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Observation of antiferromagnetic correlations in the Hubbard model with ultracold atoms
Ultracold atoms in optical lattices have great potential to contribute to a better understanding of some of the most important issues in many-body physics, such as high-temperature superconductivity.Expand
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First-order isostructural Mott transition in highly compressed MnO.
We present evidence for an isostructural, first-order Mott transition in MnO at 105+/-5 GPa, based on high-resolution x-ray emission spectroscopy and angle-resolved x-ray diffraction data. TheExpand
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Mott domains of bosons confined on optical lattices.
In the absence of a confining potential, the boson-Hubbard model exhibits a superfluid to Mott insulator quantum phase transition at commensurate fillings and strong coupling. We use quantum MonteExpand
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Local quantum criticality in confined fermions on optical lattices.
Using quantum Monte Carlo simulations, we show that the one-dimensional fermionic Hubbard model in a harmonic potential displays quantum critical behavior at the boundaries of a Mott-insulatingExpand
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Numerical Methods for Quantum Monte Carlo Simulations of the Hubbard Model
One of the core problems in materials science is how the interactions between electrons in a solid give rise to properties like ∗This work was partially supported by the National Science FoundationExpand
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Revisiting the Theory of Finite Size Scaling in Disordered Systems
For phase transitions in disordered systems, an exact theorem provides a bound on the finite size correlation length exponent: ${\ensuremath{\nu}}_{\mathrm{FS}}\ensuremath{\ge}2/d$. It is believedExpand
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Effect of strong correlations on the high energy anomaly in hole- and electron-doped high-Tc superconductors
Recently, angle-resolved photoemission spectroscopy (ARPES) has been used to highlight an anomalously large band renormalization at high binding energies in cuprate superconductors: the high energyExpand
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Discovering phases, phase transitions, and crossovers through unsupervised machine learning: A critical examination.
We apply unsupervised machine learning techniques, mainly principal component analysis (PCA), to compare and contrast the phase behavior and phase transitions in several classical spin models-theExpand
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First-order reversal curve diagram analysis of a perpendicular nickel nanopillar array
We apply a first-order reversal curvesFORCd diagram analysis to a perpendicular nickel nanopillar array. We find that the FORC diagram signature of this system consists of a two-branch “wishbone”Expand
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Thermodynamic and spectral properties of compressed Ce calculated using a combined local-density approximation and dynamical mean-field theory
We have calculated thermodynamic and spectral properties of Ce metal over a wide range of volume and temperature, including the effects of 4f electron correlations, by the merger of the local-densityExpand
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