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High Throughput Screening of Substrates for Synthesis and Functionalization of 2D Materials

Published

Author(s)

Arunima Singh, Albert Davydov, Kiran Mathew, Richard G. Hennig, Francesca M. Tavazza

Abstract

Several 2D materials have been synthesized experimentally, but many theoretically predicted 2D materials are yet to be synthesized. Here, we will review a density-functional theory based framework to enable high-throughput screening of suitable substrates for the stabilization and functionalization of 2D layers. A materials project based python tool, MPInterfaces, based on this framework, is being developed to automate the search of suitable substrates as well as to characterize their effect on the structural and electronic properties of 2D materials. Lattice-matching, symmetry-matching, substrate surface termination, configuration sampling, substrate induced structural distortion and doping estimation algorithms are being developed and will be described in this article. This computational tool will be employed to identify suitable substrates for scores of technologically relevant 2D materials, leading to acceleration of their synthesis and application, and more efficient use of experimental resources.
Volume
Proc. SPIE 9553
Conference Dates
August 9-14, 2015
Conference Location
San Diego, CA
Conference Title
SPIE

Keywords

Materials Genome Initiative, Substrates, 2D Materials, Functionalization, Growth, Density-Functional Theory

Citation

Singh, A. , Davydov, A. , , K. , Hennig, R. and Tavazza, F. (2015), High Throughput Screening of Substrates for Synthesis and Functionalization of 2D Materials, SPIE, San Diego, CA, [online], https://doi.org/10.1117/12.2192866 (Accessed May 21, 2024)

Issues

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Created August 26, 2015, Updated November 10, 2018