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The statistical physics of cities [PDF]
Nature Reviews Physics, 2019 Review article for Nature Reviews ...
M. Barthelemy
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Statistical Physics of Adaptation
Physical Review X, 2016 Whether by virtue of being prepared in a slowly relaxing, high-free energy initial condition, or because they are constantly dissipating energy absorbed from a strong external drive, many systems subject to thermal fluctuations are not expected to behave
Nikolay Perunov +2 more
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Motion of charged particle in Reissner–Nordström spacetime: a Jacobi-metric approach
European Physical Journal C: Particles and Fields, 2017 The present work discusses motion of neutral and charged particles in Reissner–Nordström spacetime. The constant energy paths are derived in a variational principle framework using the Jacobi metric which is parameterized by conserved particle energy. Of
Praloy Das, Ripon Sk, Subir Ghosh
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The Statistical Physics of Athermal Materials [PDF]
, 2014 At the core of equilibrium statistical mechanics lies the notion of statistical ensembles: a collection of microstates, each occurring with a given a priori probability that depends only on a few macroscopic parameters such as temperature, pressure ...
Bi, Dapeng +3 more
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Statistical Physics of Random Binning [PDF]
IEEE Transactions on Information Theory, 2015 We consider the model of random binning and finite-temperature decoding for Slepian-Wolf codes, from a statistical-mechanical perspective. While ordinary random channel coding is intimately related to the random energy model (REM) - a statistical-mechanical model of disordered magnetic materials, it turns out that random binning (for Slepian-Wolf ...
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Introducing Quantum and Statistical Physics in the Footsteps of Einstein: A Proposal
Universe, 2021 Introducing some fundamental concepts of quantum physics to high school students, and to their teachers, is a timely challenge. In this paper we describe ongoing research, in which a teaching–learning sequence for teaching quantum physics, whose ...
Marco Di Mauro +2 more
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Introduction to statistical physics outside physics [PDF]
Physica A: Statistical Mechanics and its Applications, 2004 6 pages of opinions, no simulations, draft for Ladek Zdroj ...
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Neural-prior stochastic block model
Machine Learning: Science and Technology, 2023 The stochastic block model (SBM) is widely studied as a benchmark for graph clustering aka community detection. In practice, graph data often come with node attributes that bear additional information about the communities.
O Duranthon, L Zdeborová
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Frontiers in Physics, 2022 A popular measure for citation inequalities of individual scientists has been the Hirsch index (h). If for any scientist the number nc of citations is plotted against the serial number np of the papers having those many citations (when the papers are ...
Asim Ghosh +7 more
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Heliyon, 2019 In the present work, we applied scaled model to calculate surface tension, vapor densities and the critical temperatures of four different models of methanol: namely, H1, J1, J2 and L1 models.
Abdalla Obeidat, Mohammad Badarneh
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