Irreversibility in dynamical phases and transitions.

Nat Commun

Department of Physics, Yale University, New Haven, CT, 06511, USA.

Published: January 2021

AI Article Synopsis

  • Living and non-living active matter uses energy at the microscopic level to create observable behaviors like waves and oscillations.
  • Researchers have developed a new metric called the entropy production factor to measure how irreversibility affects these systems and break time reversal symmetry.
  • The study focuses on simulations of the Brusselator, exploring the energy needed for synchronized biochemical oscillations and how irreversibility is distributed across different frequencies in space and time.

Article Abstract

Living and non-living active matter consumes energy at the microscopic scale to drive emergent, macroscopic behavior including traveling waves and coherent oscillations. Recent work has characterized non-equilibrium systems by their total energy dissipation, but little has been said about how dissipation manifests in distinct spatiotemporal patterns. We introduce a measure of irreversibility we term the entropy production factor to quantify how time reversal symmetry is broken in field theories across scales. We use this scalar, dimensionless function to characterize a dynamical phase transition in simulations of the Brusselator, a prototypical biochemically motivated non-linear oscillator. We measure the total energetic cost of establishing synchronized biochemical oscillations while simultaneously quantifying the distribution of irreversibility across spatiotemporal frequencies.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7810704PMC
http://dx.doi.org/10.1038/s41467-020-20281-2DOI Listing

Publication Analysis

Top Keywords

irreversibility dynamical
4
dynamical phases
4
phases transitions
4
transitions living
4
living non-living
4
non-living active
4
active matter
4
matter consumes
4
consumes energy
4
energy microscopic
4

Similar Publications

Small and medium-sized enterprises (SMEs) can gain a competitive advantage by implementing business model innovation (BMI), which is characterized as irreversible changes to a company's business model. However, BMI is often associated with high risk, uncertainty, and ambiguity. In this study, the effectiveness of BMI on improving SME performance is examined using structural equation modeling (SEM) based on data collected from 330 Chinese SMEs.

View Article and Find Full Text PDF

Background: Systemic lupus erythematosus (SLE) can affect a plethora of organ systems and cause organ damage due to the disease process and medication toxicity, notably corticosteroids. Patients with SLE often suffer irreversible organ damage. Older age, glucocorticoid use, longer disease duration, and disease activity all represent risk factors for organ damage.

View Article and Find Full Text PDF

Identification of Two Flavonoids as New and Safe Inhibitors of Kynurenine Aminotransferase II via Computational and In Vitro Study.

Pharmaceuticals (Basel)

January 2025

Laboratory of Biotechnology, National Higher School of Biotechnology, Ville Universitaire (University of Constantine 3), Ali Mendjeli, BP E66, Constantine 25100, Algeria.

Kynurenine aminotransferase II (KAT-II) is a target for treating several diseases characterized by an excess of kynurenic acid (KYNA). Although KAT-II inactivators are available, they often lead to adverse side effects due to their irreversible inhibition mechanism. This study aimed to identify potent and safe inhibitors of KAT-II using computational and in vitro approaches.

View Article and Find Full Text PDF

To date, there have been no studies on the dynamics of areas of pain, paraesthesia and hypoesthesia after the use of various transcutaneous electrical nerve stimulation in the treatment of meralgia paresthetica. In this pilot study, we observed 68 patients with obesity-related bilateral meralgia paresthetica. Pain syndrome, paraesthesia symptoms, and hypoesthesia were evaluated using 10-point scores.

View Article and Find Full Text PDF

Connectome-based biophysical models of pathological protein spreading in neurodegenerative diseases.

PLoS Comput Biol

January 2025

Research Center for Social Computing and Information Retrieval, Harbin Institute of Technology, Harbin, China.

Neurodegenerative diseases are a group of disorders characterized by progressive degeneration or death of neurons. The complexity of clinical symptoms and irreversibility of disease progression significantly affects individual lives, leading to premature mortality. The prevalence of neurodegenerative diseases keeps increasing, yet the specific pathogenic mechanisms remain incompletely understood and effective treatment strategies are lacking.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!