journal article·2021-02-10Open access

Optimized structure and electronic band gap of monolayer GeSe from quantum Monte Carlo methods

Hyeondeok Shin, Jaron T. Krogel, Kevin Gasperich, Paul R. C. Kent, Anouar Benali, Olle Heinonen

Physical Review Materials· Volume 5· Issue 2

Abstract

We have used highly accurate quantum Monte Carlo methods to determine the chemical structure and electronic band gaps of monolayer GeSe. Two-dimensional (2D) monolayer GeSe has received a great deal of attention due to its unique thermoelectric, electronic, and optoelectronic properties with a wide range of potential applications. Density functional theory (DFT) methods have usually been applied to obtain optical and structural properties of bulk and 2D GeSe. For the monolayer, DFT typically yields a larger band-gap energy than for bulk GeSe but cannot conclusively determine if the monolayer has a direct or indirect gap. Moreover, the DFT-optimized lattice parameters and atomic coordinates for monolayer GeSe depend strongly on the choice of approximation for the exchange-correlation functional, which makes the ideal structure---and its electronic properties---unclear. In order to obtain accurate lattice parameters and atomic coordinates for the monolayer, we use a surrogate Hessian-based parallel line search within diffusion Monte Carlo to fully optimize the GeSe monolayer structure. The DMC-optimized structure is different from those obtained using DFT, as are calculated band gaps. The potential energy surface has a shallow minimum at the optimal structure. This, combined with the sensitivity of the electronic structure to strain, suggests that the optical properties of monolayer GeSe are highly tunable by strain.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: 2D Materials and Applications · Advanced Thermoelectric Materials and Devices · Chalcogenide Semiconductor Thin Films

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

Affiliations

Computational Science Division, Argonne National Laboratory, Argonne, Illinois 60439, USA

Material Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6494, USA

Leadership Computing Facility, Argonne National Laboratory, Argonne, Illinois 60439, USA

Computational Sciences and Engineering Division and Center for Nanophase Materials Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6494, USA

Material Science Division, Argonne National Laboratory, Argonne, Illinois 60439, USA

Funding

U.S. Department of Energy · Office of Science · Basic Energy Sciences · Division of Materials Sciences and Engineering

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