Deep data mining in a real space: Separation of intertwined electronic responses in a lightly-doped BaFe2As2

Abstract

Electronic interactions present in material compositions close to the superconducting dome play a key role in the manifestation of high-Tc superconductivity. In many correlated electron systems, however, the parent or underdoped states exhibit strongly inhomogeneous electronic landscape at the nanoscale that may be associated with competing, coexisting, or intertwined chemical disorder, strain, magnetic, and structural order parameters. Here we demonstrate an approach based on a combination of scanning tunneling microscopy/spectroscopy (STM/S) and advanced statistical learning for an automatic separation and extraction of statistically significant electronic behaviors in the spin density wave (SDW) regime of a lightly (~1%) gold-doped BaFe2As2. We show that the decomposed STS spectral features have a direct relevance to fundamental physical properties of the system, such as SDW-induced gap, pseudogap-like state, and impurity resonance states.

References in corpus (23)

• Superconductivity in Iron Compounds
• Observation of Electron-Hole Puddles in Graphene Using a Scanning Single Electron Transistor
• Scanning tunneling spectroscopy of high-temperature superconductors
• The missing atom as a source of carbon magnetism
• Origin of Spatial Charge Inhomogeneity in Graphene
• Visualizing pair formation on the atomic scale in the high-Tc superconductor Bi2Sr2CaCu2O8+d
• Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery
• Spatial Fluctuations of Helical Dirac Fermions on the Surface of Topological Insulators
• Phase instability induced by polar nanoregions in a relaxor ferroelectric system
• Inherent Inhomogeneities in Tunneling Spectra of BSCCO Crystals in the Superconducting State
• Electronic Origin of the Inhomogeneous Pairing Interaction in the High-Tc Superconductor Bi2Sr2CaCu2O8+d
• Spectroscopic scanning tunneling microscopy insights into Fe-based superconductors
• Visualization of Electron Nematicity and Unidirectional Antiferroic Fluctuations at High Temperatures in NaFeAs
• Approaching Zero-Temperature Metallic States in Mesoscopic Superconductor-Normal-Superconductor Arrays
• 19-F NMR Investigation of Iron-pnictide Superconductor LaFeAsO(0.89)F(0.11)
• Inhomogeneous superconductivity and the "pseudogap state of novel superconductors
• Fermi surface dichotomy of the superconducting gap and pseudogap in underdoped pnictides
• Surface Geometric and Electronic Structure of BaFe2As2(001)
• Dynamic competition between spin density wave order and superconductivity in underdoped $B{a}_{1-x}{K}_{x}F{e}_{2}A{s}_2$
• Local inhomogeneity and filamentary superconductivity in Pr-doped CaFe${}_2$As${}_2$
• Evolution from unconventional spin density wave to superconductivity and a novel gap-like phase in NaFe1-xCoxAs
• Quasiparticle states around a nonmagnetic impurity in electron-doped iron-based superconductors with spin-density-wave order
• Role of Magnetism in Superconductivity of BaFe2As2: Study of 5d Au-doped Crystals

Cited by in corpus (6)

• Machine learning modeling of superconducting critical temperature
• Machine Learning for Quantum Matter
• Unsupervised machine learning of topological phase transitions from experimental data
• Improving quantum-transition temperatures in BaFe2As2-based crystals by removing local-lattice strain & electronic-structure disorder
• Machine Learning Identification of Impurities in the STM Images
• Atomic-scale analysis of disorder by similarity learning from tunneling spectroscopy