Band Alignment in Quantum Wells from Automatically Tuned DFT+$U$
Grigory Kolesov, Chungwei Lin, Andrew Knyazev, Keisuke Kojima, Joseph, Katz, Koichi Akiyama, Eiji Nakai, Hiroyuki Kawahara

TL;DR
This paper introduces an automated DFT+U approach to accurately determine band alignments in quantum wells, balancing computational efficiency with experimental accuracy, applicable to complex alloys.
Contribution
The paper presents a novel automated method using DFT+U with tunable parameters to accurately predict band alignments in quantum wells, reducing computational costs.
Findings
Good agreement with experimental band offsets
Lattice relaxation effects are incorporated
Computational cost comparable to LDA
Abstract
Band alignment between two materials is of fundamental importance for multitude of applications. However, density functional theory (DFT) either underestimates the bandgap - as is the case with local density approximation (LDA) or generalized gradient approximation (GGA) - or is highly computationally demanding, as is the case with hybrid-functional methods. The latter can become prohibitive in electronic-structure calculations of supercells which describe quantum wells. We propose to apply the DFT method, with for each atomic shell being treated as set of tuning parameters, to automatically fit the bulk bandgap and the lattice constant, and then use thus obtained parameters in large supercell calculations to determine the band alignment. We apply this procedure to InP/InGaAs, InGaAs/InAlAs and InP/InAlAs…
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