Abstract: A hybrid inverse design framework is proposed for the efficient design of ultra broadband achromatic metalenses with very simple resonant structures. The framework combines a data-driven ...
Abstract: Reliable fault diagnosis in power transformers is paramount for ensuring grid stability and safeguarding critical assets. This paper proposes a novel deep learning-based diagnostic framework ...
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