When institutions, technologies, and platforms co-evolve: a triadic co-evolutionary framework for public health governance in regulated digital service industries. [PDF]
Xiao Y, Liao Z, Zhang H.
europepmc +1 more source
Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang +9 more
wiley +1 more source
An Operational Status Assessment Model for SF<sub>6</sub> High-Voltage Circuit Breakers Based on IAR-BTR. [PDF]
Wang N, Wang Y, Zhang Y, Tang C, Sun C.
europepmc +1 more source
Exceptional Antimodes in Multi‐Drive Cavity Magnonics
Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith +4 more
wiley +1 more source
Analytical multi-body approach for component selection and timing analysis in spring-actuated vacuum circuit breakers. [PDF]
Baniasadi AA, Darijani H, Matin M.
europepmc +1 more source
Ferroionic Electrostatic Landscapes Enabling Wireless Energy Harvesting, Storage, and Sensing
By integrating experiments and electrostatic field simulations, we show that long‐range wireless coupling in Li‐based ferroionics devices emerges from the cooperative interaction between ionic migration and electronic polarization. This coupling sustains self‐polarized electrostatic fields across centimeter‐scale air gaps without external bias or ...
M. Helena Braga +7 more
wiley +1 more source
Reliability assessment method of wind power DC collection system based on MLFTA-SMC. [PDF]
Bai X, Fan Y, Hou J.
europepmc +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
Optimal protection coordination of DOCRs for microgrids using a hybrid deep reinforcement learning and metaheuristic optimization framework. [PDF]
Chen Y.
europepmc +1 more source
Wire resistance and sneak paths severely compromise the performance of large memristor crossbars. A predictive closed‐form distributed line‐resistance model, combined with a fourmatrix geometry‐averaging algorithm, eliminates these parasitic limitations.
Davide Rossetti +5 more
wiley +1 more source

