journal article·2025-02-21Open access

Flexible and efficient semiempirical DFTB parameters for electronic structure prediction of 3D, 2D iodide perovskites and heterostructures

Junke Jiang, Tammo van der Heide, Simon Thébaud, Carlos Raúl Lien-Medrano, Arnaud Fihey, Laurent Pedesseau, Claudio Quarti, Marios Zacharias, George Volonakis, Mikael Kepenekian, Bálint Aradi, Michael A. Sentef, Jacky Even, Claudine Katan

Physical Review Materials· Volume 9· Issue 2

Abstract

Density Functional Tight Binding (DFTB), an approximative approach derived from Density Functional Theory (DFT), has the potential to pave the way for simulations of large periodic or nonperiodic systems. We have specifically tailored DFTB parameters to enhance the accuracy of electronic band gap calculations in both three-dimensional and two-dimensional lead-iodide perovskites, at a significantly reduced computational cost relative to state-of-the-art ab initio calculations. Our electronic DFTB parameters allow computing not only the band gap but also effective masses of perovskite materials with reasonable accuracy compared to existing experimental data and state-of-the-art DFT calculations. The electronic band structures of vacancy-ordered and lead- and iodide-deficient perovskites are also explored. Additionally, we demonstrate the efficiency of DFTB in computing electronic band alignments in perovskite heterostructures. The DFTB-based approach is anticipated to be beneficial for studying large-scale systems such as heterostructures and nanocrystals.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Perovskite Materials and Applications · Magnetic and transport properties of perovskites and related materials · Advanced Condensed Matter Physics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Univ Rennes

INSA

CNRS

Institut FOTON

University of Bremen

ENSCR

ISCR

University of Mons

Max Planck Institute for the Structure and Dynamics of Matter

Funding

Agence Nationale de la Recherche · Horizon 2020 · European Commission · Institut Universitaire de France · Grand Équipement National De Calcul Intensif · Deutsche Forschungsgemeinschaft

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