Abstract
CuInP2S6 (CIPS), a layered van der Waals material, has been regarded as a promising candidate for realizing two-dimensional (2D) ferroelectrics. However, its high mobility of Cu ions makes it challenging to achieve precise domain control and obtain high Curie temperature (TC). In this collaborative work, we find that placing CIPS on PbTiO3 (PTO) substrate is helpful to overcome these challenges. Employing first-principles density functional theory calculation of monolayer CIPS on PTO substrate, we find that accumulated charges on the PTO surface provide an intrinsic field that tilts the free energy well of CIPS and help promote the polar alignment in CIPS. Meanwhile, the PTO substrate modulates the atomic structure of CIPS and increases the energy barrier for switching polarization. As a result, the Monte Carlo (MC) simulation shows that the Curie temperature is significantly increased from 400 K to 650 K. These theoretical calculations agree with experimental measurements. This study points to a new strategy to engineer the nanoscale domain structure and piezoelectricity of the 2D ferroelectrics for technological implementation, such as nonvolatile memories, nanoelectronics and optoelectronics.
*This work was primarily supported by the National Science Foundation (NSF) through Grant Numbers DMR-1710461, OIA-2044049, and DMR-2118828. The research was performed in part in the Nebraska Nanoscale Facility: National Nanotechnology Coordinated Infrastructure and the Nebraska Center for Materials and Nanoscience, which are supported by the National Science Foundation under Award No. ECCS: 2025298, and the Nebraska Research Initiative. D.L. is supported by the NSF through the Grant Number DMR-2118779, and L.Y. is supported by the NSF through the Grant No. DMR-2124934. The computational resources are provided by the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation (NSF) Grant No. ACI-1548562. D.L. and L.Y. acknowledge the Texas Advanced Computing Center (TACC) at The University of Texas at Austin for providing HPC resources.