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Investigation of the inherent field-driven charge transport behaviour of 3D lead halide perovskites has largely remained a challenging task, owing primarily to undesirable ionic migration effects near room temperature. In addition, the…

Electronic structure methods offer in principle accurate predictions of molecular properties, however, their applicability is limited by computational costs. Empirical methods are cheaper, but come with inherent approximations and are…

Chemical Physics · Physics 2023-11-16 Moritz Thürlemann , Sereina Riniker

The accuracy of molecular simulations is fundamentally limited by the interatomic potentials that govern atomic interactions. Traditional potential development, which relies heavily on ab initio calculations, frequently struggles to…

Disordered Systems and Neural Networks · Physics 2025-10-16 Ruoxia Chen , Kai Yang , Morten M. Smedskjaer , N. M. Anoop Krishnan , Jaime Marian , Fabian Rosner

Instability of hybrid organic-inorganic halide perovskites hinders their development for photovoltaic applications. First-principle calculations are used for evaluation of a decomposition reaction enthalpy of hybrid halide perovskites,…

Materials Science · Physics 2017-06-19 Chao Zheng , Oleg Rubel

A key challenge for the practical application of metal halide perovskites (MHPs) is the instability of the desired perovskite phase relative to the optically non-active $\delta$ phase. To determine the phase stability, we previously…

Strongly correlated transition-metal perovskite oxides pose a fundamental challenge for electronic-structure theory and for large-scale, data-driven materials discovery. While DFT+DMFT provides a quantitatively accurate description of such…

Strongly Correlated Electrons · Physics 2026-05-19 Antik Sihi , Caden Ginter , Kristjan Haule , Subhasish Mandal

This work is aimed to study mixed-cation (hybrid methyl ammonium plus inorganic cations) halide perovskites using first principles Density Functional Theory (DFT) formalism in order to find their potential applications in perovskite based…

Materials Science · Physics 2021-10-19 Manaswita Kar

The spin crossover properties and the domains of existence of the different phases for the [Fe(PM-BIA)2(NCS)2] complex are obtained from combining DFT and classical molecular dynamics (MD). The potential energy surfaces expressed in the…

Materials Science · Physics 2015-06-12 A. Marbeuf , P. Négrier , S. F. Matar , L. Kabalan , J. F. Létard , P. Guionneau

Under external stimuli, lead halide perovskites exhibit large atomic fluctuations, impacting optical and electron transport properties that affect device performance in operational settings. However, a thorough understanding of the atomic…

Machine-learned force fields have generated significant interest in recent years as a tool for molecular dynamics (MD) simulations, with the aim of developing accurate and efficient models that can replace classical interatomic potentials.…

Machine Learning · Computer Science 2023-04-05 Shaswat Mohanty , Sanghyuk Yoo , Keonwook Kang , Wei Cai

Hybrid or metal organic framework (MOF) perovskites of general composition, ABX$_3$, are known to show interesting properties which can lead to variety of technological applications. Our first principles study shows they are also potential…

Materials Science · Physics 2016-09-06 Hrishit Banerjee , Sudip Chakraborty , Tanusri Saha-Dasgupta

The great tunability of the properties of halide perovskites presents new opportunities for optoelectronic applications as well as significant challenges associated with exploring combinatorial chemical spaces. In this work, we develop a…

Materials Science · Physics 2021-09-23 Arun Mannodi-Kanakkithodi , Maria K. Y. Chan

The mechanical properties of hybrid perovskite materials are important for device flexibility, resistance to fracture, epitaxial growth, surface energetics of quantum dots, and induction or relief of stress in thin films due to thermal…

Materials Science · Physics 2024-12-24 Kuntal Talit , David A. Strubbe

Lead halide perovskites (APbX$_3$) offer tunable optoelectronic properties but feature an intricate phase-stability landscape. Here we employ on-the-fly data collection and an equivariant message-passing neural-network potential to perform…

Materials Science · Physics 2025-07-11 Xia Liang , Johan Klarbring , Aron Walsh

The atomic scale dynamics of halide perovskites have a direct impact not only on their thermal stability but their optoelectronic properties. Progress in machine learned potentials has only recently enabled modeling the finite temperature…

Materials Science · Physics 2023-11-20 Erik Fransson , Julia Wiktor , Paul Erhart

Hybrid perovskites have been at the forefront of condensed matter research particularly in context of device applications primarily in relation to applications in the field of solar cells. In this article, we demonstrate that several new…

Materials Science · Physics 2022-04-04 Hrishit Banerjee , Angela Rittsteuer , Markus Aichhorn

High-pressure phases of the hybrid perovskite MAPbBr3 have been investigated in detail using a novel machine learning force field (MLFF). MLFF simulations successfully reproduce the sequence of pressure-induced phase transitions from the…

Materials Science · Physics 2025-11-21 Rashid Rafeek V Valappil , Sayan Maity , Varadharajan Srinivasan

Traditional force fields commonly use a combination of bonded torsional terms and empirically scaled non-bonded interactions to capture 1-4 energies and forces of atoms separated by three bonds in a molecule. While this approach can yield…

Halide perovskites are a promising class of materials for optoelectronic applications, due to their excellent optoelectronic performance. However, they suffer several dynamical degradation problems, the characterization of which is…

Materials Science · Physics 2021-11-01 Sander Raaijmakers , Mike Pols , José Manuel Vicent-Luna , Shuxia Tao

Understanding the phase behavior of mixed-cation halide perovskites is critical for optimizing their structural stability and optoelectronic performance. Here, we map the phase diagram of MA$_{1-x}$FA$_x$PbI$_3$ using a machine-learned…

Materials Science · Physics 2025-03-31 Tobias Hainer , Erik Fransson , Sangita Dutta , Julia Wiktor , Paul Erhart