This work was done by Seong-Gyu Yang at the Korea Institute for Advanced Study and Hye Jin Park at Inha University.

An extension of a consumer-resource dynamics model employs dynamical mean field theory to study intraspecific suppression, showing how it can foster #biodiversity via self-regulation — preventing dominant species and allowing more species to coexist. 🔗

What do you want to know?.

This study was conducted by Ilian Pihlajamaa, Liesbeth Janssen, and colleagues at @TUeindhoven.

Researchers trace differences in relaxation dynamics of 2D and 3D polydisperse glass formers to local energy landscapes, where larger energy barriers in 2D require cooperative motion while lower barriers in 3D enable more localized single-particle events.

The work was done by R. Schlickeiser at Ruhr-Universität Bochum and Christian-Albrechts-Universität zu Kiel and M. Kröger at ETH Zurich.

Applying a new Maxwellian process to collision-poor unmagnetized plasmas suggests that an efficient thermalization mechanism results from competition between momentum losses and momentum diffusion of #plasma particles. 🔗

This work was done by Anna Braghetto, Enzo Orlandini at the University of Padova and colleagues there and at @Sissaschool.

Researchers propose a hybrid supervised-unsupervised #MachineLearning approach to classify knots. Trained on 3D coordinates of different knot configurations, it captures topological features, like chirality, to reconstruct a variety of knotted rings. 🔗

RT @ssadhukhan1996: 🔊🚨Excited to share my recent publication on Fluctuation-dominated phase ordering (FDPO) in an Equilibrium 1D Truncated….

This study was conducted by Yi-fan Wang, Chunlai Ren, and Yu-qiang Ma at @NJU1902.

By using a sticker-spacer model and integrating coarse-grained lattice simulations with #MachineLearning, scientists study the liquid-to-solid transition in protein #condensates and confirm the formation of a solid-like shell at the condensate interface.

@APSphysics @aps_dsnp The editorial was authored by @aps_dsnp Executive Committee members @quthermo_comp at @UMBC, Douglas Durian at @Penn, Wolfgang Losert at @UofMaryland, and Narayanan Menon at @UMassAmherst.

To mark the transition of @APSphysics’ Topical Group on Statistical and Nonlinear Physics (@aps_dsnp) to a Division, this editorial details the core aspects of #StatisticalPhysics and #NonlinearPhysics and its role in emerging research areas. 🔗

This study was conducted by Claudio Bonati and Ivan Soler Calero at @Unipisa.

A numerical study of a 3D lattice system where a SU(2) gauge field is coupled to two flavors of fundamental scalars finds that a multicritical point where global symmetry is enlarged to O(5) can be described using Landau-Ginzburg-Wilson ϕ4 theory. 🔗

RT @APSphysics: What’s that noise? By analyzing audio recordings of cicadas at two sites near Bangalore, India, a @PhysRevE study finds tha….

The application deadline has been extended to Aug. 22 👇.

These studies were conducted by Yannick Omar, Kranthi Mandadapu, and Zachary Lipel at @UCBerkeleyNews, @BerkeleyLab, @MIT, and @Princeton.

These studies build on a 2024 paper that explored a model for characterizing electrostatics and presented a comprehensive surface theory to describe the electromechanics of lipid membranes.

The team also developed a lipid membrane-specialized model based on the theory to characterize electromechanical behavior in 3D Newtonian fluid in the third and final paper: