Abstract: The advances of deep learning (DL) techniques bring new opportunities to numerous intractable tasks in power systems (PSs). Nevertheless, the extension of the application of DL in the domain ...

Rapid industrialization advancements have grabbed worldwide attention to integrate a very large number of electronic ...

Abstract: The geometric renormalization (GR) group of complex networks based on hidden metric space provides a powerful framework for studying the self-similarity of networks. Recent studies have ...

A research paper proposes a fully physically realized model for warp drive. This builds on an existing model that requires negative energy—an impossibility. The new model is exciting, but warp speed ...

ABSTRACT: Because of the interconnection between the cosmic vacuum with non-zero energy density and moving particles, any dynamic system that does not include the cosmic vacuum can not be a closed one ...

ABSTRACT: Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical ...