Publications by authors named "Andi Barbour"

Over the past decades, superconducting qubits have emerged as one of the leading hardware platforms for realizing a quantum processor. Consequently, researchers have made significant effort to understand the loss channels that limit the coherence times of superconducting qubits. A major source of loss has been attributed to two level systems that are present at the material interfaces.

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Fluctuations and stochastic transitions are ubiquitous in nanometre-scale systems, especially in the presence of disorder. However, their direct observation has so far been impeded by a seemingly fundamental, signal-limited compromise between spatial and temporal resolution. Here we develop coherent correlation imaging (CCI) to overcome this dilemma.

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The detection and manipulation of antiferromagnetic domains and topological antiferromagnetic textures are of central interest to solid-state physics. A fundamental step is identifying tools to probe the mesoscopic texture of an antiferromagnetic order parameter. In this work, we demonstrate that Bragg coherent diffractive imaging can be extended to study the mesoscopic texture of an antiferromagnetic order parameter using resonant magnetic x-ray scattering.

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Magnetic domains play a fundamental role in physics of magnetism and its technological applications. Dynamics of antiferromagnetic domains is poorly understood, although antiferromagnets are expected to be extensively used in future electronic devices wherein it determines the stability and operational speed. Dynamics of antiferromagnets also features prominently in the studies of topological quantum matter.

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Article Synopsis
  • Understanding the formation of charge and spin-ordered states in materials like La_{2-x}Sr_{x}NiO_{4+δ} is key to unraveling high-temperature superconductivity qualities.
  • Recent studies using x-ray photon correlation spectroscopy show that the spin order stripes in LSNO have slow dynamics and reveal that these domains are spatially anisotropic.
  • The fluctuations observed in the amplitude signal of the spin order stripes are linked to thermal fluctuations at the domain boundaries, suggesting a complex relationship between the dimensions and dynamics of the SO domains.
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  • X-ray photon correlation spectroscopy (XPCS) is affected by various noise types that can obscure important data about a sample's dynamics.
  • Researchers propose using convolutional neural network encoder-decoder models (CNN-ED) to improve the signal-to-noise ratio in two-time correlation functions by effectively removing random noise and enhancing data quality.
  • The study shows that CNN-ED models trained on real experimental data can accurately extract critical parameters related to the sample's equilibrium dynamics despite the presence of statistical noise and dynamic heterogeneities.
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Spin excitations of magnetic thin films are the founding element for magnetic devices in general. While spin dynamics have been extensively studied in bulk materials, the behaviour in mesoscopic films is less known due to experimental limitations. Here, we employ resonant inelastic X-ray scattering to investigate the spectrum of spin excitations in mesoscopic Fe films, from bulk-like films down to three unit cells.

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Article Synopsis
  • - The study focuses on charge density waves (CDWs) in cuprate high-temperature superconductors, examining the impact of disorder on these typically short-range phenomena.
  • - Using resonant X-ray diffraction on ZrTe, the researchers identified two distinct signals near the CDW transition temperature, which separate in momentum and exhibit different correlation lengths at lower temperatures.
  • - The findings reveal unique characteristics of both pristine and disordered CDWs, suggesting that Friedel oscillations could enhance CDW formation through a self-amplifying mechanism.
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Ru M-edge resonant inelastic x-ray scattering (RIXS) measurements of [Formula: see text] with 27 meV resolution reveals a spin-orbit exciton without noticeable splitting. We extract values for the spin-orbit coupling constant ([Formula: see text] meV) and trigonal distortion field energy ([Formula: see text] meV) which support the [Formula: see text] nature of [Formula: see text]. We demonstrate the feasibility of M-edge RIXS for 4d systems, which allows ultra high-resolution RIXS of 4d systems until instrumentation for L-edge RIXS improves.

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The metal-insulator phase transition in magnetite, known as the Verwey transition, is characterized by a charge-orbital ordering and a lattice transformation from a cubic to monoclinic structure. We use x-ray photon correlation spectroscopy to investigate the dynamics of this charge-orbitally ordered insulating phase undergoing the insulator-to-metal transition. By tuning to the Fe L_{3} edge at the (001/2) superlattice peak, we probe the evolution of the Fe t_{2g} orbitally ordered domains present in the low temperature insulating phase and forbidden in the high temperature metallic phase.

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A central characteristic of living beings is the ability to learn from and respond to their environment leading to habit formation and decision making. This behavior, known as habituation, is universal among all forms of life with a central nervous system, and is also observed in single-cell organisms that do not possess a brain. Here, we report the discovery of habituation-based plasticity utilizing a perovskite quantum system by dynamical modulation of electron localization.

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The applied potential dependent rate of atomic step motion of the Ag(001) surface in weak NaF electrolyte has been measured using a new extension of the technique of X-ray Photon Correlation Spectroscopy (XPCS). For applied potentials between hydrogen evolution and oxidation, the surface configuration completely changes on timescales of 10(2)-10(4) seconds depending upon the applied potential. These dynamics, directly measured over large areas of the sample surface simultaneously, are related to the surface energy relative to over or under potential.

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We developed a method for production of arrays of platinum nanocrystals of controlled size and shape using templates from ordered silica bead monolayers. Silica beads with nominal sizes of 150 and 450 nm were self-assembled into monolayers over strontium titanate single crystal substrates. The monolayers were used as shadow masks for platinum metal deposition on the substrate using the three-step evaporation technique.

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We observed an epitaxial, air-stable, partially registered (2 × 1) oxide bilayer on Pt (001) nanofacets [V. Komanicky, A. Menzel, K.

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Article Synopsis
  • The study examines how ethylene behaves on the surface of MgO(100) at low temperatures (83-135 K) and compares this to ethylene on graphite to understand film growth dynamics.
  • Layering transitions were observed, revealing three distinct adlayers form on MgO(100) below ethylene's bulk triple point, with specific temperatures for the onset of each layer.
  • Thermodynamic properties like enthalpy and entropy were calculated, suggesting similar molecular interactions between ethylene on both MgO and graphite, which influence the growth of thin ethylene films.
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