2594 papers
This study demonstrates that distributed acoustic sensing on existing submarine telecom cables can detect minute open-ocean tsunami signals, enabling the reconstruction of wavefields and the provision of 5 to 15 minutes of early warning for coastal impacts.
This study demonstrates that the directional variability of horizontal earthquake response spectra is primarily a finite-sample stochastic effect governed by the duration-to-period ratio, rather than intrinsic physical anisotropy, and presents a parsimonious probabilistic model that accurately reproduces observed anisotropy patterns to improve ground-motion modeling and seismic hazard analysis.
This critical review maps the maturity of AI methods across the sensor development pipeline, distinguishing between commercially deployed capabilities in areas like calibration and materials screening versus largely projected claims of end-to-end lifecycle compression, while identifying key data gaps and conditions for future validation.
This study demonstrates the feasibility of fabricating functional, miniaturized radiofrequency antennas directly on heterogeneous potato skin using laser-induced graphene, proving their resonant operation at 5.8 GHz and viability in simulated physiological environments for potential food-derived wireless electronics.
This paper develops a saturation-aware analytical model to compare 3-, 4-, and 6-phase 12/10 switched reluctance motors, identifying the optimal phase configuration that minimizes torque ripple and radial force fluctuations to enhance bearingless drive stability and hemocompatibility for blood pump applications.
This paper presents a 350 nm CMOS-based ASIC that enables cost-effective, high-throughput NMR spectroscopy by simultaneously acquiring and multiplexing signals from four distinct samples or nuclei, demonstrating successful multi-nucleus detection with manageable signal-to-noise ratio degradation that is effectively mitigated through signal averaging.
This study develops a GA-BP neural network model, validated by a 3D finite element simulation, to rapidly assess the integrity of buried natural gas pipelines under surcharge loading and successfully identified a potential failure risk in an in-service pipeline within the Penglai Dengying Block.
This study combines experimental, numerical, and probabilistic approaches to demonstrate that thinner plates and improved weld geometry significantly enhance the fatigue strength of lightweight welded structures, revealing a pronounced "thinness effect" that challenges current design procedures and supports the development of more sustainable high-performance products.
This paper presents a numerical model using a level set method to analyze the thawing dynamics of frozen rocks around an injection well during water-polymer flooding, revealing that well rate and solution temperature are the primary factors influencing thawing, with high temperatures posing significant risks to surface equipment in unconsolidated formations.
This paper presents a physics-based, machine-learning-accelerated electrothermal framework that efficiently compares the performance of ultra-high-voltage SiC IGBTs, SiC MOSFETs, and their series-connected silicon counterparts under hard and soft switching, revealing that while SiC IGBTs excel in low-to-medium frequency zero-voltage switching, series-connected SiC MOSFETs offer superior performance under hard switching conditions.