Physical Review E

The work was done by Muhammad Ahmed Hanif and Devaraj van der Meer at the University of Twente and their colleagues at the Helmholtz-Zentrum Dresden-Rossendorf and Universidad de Navarra.

Can X-ray imaging help study the kinetics of grains in a hopper? This study says yes. The team analyzed the vertical velocity, volume fraction, and orientations of particles shaped like spheres, lentils, and rice using 3D stacks of X-ray cross sections. go.aps.org/4rKJV11

Join APS TV Host Clara Nellist as she sits down with the editors of PRX Intelligence, a new @APSPhysics journal. Watch them introduce their vision for a publication dedicated to research at the intersection of physics, AI & machine learning. #APSSummit26 youtu.be/3UpwDhHLGRE

This work was done by Megha Varma, Venkateshwar Dugyala and colleagues at @iiserbhopal.

New experiments demystify how rotational diffusivity and geomagnetic fields shape the self-propulsion trajectories of anisotropic magnetic micro-swimmers and demonstrate their practical applicability in creating complex patterns. 🔗 go.aps.org/4uCcT5U

Wei Wang and @diffusiveblob at @JHUPhysicsAstro authored the study.

What controls cell cluster fracturing? Using an active particle model, scientists predicted how fragmented cell clusters vary in size and variability with cell motility and whether cell division is restricted to cluster boundaries or reaches the center. go.aps.org/4lCb8Sd

The work was done by @moondark at @NorthwesternU, @santo_fortunato at @IULuddy @IUBloomington, and their colleagues there and at @binghamtonu.

Randomization of weighted networks is often done through a weighted configuration model, but then the statistical significance is dependent on scale. But randomizing the structure then the weights restores scale invariance, enabling unbiased assessments. go.aps.org/4uAwmUm

Ming Li from Hefei University of Technology, Jeśus Salas from @uc3m, and their colleagues from the University of Science and Technology China and Laboratoire de Physique de l'Ecole Normale Supérieure are the authors.

With large-scale Monte Carlo simulations, researchers show that the backbone of a Fortuin-Kasteleyn cluster behaves differently than the full cluster at ordinary critical points, but they become geometrically identical at tricritical points. 🔗 go.aps.org/47KJ8G6

The work was done by Alejandro Pardo Pintos, @marc_trev, and their colleagues at @Exactas_UBA @UBAonline as well as a collaborator at @IBMResearch.

In major Western languages, word usage frequency functions as a dynamical system operating at criticality. Oscillations emerge from a robust coupling of word usage and economic fluctuations, highlighting the active coupling of language and economics. 🔗 go.aps.org/4upnalT

The work was done by Yorgos Chatziantoniou and Hélène Berthoumieux at ESPCI Paris.

The mitochondria is the powerhouse of the cell 🔋 It’s a phrase every student knows. But this study dives deeper, investigating how the chemical and physical properties of the mitochondria’s membrane, specifically the cristae, influence its efficiency: go.aps.org/47qIr4F

From active metamaterials to nonreciprocal interactions and robo-atomic solids, our new editorial spotlights the thesis behind the @APS_DSNP Dissertation Award. Read more: go.aps.org/3P1Q636

This work was done by Surajit Chakraborty, Kabir Ramola and colleagues at @TIFRH_buzz and their collaborators at @BrandeisU and @ictstifr.

Do jammed solids develop Debye-like screening near unjamming? No, according to a new study combining stress-only gauge theory and simulations — rather, the dielectric-like response persists up to the unjamming point. Read the paper: go.aps.org/3MW1hKa

Mufei Luo, Gianluca Gregori, and colleagues at @UniOfOxfod and collaborators at Mach42 performed this study.

Researchers developed a deep-learning framework that models spatiotemporal heat transport in plasma. With time embedded into the architecture, the model learns how transport evolves across collisionality regimes — outperforming traditional approaches. 🔗 go.aps.org/4rZTqKC