Editorial Board
Publication date: 25 April 2019Source: Physics Reports, Volume 803Author(s): (Source: Physics Reports)
Source: Physics Reports - May 9, 2019 Category: Physics Source Type: research
Editorial Board
Publication date: 20 April 2019Source: Physics Reports, Volume 802Author(s): (Source: Physics Reports)
Source: Physics Reports - May 7, 2019 Category: Physics Source Type: research
Editorial Board
Publication date: 29 April 2019Source: Physics Reports, Volume 804Author(s): (Source: Physics Reports)
Source: Physics Reports - May 7, 2019 Category: Physics Source Type: research
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Publication date: 13 April 2019Source: Physics Reports, Volume 801Author(s): (Source: Physics Reports)
Source: Physics Reports - May 5, 2019 Category: Physics Source Type: research
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Publication date: 10 April 2019Source: Physics Reports, Volume 800Author(s): (Source: Physics Reports)
Source: Physics Reports - April 23, 2019 Category: Physics Source Type: research
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Publication date: 3 April 2019Source: Physics Reports, Volume 799Author(s): (Source: Physics Reports)
Source: Physics Reports - April 19, 2019 Category: Physics Source Type: research
Heat transport of cuprate-based low-dimensional quantum magnets with strong exchange coupling
Publication date: Available online 12 April 2019Source: Physics ReportsAuthor(s): Christian HessAbstractTransport properties provide important access to a solid’s quasiparticles, such as quasiparticle density, mobility, and scattering. The transport of heat can be particularly revealing because, in principle, all types of excitations in a solid may contribute. Heat transport is well understood for phonons and electrons, but relatively little is known about heat transported by magnetic excitations. However, during the last about two decades, the magnetic heat transport attracted increasing attention after the discovery of...
Source: Physics Reports - April 13, 2019 Category: Physics Source Type: research
Corrigendum to “The angular momentum controversy: What’s it all about and does it matter?” [Phys. Rep. 541(3) (2014) 163–248]
Publication date: Available online 11 April 2019Source: Physics ReportsAuthor(s): E. Leader, C. Lorcé (Source: Physics Reports)
Source: Physics Reports - April 13, 2019 Category: Physics Source Type: research
Self-interaction in classical gauge theories and gravitation
Publication date: Available online 27 March 2019Source: Physics ReportsAuthor(s): B.P. KosyakovAbstractTo develop a systematic treatment of the self-interaction problem in classical gauge theories and general relativity, we study tenable manifestations of self-interaction: topological phases, and rearrangements of degrees of freedom appearing in the action. We outline the occurrence of topological phases in pure field systems. We show that the rearranged Maxwell–Lorentz electrodynamics is a mathematically consistent and physically satisfactory theory which describes new entities, dressed charged particles and radiation. ...
Source: Physics Reports - March 28, 2019 Category: Physics Source Type: research
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Publication date: 27 March 2019Source: Physics Reports, Volume 798Author(s): (Source: Physics Reports)
Source: Physics Reports - March 26, 2019 Category: Physics Source Type: research
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Publication date: 23 March 2019Source: Physics Reports, Volume 797Author(s): (Source: Physics Reports)
Source: Physics Reports - March 19, 2019 Category: Physics Source Type: research
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Publication date: 10 March 2019Source: Physics Reports, Volume 795Author(s): (Source: Physics Reports)
Source: Physics Reports - March 16, 2019 Category: Physics Source Type: research
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Publication date: 15 March 2019Source: Physics Reports, Volume 796Author(s): (Source: Physics Reports)
Source: Physics Reports - March 16, 2019 Category: Physics Source Type: research
A high-bias, low-variance introduction to Machine Learning for physicists
Publication date: Available online 14 March 2019Source: Physics ReportsAuthor(s): Pankaj Mehta, Marin Bukov, Ching-Hao Wang, Alexandre G.R. Day, Clint Richardson, Charles K. Fisher, David J. SchwabAbstractMachine Learning (ML) is one of the most exciting and dynamic areas of modern research and application. The purpose of this review is to provide an introduction to the core concepts and tools of machine learning in a manner easily understood and intuitive to physicists. The review begins by covering fundamental concepts in ML and modern statistics such as the bias–variance tradeoff, overfitting, regularization, generali...
Source: Physics Reports - March 15, 2019 Category: Physics Source Type: research
The degree of fine-tuning in our universe — and others
Publication date: Available online 15 February 2019Source: Physics ReportsAuthor(s): Fred C. AdamsAbstractBoth the fundamental constants that describe the laws of physics and the cosmological parameters that determine the properties of our universe must fall within a range of values in order for the cosmos to develop astrophysical structures and ultimately support life. This paper reviews the current constraints on these quantities. The discussion starts with an assessment of the parameters that are allowed to vary. The standard model of particle physics contains both coupling constants (α,αs,αw) and particle masses (mu...
Source: Physics Reports - March 5, 2019 Category: Physics Source Type: research
