Jingyin Huang

Abstract We employ real-time time-dependent density functional theory (rt-TDDFT) to calculate third-order nonlinear optical properties in solids, focusing on the optical Kerr effect: the Kerr coefficient n2, the two-photon absorption coefficient β, and the Kerr-type third-order susceptibility χ(3)(− ω∣ω, ω, − ω). We consider centrosymmetric bulk materials, including semiconductors (diamond, silicon) and metals (gold, iridium), and benchmark our results against available experimental data.

Information Center of Guangdong Power Grid Co., Ltd., Guangzhou, China Introduction: To address the issues of concept drift and scarcity of anomaly samples in real-time anomaly detection under the massive streaming data environment of power dispatching and control systems, this study focuses on developing an effective detection method. Methods: We propose a streaming data anomaly detection method integrating adaptive isolation forests and self-supervised learning.