499 research outputs found

    Large deviations for cluster size distributions in a continuous classical many-body system

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    An interesting problem in statistical physics is the condensation of classical particles in droplets or clusters when the pair-interaction is given by a stable Lennard-Jones-type potential. We study two aspects of this problem. We start by deriving a large deviations principle for the cluster size distribution for any inverse temperature β(0,)\beta\in (0,\infty) and particle density ρ(0,ρcp)\rho\in(0,\rho_{\mathrm{cp}}) in the thermodynamic limit. Here ρcp>0\rho_{\mathrm{cp}}>0 is the close packing density. While in general the rate function is an abstract object, our second main result is the Γ\Gamma-convergence of the rate function toward an explicit limiting rate function in the low-temperature dilute limit β\beta\to \infty, ρ0\rho\downarrow0 such that β1logρν-\beta^{-1}\log\rho\to\nu for some ν(0,)\nu\in(0,\infty). The limiting rate function and its minimisers appeared in recent work, where the temperature and the particle density were coupled with the particle number. In the decoupled limit considered here, we prove that just one cluster size is dominant, depending on the parameter ν\nu. Under additional assumptions on the potential, the Γ\Gamma-convergence along curves can be strengthened to uniform bounds, valid in a low-temperature, low-density rectangle.Comment: Published in at http://dx.doi.org/10.1214/14-AAP1014 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org

    Surface energy and boundary layers for a chain of atoms at low temperature

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    We analyze the surface energy and boundary layers for a chain of atoms at low temperature for an interaction potential of Lennard-Jones type. The pressure (stress) is assumed small but positive and bounded away from zero, while the temperature β1\beta^{-1} goes to zero. Our main results are: (1) As β\beta \to \infty at fixed positive pressure p>0p>0, the Gibbs measures μβ\mu_\beta and νβ\nu_\beta for infinite chains and semi-infinite chains satisfy path large deviations principles. The rate functions are bulk and surface energy functionals Ebulk\overline{\mathcal{E}}_{\mathrm{bulk}} and Esurf\overline{\mathcal{E}}_\mathrm{surf}. The minimizer of the surface functional corresponds to zero temperature boundary layers. (2) The surface correction to the Gibbs free energy converges to the zero temperature surface energy, characterized with the help of the minimum of Esurf\overline{\mathcal{E}}_\mathrm{surf}. (3) The bulk Gibbs measure and Gibbs free energy can be approximated by their Gaussian counterparts. (4) Bounds on the decay of correlations are provided, some of them uniform in β\beta

    Electron Energy-Loss Spectroscopy: A versatile tool for the investigations of plasmonic excitations

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    The inelastic scattering of electrons is one route to study the vibrational and electronic properties of materials. Such experiments, also called electron energy-loss spectroscopy, are particularly useful for the investigation of the collective excitations in metals, the charge carrier plasmons. These plasmons are characterized by a specific dispersion (energy-momentum relationship), which contains information on the sometimes complex nature of the conduction electrons in topical materials. In this review we highlight the improvements of the electron energy-loss spectrometer in the last years, summarize current possibilities with this technique, and give examples where the investigation of the plasmon dispersion allows insight into the interplay of the conduction electrons with other degrees of freedom

    Large deviations for cluster size distributions in a continuous classical many-body system

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    An interesting problem in statistical physics is the condensation of classical particles in droplets or clusters when the pair-interaction is given by a stable Lennard-Jones-type potential. We study two aspects of this problem. We start by deriving a large deviations principle for the cluster size distribution for any inverse temperature β(0,)\beta\in(0,\infty) and particle density ρ(0,ρcp)\rho\in(0,\rho_{\rm{cp}}) in the thermodynamic limit. Here ρcp>0\rho_{\rm{cp}} >0 is the close packing density. While in general the rate function is an abstract object, our second main result is the Γ\Gamma-convergence of the rate function towards an explicit limiting rate function in the low-temperature dilute limit β\beta\to\infty, ρ0\rho \downarrow 0 such that β1logρν-\beta^{-1}\log\rho\to \nu for some ν(0,)\nu\in(0,\infty). The limiting rate function and its minimisers appeared in recent work, where the temperature and the particle density were coupled with the particle number. In the de-coupled limit considered here, we prove that just one cluster size is dominant, depending on the parameter ν\nu. Under additional assumptions on the potential, the Γ-convergence along curves can be strengthened to uniform bounds, valid in a low-temperature, low-density rectangle

    Model-agnostic Feature Importance and Effects with Dependent Features -- A Conditional Subgroup Approach

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    Partial dependence plots and permutation feature importance are popular model-agnostic interpretation methods. Both methods are based on predicting artificially created data points. When features are dependent, both methods extrapolate to feature areas with low data density. The extrapolation can cause misleading interpretations. To overcome extrapolation, we propose conditional variants of partial dependence plots and permutation feature importance. Our approach is based on perturbations in subgroups. The subgroups partition the feature space to make the feature distribution within a group more homogeneous and between the groups more heterogeneous. The interpretable subgroups enable additional local, nuanced interpretations of the feature dependence structure as well as the feature effects and importance values within the subgroups. We also introduce a data fidelity measure that captures the degree of extrapolation when data is transformed with a certain perturbation. In simulations and benchmarks on real data we show that our conditional interpretation methods reduce extrapolation. In an application we show that these methods provide more nuanced and richer explanations

    Distribution of cracks in a chain of atoms at low temperature

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    We consider a one-dimensional classical many-body system with interaction potential of Lennard--Jones type in the thermodynamic limit at low temperature 1/β ∈ (0, ∞). The ground state is a periodic lattice. We show that when the density is strictly smaller than the density of the ground state lattice, the system with N particles fills space by alternating approximately crystalline domains (clusters) with empty domains (voids) due to cracked bonds. The number of domains is of the order of N exp(-β e surf /2) with e surf > 0 a surface energy

    The Akie language of Tanzania a sketch of discourse grammar

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    Bibliography: p. 177-18

    Distribution of cracks in a chain of atoms at low temperature

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    We consider a one-dimensional classical many-body system with interaction potential of Lennard--Jones type in the thermodynamic limit at low temperature 1/β ∈ (0, ∞). The ground state is a periodic lattice. We show that when the density is strictly smaller than the density of the ground state lattice, the system with N particles fills space by alternating approximately crystalline domains (clusters) with empty domains (voids) due to cracked bonds. The number of domains is of the order of N exp(-β e surf /2) with e surf > 0 a surface energy
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