Abstract: Mine water disasters pose significant safety challenges to mining operations, often resulting in substantial casualties and property losses. This study focuses on two key issues following mine water inrushes: modeling the propagation patterns of water flow (dynamic propagation modeling for single-point water inrushes) and optimizing personnel escape routes (optimizing optimal escape paths for miners during water inrush scenarios). First, based on rectangular roadway cross-section characteristics … Read More

Abstract: In response to the core problems of feature heterogeneity, difficult alignment, low quality control efficiency, and insufficient standardization in the governance and compilation of multimodal geographic surveying and mapping data such as vectors, grids, text, and 3D point clouds, this paper proposes a large model driven full process compilation technology solution. Constructing a four level integration framework of "data access feature processing quality control standardized output", this … Read More

Abstract: With the exploding demands of high power output and fast charging capability on electric vehicles, in consumer electronics, power tools, aerospace, grid scale, etc., high-rate capability LIBs are highly desired for their wide range of applications. The graphite—anode with the highest commercial success so far—has fundamental limitations for the high-rate chargeability of LIBs because it has a small layer-to-layer distance andprolonged lithiation/delithiation diffusion paths, and an elevated … Read More

Abstract: This article focuses on the influence of air resistance on object motion, and constructs and compares four models: constant resistance, linear resistance, quadratic resistance, and polynomial resistance. The analytical forms of velocity and displacement were derived at the theoretical level, and the evolution of motion over time was visually presented through Python numerical simulation. The results indicate that different forms of resistance determine the existence and magnitude of the ultimate … Read More

Abstract: As the global energy mix accelerates toward a clean and sustainable system, accurate and reliable photovoltaic power generation forecasting is crucial for ensuring grid stability and optimizing resource allocation. This study aims to improve the day-ahead forecasting performance of photovoltaic power generation under high-volatility scenarios. A collaborative forecasting model based on Bayesian Optimization (BO) and LightGBM is proposed, supplemented by a K-means clustering and partitioning … Read More

Abstract: With the global energy transition and rising environmental awareness, electric energy substitution (EES) has emerged as a clean and efficient energy consumption model, crucial for promoting sustainable energy development. As a major economic powerhouse in China, Guangdong Province's implementation of its EES strategy serves as a demonstration model for regional green and low-carbon development. This paper conducts an in-depth study of the future development models for Guangdong's EES strategy. … Read More

Abstract: Silicon Carbide (SiC), as a third-generation semiconductor material, is widely used in electronic devices operating in extreme environments such as high temperature and high pressure. The thickness of the epitaxial layer greatly impacts the performance of SiC devices, making its precise measurement crucial. Infrared interferometry is a commonly used non-destructive measurement method, but existing studies often neglect the multi-beam interference effect. This paper proposes an improved method … Read More

Abstract: To address the vulnerability of Integrated Energy Systems (IES) to disruptions and enhance their resilience, this study employs an approach integrating Energy Routers (ER) into IES. The study minimizes total cost as the objective function and defines Expected Energy Not Supplied (EENS) as the core resilience metric. Focusing primarily on power systems and electrical loads, it employs randomly generated scenarios to compare traditional Business-As-Usual (BAU) operation with the innovative … Read More

Abstract: With the rapid advancement of industrialization, the refractory organic pollutants and heavy metal ions contained in industrial wastewater have become a core problem in water environment governance. Both conventional adsorption and conventional semiconductor photocatalytic technologies have obvious limitations in terms of efficiency and sustainability. In recent years, graphene materials have been widely used to construct highly efficient photocatalytic systems due to their excellent electrical … Read More

Abstract: Today in light of the growing demand for comprehensive health monitoring, technologies that can capture human physiological signals and chemical biomarkers in biological fluids simultaneously have become essential. As well as, due to its exceptional electrical and mechanical properties and biocompatibility, graphene is an ideal material for constructing multifunctional and multimodal wearable sensing platforms, offering a solution for real-time, non-invasive health monitoring. This paper … Read More

Abstract: In recent years, perovskite solar cells have developed rapidly, whose photoelectric conversion efficiency has exceeded 27%. As an important part of it, the electron transport layer affects the performance and stability of the battery. The film-forming quality, interface defect passivation, charge extraction and transport of perovskite solar cells are closely related to the electron transport layer, and are also the key to breaking through the performance bottleneck. Therefore, systematically … Read More