EDITORS' SUGGESTION
Curvature-induced clustering of cell adhesion proteins
Shao-Zhen Lin, Jacques Prost, and Jean-François Rupprecht
Phys. Rev. E 109, 054406 (2024)Cell adhesion proteins bind the cell membrane to its environment and, at the same time, aggregate into stable clusters. In this paper, the proteins’ sensing of the cell membrane curvature is investigated as a mechanism to stabilize these clusters, predicting the emergence of diverse spatial patterns.
EDITORS' SUGGESTION
Filamentation of a relativistic proton bunch in plasma
L. Verra et al. (AWAKE Collaboration)
Phys. Rev. E 109, 055203 (2024)When injected into a plasma, a proton bunch triggers oscillatory phenomena which can lead to different instability regimes. The authors present experimental evidence of the appearance of the oblique two-stream instability, generating filamentation in the bunch-plasma system, in accordance with theoretical and numerical predictions.
EDITORS' SUGGESTION
Estimator of entropy production for partially accessible Markov networks based on the observation of blurred transitions
Benjamin Ertel and Udo Seifert
Phys. Rev. E 109, 054109 (2024)In stochastic thermodynamics, entropy production can be estimated for physical systems with a Markovian description. For realistic situations the full Markovian description may not be accessible, and this paper uses an information-theoretic bound to establish an effective approach for such a scenario.
EDITORS' SUGGESTION
Using reservoir computing to construct scarred wave functions
L. Domingo, J. Borondo, and F. Borondo
Phys. Rev. E 109, 044214 (2024)Scarred functions serve as a basis to calculate eigenstates in quantum chaotic systems, and are useful to study the correspondence between classical and quantum systems in the presence of chaos. In this paper, the authors propose a method, based on a machine learning algorithm, to calculate the scarred functions and corresponding eigenstates of the coupled quartic oscillator, and they report that the algorithm increases accuracy and reduces the execution time.
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