Results 11 to 20 of about 76,160 (220)
Models of dark matter halos based on statistical mechanics: II. The fermionic King model [PDF]
, 2014 We discuss the nature of phase transitions in the fermionic King model which describes tidally truncated quantum self-gravitating systems. This distribution function takes into account the escape of high energy particles and has a finite mass.
Chavanis, Pierre-Henri +2 more
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Statistical mechanics of Floquet quantum matter: exact and emergent conservation laws [PDF]
Journal of Physics: Condensed Matter, 2021 Equilibrium statistical mechanics rests on the assumption of chaotic dynamics of a system modulo the conservation laws of local observables: extremization of entropy immediately gives Gibbs’ ensemble (GE) for energy conserving systems and a generalized ...
A. Haldar, Arnab Das
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Why neural functionals suit statistical mechanics [PDF]
Journal of Physics: Condensed Matter, 2023 We describe recent progress in the statistical mechanical description of many-body systems via machine learning combined with concepts from density functional theory and many-body simulations. We argue that the neural functional theory by Sammüller et al
Florian Sammüller +2 more
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Developments in the Tensor Network — from Statistical Mechanics to Quantum Entanglement [PDF]
Journal of the Physical Society of Japan, 2021 Tensor networks (TNs) have become one of the most essential building blocks for various fields of theoretical physics such as condensed matter theory, statistical mechanics, quantum information, and quantum gravity.
K. Okunishi, T. Nishino, H. Ueda
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Why Noether’s theorem applies to statistical mechanics [PDF]
Journal of Physics: Condensed Matter, 2021 Noether’s theorem is familiar to most physicists due its fundamental role in linking the existence of conservation laws to the underlying symmetries of a physical system.
Sophie Hermann, M. Schmidt
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A condensed-matter analogue of the false vacuum [PDF]
, 2021 Through experimental investigation into the behaviour of a polar dielectric working fluid, an ideal ‘quasi-thermodynamic’ cycle has been established.
M. Gibbons
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Statistical Mechanics of Discrete Multicomponent Fragmentation [PDF]
Condensed Matter, 2020 We formulate the statistics of the discrete multicomponent fragmentation event using a methodology borrowed from statistical mechanics. We generate the ensemble of all feasible distributions that can be formed when a single integer multicomponent mass is
T. Matsoukas
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Investigation of Random Matrix Theory for Statistical Mechanics and Quantum Physics Applications
Mathematical Statistician and Engineering Applications, 2021 Due to its capability to explain large systems with chaotic behaviour, Random Matrix Theory (RMT) has drawn a lot of interest in the domains of Statistical Mechanics and Quantum Physics.
Akshay Kumar
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Statistical mechanics of integrable quantum spin systems [PDF]
SciPost Physics Lecture Notes, 2019 This script is based on the notes the author prepared to give a set of six lectures at the Les Houches School ``Integrability in Atomic and Condensed Matter Physics'' in the summer of 2018.
F. Gohmann
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Statistical Mechanics of Deep Learning
Annual Review of Condensed Matter Physics, 2020 The recent striking success of deep neural networks in machine learning raises profound questions about the theoretical principles underlying their success. For example, what can such deep networks compute? How can we train them?
Yasaman Bahri +6 more
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