Results 61 to 70 of about 153,609 (340)
Entropy, 2015 There is a well-known analogy between statistical and quantum mechanics. In statistical mechanics, Boltzmann realized that the probability for a system in thermal equilibrium to occupy a given state is proportional to \(\exp(-E/kT)\), where \(E\) is the ...
John C. Baez, Blake S. Pollard
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Graph Reconstruction and Quantum Statistical Mechanics
Journal of Geometry and Physics, 2012 10 ...
Gunther Cornelissen, Matilde Marcolli
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Statistical Mechanics: Entropy, Order Parameters, and Complexity
, 2021 This text distills the core ideas of statistical mechanics to make room for new advances important to information theory, complexity, active matter, and dynamical systems.
J. Sethna
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Local normality in Quantum Statistical Mechanics [PDF]
Communications in Mathematical Physics, 1973 It is shown that K.M.S.-states are locally normal on a great number ofC*-algebras that may be of interest in Quantum Statistical Mechanics. The lattice structure and the Choquet-simplex structure of various sets of states are investigated. In this respect special attention is payed to the interplay of the K.M.S.-automorphism group with other ...
M. Takesaki, M. Winnink
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Test of quantum gravity in statistical mechanics [PDF]
Physical Review D, 2021 We study Quantum Gravity effects on the density of states in statistical mechanics and its implications for the critical temperature of a Bose Einstein Condensate and fraction of bosons in its ground state. We also study the effects of compact extra dimensions on the critical temperature and the fraction.
Saurya Das, Mitja Fridman
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Equilibration of quantum gases
New Journal of Physics, 2016 Finding equilibration times is a major unsolved problem in physics with few analytical results. Here we look at equilibration times for quantum gases of bosons and fermions in the regime of negligibly weak interactions, a setting which not only includes ...
Terry Farrelly
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Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
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A statistical-mechanical description of quantum entanglement [PDF]
Journal of Physics A: Mathematical and Theoretical, 2008 We present a description of finite dimensional quantum entanglement, based on a study of the space of all convex decompositions of a given density matrix. On this space we construct a system of real polynomial equations describing separable states. We further study this system using statistical mechanical methods.
J. K. Korbicz +4 more
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Advanced Engineering Materials, EarlyView.Scanning transmission electron microscopy imaging techniques are an essential tool to document dynamic developments, such as precipitation in aluminum alloys, during in situ heating experiments using transmission electron microscopy. However, in many cases, chemical information is required to interpret complex nanoscale processes.
Evelin Fisslthaler +4 more
wiley +1 more source
Speed limits to fluctuation dynamics
Communications PhysicsFluctuation dynamics of an experimentally measured observable offer a primary signal for nonequilibrium systems, along with dynamics of the mean. While universal speed limits for the mean have actively been studied recently, constraints for the speed of ...
Ryusuke Hamazaki
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