Hui Xiang

Research on the influencing factors of drilling holes in composite materials with a stepped drill based on ultrasonic vibration tools

Liuwei Xiao, Jinhui Song, Hui Xiang, Xiaobo Fan et autres

Abstract This paper conducts an ultrasonic vibration drilling experiment on carbon fiber composite materials using an ultrasonic vibration tool. Microscope measurement is employed to further investigate the influence of ultrasonic vibration, dampers, and rotational speed on the drilling quality. The results show …

cn (code pays fourni par la source)

PINN-based reconstruction of frequency spatiotemporal characteristics in power systems

Di Liu, Yuhao Ma, Hui Xiang, Ningning Ma

Integrating renewable energy sources into power grids has led to prominent electromagnetic and frequency oscillation challenges. Analysing these oscillation mechanisms is inherently complex due to the lack of analytical solutions and the difficulties in accurate modelling. This paper focuses on mechanical oscillations …

cn (code pays fourni par la source)

AeroDiT: Diffusion transformers for Reynolds-averaged Navier–Stokes simulations of airfoil flows

Chunyang Wang, Biyue Pan, Zhengxiong Dai, Yuan Ma et autres

Real-time and accurate prediction of aerodynamic flow fields around airfoils is crucial for flow control and aerodynamic optimization. However, achieving this remains challenging due to the high computational costs and the non-linear nature of flow physics. Traditional computational fluid dynamics methods face …

cn, gb (code pays fourni par la source)

Electrochemical/Fe Dual-Catalyzed Perfluoroalkylation-Thiolation of Alkenes

Wanxiang Wang, Hui Xiang, Haiping Zhou, Wei Chen

A novel electrochemical/Fe dual-catalyzed perfluoroalkylation-thiolization of alkenes under mild conditions has been developed. This protocol utilizes commercially available reagents, cheap electrodes, and simple equipment. Diverse polyfunctionalized perfluoroalkyl-substituted derivatives were successfully obtained in a direct and efficient way with a broad substrate scope …

cn (code pays fourni par la source)

Palladium-Catalyzed 2,2’-Dichalcogenation of Cyclic Diaryliodonium Salts

Pingbing Yu, Hui Xiang, Zhaoyue Wen, Wei Chen

A novel palladium-catalyzed one-step dichalcogenation of cyclic diaryliodonium salts using readily available chalcogen sources (R-SH/-SeH) is described. This method enables the efficient synthesis of a diverse range of 2,2'-dichalcogenated biaryls under mild reaction conditions and achieves modest to good yields. Notably, this …

cn (code pays fourni par la source)

Physics-informed neural networks for the Korteweg–de Vries equation for internal solitary wave problem: Forward simulation and inverse parameter estimation

Ming Kang, Qiwen Tan, Zhan Wang, Ruipeng Li et autres

Physics-informed neural networks have emerged as a transformative framework for addressing operator learning and inverse problems involving the Korteweg–de Vries (KdV) equation for internal solitary waves. By integrating physical constraints with data-driven optimization, PINNs overcome the critical challenges of parameter unmeasurability in …

cn (code pays fourni par la source)

Physics-Informed Neural Networks for the Korteweg-de Vries Equation for Internal Solitary Wave Problem: Forward Simulation and Inverse Parameter Estimation

Ming Kang, H. Li, Qiwen Tan, Zhan Wang et autres

Physics-informed neural networks (PINNs) have emerged as a transformative framework for addressing operator learning and inverse problems involving the Korteweg-de Vries (KdV) equation for internal solitary waves. By integrating physical constraints with data-driven optimization, PINNs overcome the critical challenges of parameter unmeasurability …

Artificial Intelligence in Renewable Energy Systems: Applications and Security Challenges

Hui Xiang, Xiaolei Li, Xiao Liao, Wei Cui et autres

In the context of the global active pursuit of sustainable development and the heightened priority placed on sustainable energy, renewable energy systems, as a crucial solution to energy crises and environmental challenges, are of increasing significance. The extensive development and utilization of …

cn (code pays fourni par la source)

Melatonin Mitigates Acidosis-Induced Neuronal Damage by Up-Regulating Autophagy via the Transcription Factor EB

Yan Shi, Zhaoyu Mi, Wei Zhao, Hu Yue et autres

Acidosis, a common feature of cerebral ischemia and hypoxia, results in neuronal damage and death. This study aimed to investigate the protective effects and mechanisms of action of melatonin against acidosis-induced neuronal damage. SH-SY5Y cells were exposed to an acidic environment to …

cn (code pays fourni par la source)

Decode the Dark Side of the Language: Applications of LLMs in the Dark Web

Hongfan Chen, Yigang Diao, Hui Xiang, Yixuan Huo et autres

Previous studies have discovered that Transformers pre-trained on large scale datasets have a great advantage over traditional methods and can achieve human-level performance in many NLP tasks. Various encoder-only models like BERT and RoBERTa are used in the researches of the language …

cn (code pays fourni par la source)

Identifying Data Breaches in Dark Web through Prompt Active Learning

Hui Xiang, Yifan Wu, Xuebin Wang, Jinqiao Shi et autres

Frequent data breaches have attracted people’s attention. The dark web forums have become the crucial platform for data breach transactions. While some forums are well-organized with distinct sections, such as a dedicated area for leaks where most threads are related to data …

cn (code pays fourni par la source)

Large-Scale Vision Transformer Model for Image Recognition in Power System

Yiping Zhou, Zhen Qiu, Hui Xiang, Jun Tao et autres

Large-scale vision models have achieved significant results across various tasks, including image segmentation, image classification, object detection. However, due to the variations in resolution, object scales, shapes, and textures inherent in power images, the application of large-scale vision models in the power …

cn (code pays fourni par la source)