Strong electrostatic control of excitonic features in MoS$_2$ by a free-standing ultrahigh-$\kappa$ ferroelectric perovskite
Thomas Pucher, Sergio Puebla, Victor Zamora, Estrella S\'anchez Viso,, Victor Rouco, Carlos Leon, Mar Garcia-Hernandez, Jacobo Santamaria, Carmen, Munuera, Andres Castellanos-Gomez

TL;DR
This study demonstrates the electrostatic tuning of excitonic features in monolayer MoS$_2$ using a free-standing ferroelectric BaTiO$_3$ layer, enabling large, tunable shifts and hysteretic control of exciton and trion emissions at room temperature.
Contribution
It introduces a novel approach of integrating free-standing ferroelectric BaTiO$_3$ with MoS$_2$ for highly tunable and hysteretic excitonic control, surpassing traditional dielectric gating methods.
Findings
Large tunable exciton and trion emission shifts achieved.
Ferroelectric polarization induces significant doping effects.
Hysteretic behavior observed in excitonic features with ferroelectric switching.
Abstract
We present the electrostatic control of photoluminescence of monolayer MoS at room temperature via integration of free-standing BaTiO (BTO), a ferroelectric perovskite oxide, layers. We show that the use of BTO leads to highly tunable exciton emission of MoS in a minimal range of gate voltages, effectively controlling the neutral excitons to charged excitons (trions) conversion. Due to BTO's ferroelectric polarization-induced doping we observe large peak emission shifts as well as a large and tunable A trion binding energy in the range of 40-100 meV. To further investigate the efficacy of electrostatic control, we compared our measurements with those carried out when the BTO is replaced by a hexagonal boron nitride (hBN) dielectric layer of comparable thickness, confirming BTO's superior gating properties and thus lower power consumption. Additionally, we take advantage of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPerovskite Materials and Applications · Advanced Memory and Neural Computing · 2D Materials and Applications
