A multi-disciplinary team of researchers linked atomic-scale features to efficient heat-to-electricity conversion, offering ...

Forgetting feels like a failure of attention, but physics treats it as a fundamental process with a measurable price. At the ...

Abstract: It has become a great challenge to balance accuracy and diversity in recommendation systems. Graph Neural Networks (GNNs), while powerful, can lead to node representation homogeneity and ...

Abstract: In this work, we present a novel method for quantifying irregularity in multi-view graph signals. This approach leverages the concept of dispersion entropy to measure disorder across ...

In this paper, we investigate the thermodynamic properties of black holes under the influence of rainbow gravity. In the metric of Schwarzschild, Reissner-Nordstrom and Reissner-Nordstrom-de Sitter ...