Abstract: Physics-informed neural networks (PINNs) offer a flexible framework for solving differential equations using physical constraints and data. This study focuses on second-order ...
In Hangzhou, potstickers aren’t just cooked, they’re engineered. Balancing starch gelatinization and oil thermodynamics, local chefs have mastered a formula that defines perfection in texture. Beneath ...
Abstract: Differential beamforming techniques have gained significant attention due to their frequency-independent beampatterns, applicability for small apertures, and super-directivity. It is ...
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