Wei Luo

Predicting Gas Adsorption on Dual-Atom Catalysts Embedded in Graphene via Integrated DFT and Machine Learning

Wei Luo, Shuang Hao, Minghui Yao

The rational design of high-performance dual-atom catalysts requires a fundamental understanding of their gas adsorption properties, yet predictive frameworks for these complex systems remain underdeveloped. To address this gap, we systematically investigate the adsorption of CO, CO 2, H 2, and NO …

cn (code pays fourni par la source)

Denoising method for spatial heterodyne interferograms based on a convolutional encoder-decoder and transformer

Wei Luo, Song Yin, Wei Xiong, Ziyang Zhang et autres

The spatial heterodyne spectrometer may be affected by noise during detection, causing target spectral features to be obscured and preventing the acquisition of required information. Therefore, effective methods are needed to reduce the impact of noise on spatial heterodyne interferograms. For spatial …

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Unlocking ultrahigh magnetic element content in soft magnetic amorphous alloys by kinetics dominated deep supercooling circulation

Kebing Wang, Xinyang Zhang, Huan Liu, Wei Luo et autres

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Preparation and properties of acetylene-functional benzoxazines with comparative phenol sources

Wei Luo, Guiyong Chen, Fang Xiong, Yixue Zhou et autres

High heat-resistant polymer materials are required urgently as the fast development of the aerospace field. The cross-linking characteristic of polymers with the acetylene group provides us with an effective strategy. Here, a series of acetylene-functional benzoxazine monomers with different phenolic compounds, TERT-apa, …

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Influence of the Central Metal Atom (Fe and Ni) on the Orr Pathways of Single-Atom Catalysts in N-Doped Graphene: A Dft Study

Wei Luo, Shuang Hao, Buwen Cheng, Minghui Yao

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The workability of the castables bonded with hydrated magnesium carboxylate–organic acid

Jianjun Chen, Donghai Ding, Qingfeng Wang, Ming Liu et autres

Abstract This study modifies the hydration process of hydrated magnesium carboxylate (HMC) by organic acids to improve the workability of HMC‐bonded castables (HMCC), while comprehensively analyzing the effects of organic acids on the mechanical properties and thermal shock resistance of HMCC. Results …

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DiffRaman: A Conditional Latent Denoising Diffusion Probabilistic Model for Bacterial Raman Spectroscopy Identification Under Limited Data Conditions

Haiming Yao, Wei Luo, Ang Gao, Tao Zhou et autres

Raman spectroscopy has attracted significant attention in various biochemical detection fields, especially in the rapid identification of pathogenic bacteria. The integration of this technology with deep learning to facilitate automated bacterial Raman spectroscopy diagnosis has emerged as a key focus in recent …

A deep convolutional neural network for blind element error correction of spatial heterodyne spectrometer using line selective convolutional blocks

S.W Ye, Baijun Dong, Wei Xiong, Ziyang Zhang et autres

cn (code pays fourni par la source)

Application of Supervised Pattern Fault Identification Technology In Y Reservoir

Wei Luo, Bo Zhao, Ning Yin, Xiaochuan Yang et autres

Abstract The Y reservoir in the Tarim Basin is a fault-controlled buried hill reservoir. Affected by factors such as deep embedding depth and high degree of stratum fragmentation, the signal-to-noise ratio of is low and the imaging effect of faults is poor. …

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Dynamic tunable and switchable broadband near-infrared absorption modulator based on graphene-hybrid metasurface

Wei Luo, Syeda Aimen Abbasi, Xuejin Li, Ho‐Pui Ho et autres

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Dynamic Tunable Liquid-Core Photonic Crystal Fiber Sensor Based on Graphene Plasmon

Wei Luo, Syeda Aimen Abbasi, Xuejin Li, Ho‐Pui Ho et autres

Abstract The combination of photonic crystal fiber (PCF) and graphene-supporting surface plasmon polaritons (SPP) presents a new approach to achieving a plasmonic sensor with adjustable properties in the terahertz (THz) frequency range. In this study, we investigate a liquid-core PCF-based graphene plasmonic …

hk, cn (code pays fourni par la source)

A Deep Convolutional Neural Network for Blind Element Error Correction of Spatial Heterodyne Spectrometer Using Line Selective Convolutional Blocks

Baijun Dong, S.W Ye, Wei Xiong, Ziyang Zhang et autres