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Author(s): Shivakumar Athani, Benjy Marks, François Guillard, Alistair Gillespie, and Itai Einav Size segregation in granular flows is a well-known phenomenon: laboratory experiments consistently show that large particles migrate toward silo walls during filling, while smaller particles concentrate near the center. Paradoxically, field observations in large-scale industrial silos often report t… [Phys. Rev. Lett. 137, 028202] Published Fri...

Author(s): Johan F. Triana and Felipe Herrera Controlling bond breaking is a long-standing goal in molecular physics. Infrared nanocavities are currently being developed for reaching exotic coupling regimes of cavity QED with a few molecules, but it is not well understood how chemical reactions would proceed in such systems. We study infrared l… [Phys. Rev. Lett. 137, 028001] Published Tue Jul 07, 2026

Author(s): Kimberly J. Daas, Steven Crisostomo, and Kieron Burke Time-dependent density functional theory (TDDFT) is a standard approach for calculating optical excitations of molecules and solids, while ensemble DFT (EDFT) is a promising alternative under development. We introduce ensemble TDDFT (ETDDFT), a practical theory that combines the two, generalizing bo… [Phys. Rev. Lett. 137, 028002] Published Tue Jul 07, 2026

Author(s): Ori Lev, Sagy Lachmann, and Shmuel M. Rubinstein Crumpled Mylar sheets exhibit logarithmic relaxation under both force and displacement-controlled conditions. We perform cyclic relaxation experiments and reveal a continuous family of force-displacement curves that evolve toward equilibrium, bounded by instantaneous and fully relaxed limits. By gen… [Phys. Rev. Lett. 137, 028201] Published Tue Jul 07, 2026

Author(s): Ethan Abraham, Martin Z. Bazant, and Troy Van Voorhis A physically consistent formalism provides a first-principles route to electrochemical current-overpotential relations by computing finite-temperature coupled ion-electron transfer free-energy surfaces from constrained ab initio trajectories. [Phys. Rev. Lett. 137, 018001] Published Wed Jul 01, 2026

Author(s): Luca Di Carlo, Francesca Mignacco, Christopher W. Lynn, and William Bialek An extended version of mean-field theory accurately captures activity patterns seen in networks of biological neurons. [Phys. Rev. Lett. 137, 018401] Published Tue Jun 30, 2026

Author(s): Amandine Hong-Minh, Yair Augusto Gutiérrez Fosado, Abbie Guild, Nicholas Mullin, Laura Spagnolo, Ian Chambers, and Davide Michieletto Proteins and nucleic acids form non-Newtonian liquids with complex rheological properties that contribute to their function in vivo. Here, we investigate the rheology of the transcription factor NANOG, a key protein to maintain embryonic stem cell pluripotency. We find that, at high concentrations, …...