Understanding and Predicting Adsorption Energetics on Monolayer Transition Metal Dichalcogenides

ORAL

Abstract

Two-dimensional (2D) transition metal dichalcogenides (TMDs) have recently been shown to demonstrate non-volatile resistive switching (NVRS), offering significant advantages such as high-density integration and low energy consumption due to their atomic-scale thinness. In this study, we focus on the adsorption and desorption of metal adatoms, which can modulate the electrical resistivity by several orders of magnitude. We develop material-based relationships of the adsorption energy with electronic structure and atomic structure descriptors by examining the effects of various transition-metal adsorbates on the surface of TMDs. Our results reveal that adsorption energies of transition metals exhibit consistent trends across different TMDs (MoS2, MoSe2, WS2, WSe2), and can be explained using simple descriptors of the atomic and electronic structure. We propose several models to describe this adsorption process, providing a deeper understanding of a crucial step in the resistive switching mechanism based on formation and dissolution of point defects. Finally, we connect our computed adsorption energies to the switching energy. These findings will help guide rational materials selection for the development of NVRS devices using 2D TMDs.

*This research was primarily supported by the National Science Foundation through the Center for Dynamics and Control of Materials: an NSF MRSEC under Cooperative Agreement No. DMR-2308817. The authors acknowledge the Texas Advanced Computing Center (TACC) at The University of Texas atAustin (URL: http://www.tacc.utexas.edu) for HPC resources.

Publication: B. Lee, J. Fatheema, D. Akinwande, and W. Wang, Understanding and Predicting Adsorption Energetics on Monolayer Transition Metal Dichalcogenides, arXiv:2410.07469.

Presenters

  • Brian Lee

    • University of Texas at Austin

Authors

  • Brian Lee

    • University of Texas at Austin
  • Jameela Fatheema

    • University of Texas at Austin
  • Deji Akinwande

    • University of Texas at Austin
  • Wennie Wang

    • University of Texas at Austin