Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
Stéphane Kenmoe, editor-in-chief of the African Physics Newsletter, discusses how the project helps foster communication among physicists in Africa and the African diaspora, and brings African physics worldwide.
The superconducting diode effect, in which a nonreciprocal supercurrent is generated, enables new superconducting circuit functionalities. In this Review, we present the recent experimental results in the context of theoretical work and provide an analysis of the intertwining parameters that contribute to this effect.
Labos 1point5 is a nationwide action-research project that so far about half of research units in France have used to assess their carbon footprint. Tamara Ben-Ari describes some of the scientific findings from the resulting dataset and what they show about how to change the scientific system.
Experiments in fluids have enabled the simulation of several aspects of black holes and quantum field theory in curved spacetime. This Perspective article discusses possible hydrodynamic simulators of quantum gravitational effects, ranging from the resolution of curvature singularities to the emergence of spacetime geometry from quantum degrees of freedom.
Visual anemometry measures winds using observations of associated environmental flow–structure interactions such as swaying trees and flapping flags. This Perspective article outlines opportunities for physics and data science to further develop visual anemometry for renewable energy, urban sustainability and environmental science.
Astroparticle physicists met for the 38th edition of the biennial series of the International Cosmic Ray Conference (ICRC2023), which took place in late July in Nagoya, Japan.
Raphaël Lévy, one of the principal investigators of NanoBubbles — an interdisciplinary project that explores how, when and why science fails to correct itself, talks about the importance of questioning and correcting the scientific record.
Granular matter is ubiquitous in engineering, industrial and natural processes. This Technical Review overviews the latest developments in computational modelling of granular matter with a focus on the role of particle shape and discusses pertaining future challenges.
Recent advances in machine learning are enabling progress in several aspects of experimental fluid mechanics. This Perspective article focuses on augmenting the quality of measurement techniques, improving experimental design and enabling real-time estimation and control.
Gathering evidence is key to science, so it is not surprising that scientific institutions have started to report their carbon emissions. However, it is critical to go beyond reporting, and act. Even without a perfect evidence base there are actions scientists and institutions can take that will lead to lasting change, argues Astrid Eichhorn, physicist and chair of the ALLEA Working Group on Climate Sustainability in the Academic System.
Machine-learning-based sampling strategies have been recently developed for lattice quantum chromodynamics applications. These methods are in their early stages, but have the potential to enable currently intractable first-principles calculations in particle, nuclear and condensed matter physics and also to advance machine learning.
A paper in Nature Communications shows that a hyperbolic map can still be useful for navigating a real-world network, even if the information about the network is incomplete.
Twenty-five years ago, Duncan Watts and Steven Strogatz published ‘Collective dynamics of ‘small-world’ networks’, a paper that helped kickstart the modern era of network science.
A paper in Physical Review E shows that in several real-world networks, the number of cliques grows faster than the number of links, and the number of big cliques grows even faster than the number of small cliques.
A paper in Science Advances puts forward a framework for quantifying the level of homophily in group interactions, and shows that simple-seeming definitions of group homophily are constrained by combinatorics in ways that are not immediately obvious.
A paper in Communications Physics shows that effective interventions to increase the visibility of minorities in networks should consider both increasing the size of the minority and changing how connections are made.
