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Memristors have emerged as key candidates for beyond-von-Neumann neuromorphic or in-memory computing owing to the feasibility of their ultrahigh-density three-dimensional integration and their ultralow energy consumption. A memristor is…

Materials Science · Physics 2021-08-06 Lingxiang Hu , Jing Yang , Jingrui Wang , Peihong Cheng , Leon O. Chua , Fei Zhuge

A complete suppression of the exponential decay in a qubit (interacting with a squeezed vacuum reservoir) can be achieved by frequent measurements of adequately chosen observables. The observables and initial states (Zeno subspace) for…

Quantum Physics · Physics 2013-02-12 Md. Manirul Ali , Po-Wen Chen , Alec Maassen van den Brink , Hsi-Sheng Goan

The formation of excited dimer states, so called excimers, is an important phenomenon in many organic molecular semiconductors. In contrast to Frenkel exciton-polaron excited states, an excimer is long-lived and energetically low-lying due…

Neuronal cells change their growth properties in response to external physical stimuli such as variations in external temperature, stiffness of the growth substrate, or topographical guidance cues. Detailed knowledge of the mechanisms that…

Biological Physics · Physics 2013-10-10 Elise Spedden , David L. Kaplan , Cristian Staii

The common description of the electrical behavior of a nematic liquid crystal as an anisotropic dielectric medium with (weak) ohmic conductivity is extended to an electrodiffusion model with two active ionic species. Under appropriate, but…

patt-sol · Physics 2008-02-03 Martin Treiber , Lorenz Kramer

Vesicle-mediated secretion of ions or molecules is a central mechanism of cellular communication, for example in processes such as neurotransmission or hormone release. These events are inherently stochastic: vesicle fusions lead to bursts…

Statistical Mechanics · Physics 2026-05-08 Jan Hauke , Julian B. Voits , Ulrich S. Schwarz

Learning and memory may rely on the ability of neuronal circuits to reorganize by dendritic spine remodeling. We have looked for geometrical parameters of cortical circuits, which maximize information storage capacity associated with this…

Biological Physics · Physics 2007-05-23 Armen Stepanyants

We study the flow behavior and unjamming transition in dense assemblies of actively deforming particles that periodically change size, a process that we refer to as breathing. Using extensive molecular dynamics simulations and a…

Soft Condensed Matter · Physics 2025-05-21 Sayantan Ghosh , Magali Le Goff , Pinaki Chaudhuri , Kirsten Martens

Photo-plasticity in semiconductors, wherein their mechanical properties such as strength, hardness and ductility are influenced by light exposure, has been reported for several decades. Although such phenomena have drawn significant…

Materials Science · Physics 2026-02-10 Mingqiang Li , Kun Luo , Xiumei Ma , Boran Kumral , Peng Gao , Tobin Filleter , Qi An , Yu Zou

Several enzymes exhibit enhanced diffusion in the presence of a substrate. One explanation of this enhancement arises from fluctuating dimer models, which suggest that enzymes have a higher diffusion constant when interacting with…

Soft Condensed Matter · Physics 2024-05-14 Amit Singh Vishen , Jacques Prost , Madan Rao

Zinc is found saturated in the deposited Amyloid-beta (AB) peptide plaques in brains of patients subjected to Alzheimer disease (AD). Zinc binding to AB promotes aggregations, including the toxic soluble AB species. Up to now, only the…

Biomolecules · Quantitative Biology 2013-01-09 Yandong Huang , Jianwei Shuai

Alzheimer's disease (AD) is a common neurodegenerative disorder nowadays. Amyloid-beta (A$\beta$) and tau proteins are among the main contributors to the development or propagation of AD. In AD, A$\beta$ proteins clump together to form…

Neurons and Cognition · Quantitative Biology 2025-04-21 Swadesh Pal , Roderick Melnik

The rapidly expanding research in Spintronics, the electronics utilizing the electron spin instead of its charge, is driven by the very interesting potential applications. The actual task is to develop principles for the spin manipulations…

Materials Science · Physics 2009-11-10 A. V. Scherbakov , A. V. Akimov , D. R. Yakovlev , W. Ossau , L. Hansen , A. Waag , L. W. Molenkamp

Alloys expand or contract as concentrations change, and the resulting relationship between atomic volume and alloy content is an important property of the solid. While a well-known approximation posits that the atomic volume varies linearly…

Materials Science · Physics 2020-04-28 A. Landa , J. E. Klepeis , R. E. Rudd , K. J. Caspersen , D. A. Young

Exocytosis is a fundamental process related to the information exchange in the nervous and endocrine system. Among the various techniques, vesicle impact electrochemical cytometry (VIEC) has emerged as an effective method to mimic the…

Subcellular Processes · Quantitative Biology 2024-10-10 Sundeep Kapila , Pradeep R. Nair

Dynamical wiring and rewiring in neural networks are carried out by activity-dependent growth and retraction of axons and dendrites, guided by gudance molecules, released by target cells. Experience-dependent structural changes in cortical…

Neurons and Cognition · Quantitative Biology 2007-05-23 Fail M. Gafarov

A nonlinear viscoelastic theory of nematodynamic type is developed for nematic liquid crystalline (LC) semi-flexible polymers. A measure of transient elastic strain due to the change in length of macromolecular strands under stress, and the…

Condensed Matter · Physics 2007-05-23 A. I. Leonov , V. S. Volkov

Presence of a metal nanoparticle near a quantum dipole emitter, when a localized surface plasmon mode is excited via the resonant coupling with an excited quantum dipole, changes dramatically the relaxation dynamics: it is no longer…

Optics · Physics 2015-06-18 Khachatur V. Nerkararyan , Sergey I. Bozhevolnyi

The influence of the epileptiform neuronal activity on the response of a CMOS-integrated ZrO2-based memristive crossbar and its conductivity was studied. Epileptiform neuronal activity was obtained in vitro in the hippocampus slices of…

We introduce Neuro-Vesicles, a framework that augments conventional neural networks with a missing computational layer: a dynamical population of mobile, discrete vesicles that live alongside the network rather than inside its tensors. Each…

Neural and Evolutionary Computing · Computer Science 2025-12-09 Zilin Li , Weiwei Xu , Vicki Kane