Litcius/Paper detail

Melting of charge order in the low-temperature state of an electronic ferroelectric-like system

Nora Hassan, Komalavalli Thirunavukkuarasu, Zhengguang Lu, Dmitry Smirnov, E. I. Zhilyaeva, С.А. Торунова, Rimma N. Lyubovskaya, Natalia Drichko

2020npj Quantum Materials26 citationsDOIOpen Access PDF

Abstract

Abstract Strong electronic interactions can drive a system into a state with a symmetry breaking. Lattice frustration or competing interactions tend to prevent symmetry breaking, leading to quantum disordered phases. In spin systems frustration can produce a spin liquid state. Frustration of a charge degree of freedom also can result in various exotic states, however, experimental data on these effects is scarce. In this work we demonstrate how in a Mott insulator on a weakly anisotropic triangular lattice a charge ordered state melts on cooling down to low temperatures. Raman scattering spectroscopy finds that $$\kappa$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>κ</mml:mi> </mml:math> -(BEDT-TTF) $${}_{2}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msub> </mml:math> Hg(SCN) $${}_{2}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mrow/> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msub> </mml:math> Cl enters an insulating “dipole solid” state at $$T=30\,{\mathrm{K}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>T</mml:mi> <mml:mo>=</mml:mo> <mml:mn>30</mml:mn> <mml:mspace/> <mml:mi>K</mml:mi> </mml:mrow> </mml:math> , but below $$T=15\,{\mathrm{K}}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>T</mml:mi> <mml:mo>=</mml:mo> <mml:mn>15</mml:mn> <mml:mspace/> <mml:mi>K</mml:mi> </mml:mrow> </mml:math> the order melts, while preserving the insulating energy gap. Based on these observations, we suggest a phase diagram relevant to other quantum paraelectric materials.

Topics & Concepts

AlgorithmMaterials scienceMachine learningPhysicsComputer scienceOrganic and Molecular Conductors ResearchAdvanced Condensed Matter PhysicsPerovskite Materials and Applications