Revealing universal behaviours is a hallmark of statistical physics. Phenomena such as the stochastic growth of crystalline surfaces and of interfaces in bacterial colonies, and spin transport in quantum magnets all belong to the same universality class, despite the great plurality of physical mechanisms they involve at the microscopic level. More specifically, in all these systems, space-time correlations show power-law scalings characterized by universal critical exponents. This universality stems from a common underlying effective dynamics governed by the nonlinear stochastic Kardar-Parisi-Zhang (KPZ) equation. Recent theoretical works have suggested that this dynamics also emerges in the phase of out-of-equilibrium systems showing macroscopic spontaneous coherence. Here we experimentally demonstrate that the evolution of the phase in a driven-dissipative one-dimensional polariton condensate falls in the KPZ universality class. Our demonstration relies on a direct measurement of KPZ space-time scaling laws, combined with a theoretical analysis that reveals other key signatures of this universality class. Our results highlight fundamental physical differences between out-of-equilibrium condensates and their equilibrium counterparts, and open a paradigm for exploring universal behaviours in driven open quantum systems.
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http://dx.doi.org/10.1038/s41586-022-05001-8 | DOI Listing |
J Clin Exp Dent
December 2024
Department of Surgical Sciences, Pediatrics and Gynecology, University of Verona, P.le L.A.Scuro, 10, 37134 Verona, Italy.
Background: This study aimed to evaluate the color stability of Class V anterior restorations with universal composite after professional bleaching using a spectrophotometer.
Material And Methods: Class V cavities were prepared and restored with universal composite in twenty-eight extracted anterior teeth. One week after restoration, color analysis was performed using the spectrophotometer.
PLoS One
January 2025
Dentistry Research Institute, Research Center for Caries Prevention, Tehran University of Medical Sciences, Tehran, Iran.
World Health Organization invites the nations to progress towards universal health care coverage. This study evaluated preventive and curative dental services utilization among children aged 12 years and younger in Tehran, Iran, based on the Andersen behavioral model using a generalized structural equation modeling. A phone-based cross-sectional study was conducted in Tehran, Iran, on 886 children in 2023.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Civil Engineering, Regional Water and Environmental Sanitation Centre, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ashanti, Ghana.
Access to safe sanitation facilities remains a critical public health concern, especially in rapidly urbanizing countries like Ghana. This study investigates the determinants of household toilet ownership among property owners in three urban districts in Ghana. Using a cross-sectional survey design, data were collected from 1,256 property owners selected through a multi-stage stratified sampling procedure.
View Article and Find Full Text PDFAnn Rev Mar Sci
January 2025
Sea Cucumber Specialist Group, Species Survival Commission, International Union for Conservation of Nature, Gland, Switzerland.
Sea cucumbers paradoxically suffer from being both highly prized and commonly disregarded. As an Asian medicine and delicacy, they command fabulous prices and are thus overfished, poached, and trafficked. As noncharismatic animals, many are understudied and inadequately protected.
View Article and Find Full Text PDFNeural Netw
January 2025
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, 150001, China. Electronic address:
Graph neural networks (GNNs) have shown great promise in modeling graph-structured data, but the over-smoothing problem restricts their effectiveness in deep layers. Two key weaknesses of existing research on deep GNN models are: (1) ignoring the beneficial aspects of intra-class smoothing while focusing solely on reducing inter-class smoothing, and (2) inefficient computation of residual weights that neglect the influence of neighboring nodes' distributions. To address these weaknesses, we propose a novel Smoothing Deceleration (SD) strategy to reduce the smoothing speed rate of nodes as information propagates between layers, thereby mitigating over-smoothing.
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