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The 2024 Nobel Prize in Physics was awarded to John Hopfield and Geoffrey Hinton, "for foundational discoveries and inventions that enable machine learning with artificial neural networks." As noted by the Nobel committee, their work moved…

History and Philosophy of Physics · Physics 2024-12-26 William Bialek

Advances in mathematical physics during the 20th century led to the discovery of a relationship between group theory and representation theory with the theory of special functions. Specifically, it was discovered that many of the special…

Mathematical Physics · Physics 2013-09-11 Ryan D. Wasson , Robert Gilmore

In the late seventies an increasing interest in the scaling theory of Anderson localization led to new efforts to understand the conductance of systems which scatter electrons elastically. The conductance and its relation to the scattering…

Mesoscale and Nanoscale Physics · Physics 2010-07-05 Markus Büttiker , Michael Moskalets

Dynamic motions of humans and robots are widely driven by posture-dependent nonlinear interactions between their degrees of freedom. However, these dynamical effects remain mostly overlooked when studying the mechanisms of human movement…

Robotics · Computer Science 2022-08-03 Holger Klein , Noémie Jaquier , Andre Meixner , Tamim Asfour

We provide a numerical study of the macroscopic model of [3] derived from an agent-based model for a system of particles interacting through a dynamical network of links. Assuming that the network remodelling process is very fast, the…

This article summarises a talk given at the 2014 Palermo workshop on Astrophysics. It covers a short review on the neutrino physics status and the potential physics opportunities of future experiments. During the last year our knowledge on…

High Energy Physics - Experiment · Physics 2015-03-20 Thomas Strauss

There has been a surge in the interest of using machine learning techniques to assist in the scientific process of formulating knowledge to explain observational data. We demonstrate the use of Bayesian Hidden Physics Models to first…

Machine Learning · Computer Science 2021-03-16 Steven Atkinson , Yiming Zhang , Liping Wang

Understanding of the intimate cross-coupling between electric and magnetic degrees of freedom in solids usually requires sophisticated models and time-consuming calculation methods. Instead of macroscopic symmetry analysis, we present a…

Materials Science · Physics 2022-02-02 Maocai Pi , Xifan Xu , Mingquan He , Yisheng Chai

Designing microscopic and nanoscopic self-propelled particles and characterising their motion has become a major scientific challenge over the past decades. To this purpose, phoretic effects, namely propulsion mechanisms relying on local…

Soft Condensed Matter · Physics 2021-04-09 Pierre Illien , Ramin Golestanian , Ayusman Sen

The Nobel Prize in Physics 2025 has been awarded to John Clarke, John Martinis, and Michel Devoret for "the discovery of macroscopic quantum mechanical tunnelling and energy quantisation in an electric circuit". Their achievements open up…

Superconductivity · Physics 2025-12-24 O. G. Turutanov

In this work a new mechanics will be studied which is based on the hypothesis that the change of linear momentum of a particle happens as a discrete pulses. By using this hypothesis and by considering Newton's relation between energy and…

General Physics · Physics 2015-06-26 Munir Al-Hashimi

Contents: Community news: Message from the Chair, by Jim Isenberg We hear that..., by Jorge Pullin THE TGG WYP Speakers Program, by Richard Price Research Briefs: Gravity Probe B is launched, by Bill Hamilton Questions and progress in…

General Relativity and Quantum Cosmology · Physics 2016-08-31 Jorge Pullin

This is a working progress report on the attempt by Yuri Dokshitzer, Gavin Salam and myself to relate the small-$x$ behaviour of the anomalous dimensions in the time- and space-like cases. This relation is based on a ``reciprocity…

High Energy Physics - Phenomenology · Physics 2007-05-23 Giuseppe Marchesini

This is a pedagogical introduction to Brownian motion on the occasion of the 100th anniversary of Einstein's 1905 paper on the subject. After briefly reviewing Einstein's work in its contemporary context, we pursue some lines of further…

Soft Condensed Matter · Physics 2022-08-22 Erwin Frey , Klaus Kroy

Active particles which are self-propelled by converting energy into mechanical motion represent an expanding research realm in physics and chemistry. For micron-sized particles moving in a liquid ("microswimmers"), most of the basic…

Soft Condensed Matter · Physics 2020-02-19 Hartmut Löwen

Book review published as: Aronow, Peter M. and Fredrik S\"avje (2020), "The Book of Why: The New Science of Cause and Effect." Journal of the American Statistical Association, 115: 482-485.

Other Statistics · Statistics 2020-03-27 Peter M. Aronow , Fredrik Sävje

The first part of a set of notes based on lectures given at the IHES in May 2015 on Feynman amplitudes and motivic periods.

Mathematical Physics · Physics 2017-02-02 Francis Brown

Self-propelled particles with hydrodynamic interactions (microswimmers) have previously been shown to produce long-range ordering phenomena. Many theoretical explanations for these collective phenomena are connected to instabilities in the…

Soft Condensed Matter · Physics 2017-05-03 Yuzhou Qian , Peter R. Kramer , Patrick T. Underhill

Signatures of collectivity, including azimuthally anisotropic and radial flow as well as characteristic hadrochemical dependencies, have been observed since long in (ultra)relativistic nucleus-nucleus collisions. They underpin the…

High Energy Physics - Experiment · Physics 2024-08-30 Jan Fiete Grosse-Oetringhaus , Urs Achim Wiedemann

This is a comment on Phys. Rev. A 67, 022104(2003).

Atomic Physics · Physics 2007-05-23 Guowu Meng