Nonlinear transport of electron crystal floating on superfluid 4He is investigated in channels 8 and 15 mum in width, where the electron velocity and driving electric field are uniform. At a high excitation, we observe a jump in the velocity caused by the decoupling of the electrons from the underlying surface deformation. The obtained driving field at the jump indicates that the decoupling occurs from the dynamically deepened surface deformation as a result of the Bragg-Cherenkov scattering of surface waves. Our results also account for the unusual nonlinear transport reported by Glasson et al. [Phys. Rev. Lett. 87, 176802 (2001)10.1103/PhysRevLett.87.176802] considering the electrode geometry.
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Sensors (Basel)
January 2025
Department of Computer Science, King AbdulAziz University, Jeddah 21589, Saudi Arabia.
Traffic flow prediction is a pivotal element in Intelligent Transportation Systems (ITSs) that provides significant opportunities for real-world applications. Capturing complex and dynamic spatio-temporal patterns within traffic data remains a significant challenge for traffic flow prediction. Different approaches to effectively modeling complex spatio-temporal correlations within traffic data have been proposed.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Research Applications Laboratory, NSF National Center for Atmospheric Research, Boulder, CO 80301.
Precipitation recycling, where evapotranspiration (ET) from the land surface contributes to precipitation within the same region, is a critical component of the water cycle. This process is especially important for the US Corn Belt, where extensive cropland expansions and irrigation activities have significantly transformed the landscape and affected the regional climate. Previous studies investigating precipitation recycling typically relied on analytical models with simplifying assumptions, overlooking the complex interactions between groundwater hydrology and agricultural management.
View Article and Find Full Text PDFSci Adv
January 2025
NanoSpin, Department of Applied Physics, Aalto University School of Science, P.O. Box 15100, FI-00076 Aalto, Finland.
Magnonics, which harnesses the unique properties of spin waves, offers promising advancements in data processing due to its broad frequency range, nonlinear dynamics, and scalability for on-chip integration. Effective information encoding in magnonic systems requires precise spatial and temporal control of spin waves. Here, we demonstrate the rapid optical control of spin-wave transport in hybrid magnonic-plasmonic structures.
View Article and Find Full Text PDFHeliyon
January 2025
College of Transport and Communications, Shanghai Maritime University, Shanghai, 201306, China.
There is a direct and close relationship between ship emissions in port waters and the operational status of the ships. Precisely identifying the operational status of ships in port waters and thoroughly exploring the specific relationship between these activities and ship emissions is crucial for achieving accurate control and scientific reduction of emissions from ships in port areas. With advancements in technology, AIS data can accurately capture the operational status of ships, facilitating a macro-level analysis of ship behavior and emission characteristics.
View Article and Find Full Text PDFACS Nano
January 2025
The Key Laboratory of Weak Light Nonlinear Photonics, Ministry of Education, School of Physics and Teda Applied Physics Institute, Renewable Energy Conversion and Storage Center, State Key Laboratory of Photovoltaic Materials and Cells, Nankai University, Tianjin 300071, China.
Nanofluidics is an interdisciplinary field of study that bridges hydrodynamics, statistical physics, chemistry, materials science, biology, and other fields to investigate the transport of fluids and ions on the nanometric scale. The progress in this field, however, has been constrained by challenges in fabricating nanofluidic devices suitable for systematic investigations. Recent advances in two-dimensional (2D) materials have revolutionized the development of nanofluids.
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