysis indicates that the long-range order in the low-temperature orthorhombic phase can be captured by pd-based models with a short cutoff radius, including the nearest and next-nearest neighbor molecules. By constructing effective atomic interactions the ordering can already be described within a 6 Å radius. By extracting the coupling energetics of the molecules from density functional theory calculations on MAxCs1-xPbI3 test systems, we show that the pd approximation holds at least for static structures. To improve the accuracy of the pd interaction an Ewald summation is applied combined with a distance dependent electronic screening function.
AB - The crystal structure of the MAPbI3 hybrid perovskite forms an intricate electrostatic puzzle with different ordering patterns of the MA molecules at elevated temperatures. For this perovskite three published model Hamiltonians based on the point-dipole (pd) approximation combined with short-range effective interactions are compared to a recently developed machine-learning force field. A molecular order parameter is used to consistently compare the transformation of the antiferroelectric ordering in the orthorhombic phase upon raising the temperature. We show that the ground states and the order-disorder transition of the three models are completely different. Our analysis indicates that the long-range order in the low-temperature orthorhombic phase can be captured by pd-based models with a short cutoff radius, including the nearest and next-nearest neighbor molecules. By constructing effective atomic interactions the ordering can already be described within a 6 Å radius. By extracting the coupling energetics of the molecules from density functional theory calculations on MAxCs1-xPbI3 test systems, we show that the pd approximation holds at least for static structures. To improve the accuracy of the pd interaction an Ewald summation is applied combined with a distance dependent electronic screening function.
UR - http://www.scopus.com/inward/record.url?scp=85072795882&partnerID=8YFLogxK
U2 - 10.1103/PhysRevB.100.094106
DO - 10.1103/PhysRevB.100.094106
M3 - Article
AN - SCOPUS:85072795882
VL - 100
JO - Physical review B: Covering condensed matter and materials physics
JF - Physical review B: Covering condensed matter and materials physics
SN - 2469-9950
IS - 9
M1 - 094106
ER -