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Physical Review E

Volume 114, Issue 4 (partial)

October 2026
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HIGHLIGHTED ARTICLES

EDITORS' SUGGESTION

Restoring information in aged gene regulatory networks by single knock-ins

Ryan LeFebre, Tyler Schutt, Fabrisia Ambrosio, and Andrew Mugler

Phys. Rev. E 114, 044401 (2026) - Published 2 October, 2026

Recent analyses have demonstrated that aging is associated with a loss of information within gene regulatory networks. In this article, a simple theoretical framework is developed for information transmission in gene regulatory networks and this framework is applied to gene expression data from muscle cells in young and old mice. The authors predict how much of the lost information is restored by “knocking in” (exogenously expressing) each gene and find that single knock-ins can restore network information by up to 10%.

#BiophysicsSpotlight #ClearMotivation

PERSPECTIVES

PERSPECTIVE

Three-dimensional microprinting anisotropic and deformable active matter

Mengshi Wei and Daniela J. Kraft

Phys. Rev. E 114, 041001 (2026) - Published 2 October, 2026

3D microprinting provides unprecedented control over the shape, propulsion direction, and mechanical properties of active colloids and microstructures. This Perspective explores how anisotropy and deformability can enrich their (non)equilibrium dynamics and collective behavior, and open pathways towards programmable active materials and autonomous microrobots.

ARTICLES

Statistical Physics

Interfacial thermal transport in extended atomic heterojunctions: Ballistic thermal conductance and correlated disorder

I. F. Herrera-González

Phys. Rev. E 114, 044101 (2026) - Published 1 October, 2026

Graphon spin systems as exactly solvable models

Artem Alexandrov and Georgi S. Medvedev

Phys. Rev. E 114, 044102 (2026) - Published 1 October, 2026

Role of system-bath interaction in non-Markovian quantum Brownian Otto cycles

Haena Shim and Joonhyun Yeo

Phys. Rev. E 114, 044103 (2026) - Published 2 October, 2026

Network analysis for steady-state current fluctuations under finite affinity: Application to Brownian computation

Yasuhiro Utsumi

Phys. Rev. E 114, 044104 (2026) - Published 2 October, 2026

Nonlinear Dynamics and Chaos

Weakly nonlinear dynamics of follower-force-induced oscillations in Cosserat rods

Mohamed Warda

Phys. Rev. E 114, 044201 (2026) - Published 1 October, 2026

Phyllotactic order from radial growth of spatial symmetry-breaking instabilities in supercritical conditions

Marcello A. Budroni, Giulio Facchini, Fabian Brau, and Anne De Wit

Phys. Rev. E 114, 044202 (2026) - Published 2 October, 2026

Networks and Complex Systems

Scaling laws for the spread of defection in evolutionary games on networks

M. Giles and P. K. Newton

Phys. Rev. E 114, 044301 (2026) - Published 1 October, 2026

Coevolution of strategies and interactions in donation games on a square lattice

Balázs Király and György Szabó

Phys. Rev. E 114, 044302 (2026) - Published 1 October, 2026

Higher-order orientational effects on geometric percolation in two-dimensional stick networks

Davide Grazioli, Angelo Simone, Aidan Durant, Avik P. Chatterjee, and Claudio Grimaldi

Phys. Rev. E 114, 044303 (2026) - Published 1 October, 2026

Susceptible-infectious-susceptible epidemics on temporal contact graphs with clique structure

Robin Persoons and Piet Van Mieghem

Phys. Rev. E 114, 044304 (2026) - Published 2 October, 2026

Graphicality of power-law and double-power-law degree sequences

Pietro Valigi, M. Ángeles Serrano, Claudio Castellano, and Lorenzo Cirigliano

Phys. Rev. E 114, 044305 (2026) - Published 2 October, 2026

Biological Physics

EDITORS' SUGGESTION

Restoring information in aged gene regulatory networks by single knock-ins

Ryan LeFebre, Tyler Schutt, Fabrisia Ambrosio, and Andrew Mugler

Phys. Rev. E 114, 044401 (2026) - Published 2 October, 2026

Recent analyses have demonstrated that aging is associated with a loss of information within gene regulatory networks. In this article, a simple theoretical framework is developed for information transmission in gene regulatory networks and this framework is applied to gene expression data from muscle cells in young and old mice. The authors predict how much of the lost information is restored by “knocking in” (exogenously expressing) each gene and find that single knock-ins can restore network information by up to 10%.

#BiophysicsSpotlight #ClearMotivation

Plasma Physics

Improved nonlocal electron heat transport model for magnetized plasmas

Z. H. Chen, Z. Q. Zhao, X. H. Yang, L. R. Li, B. Zeng, Z. Li, B. H. Xu, G. B. Zhang, H. H. Ma, M. Tang, Y. Y. Ma, H. Xu, F. Q. Shao, and J. Zhang

Phys. Rev. E 114, 045201 (2026) - Published 1 October, 2026

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