Artificial intelligence-driven materials development has emerged as a powerful alternative to traditional trial-and-error methods. Despite its promise, these methods often struggle to uncover novel materials or generate actionable insights in emergin... read more
Natural language processing has enabled rapid progress in legal artificial intelligence, but automated review of conflicts between superior and subordinate laws remains largely unexplored. Maintaining consistency across legal hierarchies in Chinese l... read more
This study presents an AI-assisted inverse design methodology for a compact and ultra-wideband grooved half-mode waveguide (G-HMWG) end-fire antenna. A parametric dataset was generated using CST full-wave simulations, and the corresponding radiation-... read more
Accurate short-term solar radiation forecasting is essential for the reliable integration of photovoltaic systems into modern power grids, particularly in regions characterized by strong climatic heterogeneity. This study proposes a Climate-Aware Hyb... read more
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