Nonequilibrium transport properties are determined exactly for an adiabatically contacted single-channel quantum wire containing one impurity. Employing the Luttinger liquid model with interaction parameter g, for very strong interactions g less, similar0.2, and sufficiently low temperatures, we find an S-shaped current-voltage relation. The unstable branch with negative differential conductance gives rise to current oscillations and hysteretic effects. These nonperturbative and nonlinear features appear only out of equilibrium.
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http://dx.doi.org/10.1103/PhysRevLett.84.3682 | DOI Listing |
Sci Robot
January 2025
Biorobotics Laboratory, Soft Robotics Research Center, Institute of Advanced Machines and Design, Department of Mechanical Engineering, Institute of Engineering, Seoul National University, Seoul, Republic of Korea.
Snap-through, a rapid transition of a system from an equilibrium state to a nonadjacent equilibrium state, is a valuable design element of soft devices for converting a monolithic stimulus into systematic responses with impulsive motions. A common way to benefit from snap-through is to embody it within structures and materials, such as bistable structures. Torque-reversal mechanisms discovered in nature, which harness snap-through instability via muscular forces, may have comparative advantages.
View Article and Find Full Text PDFBiomimetics (Basel)
December 2024
School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Worms are organisms characterized by simple structures, low energy consumption, and stable movement. Inspired by these characteristics, worm-like soft robots demonstrate exceptional adaptability to unstructured environments, attracting considerable interest in the field of biomimetic engineering. The primary challenge currently involves improving the motion performance of worm-like robots from the perspectives of actuation and anchoring.
View Article and Find Full Text PDFInfect Dis Model
September 2024
Committed Mathematics Team, Research Unit in Mathematics and Applications, Department of Mathematics and Computer Science, University of Dschang, P.O. Box 67 Dschang, Cameroon.
This paper studies an Ebola epidemic model with an exponential nonlinear incidence function that considers the efficacy and the behaviour change. The current model also incorporates a new density-dependent treatment that catches the impact of the disease transmission on the treatment. Firstly, we provide a theoretical study of the nonlinear differential equations model obtained.
View Article and Find Full Text PDFNeural Netw
March 2025
Institute of Physics, Saratov State University, 83 Astrakhanskaya str., 410012 Saratov, Russia. Electronic address:
The widespread development and use of neural networks have significantly enriched a wide range of computer algorithms and promise higher speed at lower cost. However, the imitation of neural networks by means of modern computing substrates is highly inefficient, whereas physical realization of large scale networks remains challenging. Fortunately, delayed-feedback oscillators, being much easier to realize experimentally, represent promising candidates for the empirical implementation of neural networks and next generation computing architectures.
View Article and Find Full Text PDFCogn Neurodyn
April 2024
Department of Physics, Central China Normal University, Wuhan, 430079 China.
Energy absorption and consumption are essential for the activity of single neurons and neuronal networks. The synchronization mode transition and energy dependence in a delay-coupled FitzHugh-Nagumo (FHN) neuronal system driven by chaotic activity are investigated in this paper. With the change of chaotic current intensity, it was found that the synchronization mode of coupled neurons undergoes synchronous state, transition state, anti-phase state, alternating asynchronous and anti-phase state, and chaotic current-induced chaotic state.
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