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Mechanisms of jamming in the Nagel-Schreckenberg model for traffic flow

Henrik Bette 1, 2 Lars Habel 2 Thorsten Emig 3, 1, 4 Michael Schreckenberg 2 Physical Review E , American Physical Society (APS), 2017, 95 (1), 〈10.1103/PhysRevE.95.012311〉 1. MSE2 – Multiscale Materials Science for Energy and Environment 2. Universität Duisburg-Essen [Essen] 3. LPTMS – Laboratoire de Physique Théorique et Modèles Statistiques 4. MIT – Massachusetts […]

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Mean perimeter and mean area of the convex hull over planar random walks

Denis S. Grebenkov 1 Yann Lanoiselée 2 Satya N. Majumdar 3 Denis Grebenkov 1 Satya N Majumdar 3 Journal of Statistical Mechanics: Theory and Experiment, IOP Science, 2017, 2017 (10), 〈10.1088/1742-5468/aa8c11〉 We investigate the geometric properties of the convex hull over $n$ successive positions of a planar random walk, with a symmetric continuous jump distribution.

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Many body heat radiation and heat transfer in the presence of a non-absorbing background medium

Muller Boris 1 Incardone Roberta 1 Mauro Antezza 2, 3 Emig Thorsten 4, 5 Kruger Matthias 1 Physical Review B : Condensed matter and materials physics, American Physical Society, 2017, 95, pp.085413. 〈10.1103/PhysRevB.95.085413〉 Heat radiation and near-field radiative heat transfer can be strongly manipulated by adjusting geometrical shapes, optical properties, or the relative positions of

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Loop expansion around the Bethe approximation through the $M$-layer construction

Ada Altieri 1, 2 Maria Chiara Angelini 3 Carlo Lucibello 4 Giorgio Parisi 5, 6, 7 Federico Ricci-Tersenghi 8, 6, 7 Tommaso Rizzo 9, 10 Journal of Statistical Mechanics: Theory and Experiment, IOP Science, 2017 For every physical model defined on a generic graph or factor graph, the Bethe $M$-layer construction allows building a different

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Long time scaling behaviour for diffusion with resetting and memory

Denis Boyer 1 Martin R. Evans 2 Satya N. Majumdar 3 Journal of Statistical Mechanics: Theory and Experiment, IOP Science, 2017, 2017 (2), pp.023208 We consider a continuous-space and continuous-time diffusion process under resetting with memory. A particle resets to a position chosen from its trajectory in the past according to a memory kernel. Depending

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Localization Transition Induced by Learning in Random Searches

Andrea Falcón-Cortés 1 Denis Boyer 2 Luca Giuggioli 3 Satya N. Majumdar 4 Physical Review Letters, American Physical Society, 2017, 119 (14), 〈10.1103/PhysRevLett.119.140603〉 We solve an adaptive search model where a random walker or L\’evy flight stochastically resets to previously visited sites on a $d$-dimensional lattice containing one trapping site. Due to reinforcement, a phase

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Large deviations

Satya N. Majumdar 1 Gregory Schehr 1 ICTS newsletter, 2017 This is a brief pedagogical introduction to the theory of large deviations. It appeared in the ICTS Newsletter 2017 (Volume 3, Issue 2), goo.gl/pZWA6X. 1. LPTMS – Laboratoire de Physique Théorique et Modèles Statistiques

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