Xin Yu
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View article: Enabling Coal-Fired Power Flexibility: Wide-Temperature NOx Removal via Strong Electron–Orbital Interaction in Dual-Site Catalysts
Enabling Coal-Fired Power Flexibility: Wide-Temperature NOx Removal via Strong Electron–Orbital Interaction in Dual-Site Catalysts Open
The narrow operating temperature window of commercial V-W/TiO2 catalysts severely limits NOx removal efficiency, especially during low-load boiler operations. To achieve broad-temperature NOx abatement, we developed Ce-M/Ti (M = Co, Fe, Mn…
View article: Blue light induces corneal epithelial damage by activating the NLRP3 inflammasome pathway
Blue light induces corneal epithelial damage by activating the NLRP3 inflammasome pathway Open
Blue light (BL) emitted from light-emitting diodes in digital devices poses significant risks to corneal health, by inducing oxidative stress and inflammation. This research elucidates the function of the NACHT, LRR and PYD domains-contain…
View article: Flow Field Reconstruction and Prediction of Powder Fuel Transport Based on Scattering Images and Deep Learning
Flow Field Reconstruction and Prediction of Powder Fuel Transport Based on Scattering Images and Deep Learning Open
This paper presents the flow field reconstruction and prediction of powder fuel transport systems based on representative feature extraction from scattering images using deep learning techniques. A laboratory-built powder fuel supply syste…
View article: Design of binary constellation for GEO target monitoring based on localized leak-proof observation strategy
Design of binary constellation for GEO target monitoring based on localized leak-proof observation strategy Open
Geosynchronous (GEO) orbit is a significant gathering point for navigation, meteorological, and communications satellites that require close monitoring and protection. To achieve successful observation of GEO objects, we developed a conste…
View article: Modeling Earth-Scale Human-Like Societies with One Billion Agents
Modeling Earth-Scale Human-Like Societies with One Billion Agents Open
Understanding how complex societal behaviors emerge from individual cognition and interactions requires both high-fidelity modeling of human behavior and large-scale simulations. Traditional agent-based models (ABMs) have been employed to …
View article: Bridging Theory and Experiment in Materials Discovery: Machine-Learning-Assisted Prediction of Synthesizable Structures
Bridging Theory and Experiment in Materials Discovery: Machine-Learning-Assisted Prediction of Synthesizable Structures Open
Even though thermodynamic energy-based crystal structure prediction (CSP) has revolutionized materials discovery, the energy-driven CSP approaches often struggle to identify experimentally realizable metastable materials synthesized throug…
View article: Compact silica dual-band wavelength demultiplexer based on asymmetric-defined multimode interference coupler
Compact silica dual-band wavelength demultiplexer based on asymmetric-defined multimode interference coupler Open
Limited refractive index difference of silica waveguide brings great size challenges in wavelength demultiplexing. A silica dual-band wavelength demultiplexer (DBWD) based on an asymmetric multimode interference coupler (MMI) is demonstrat…
View article: Simultaneous 10 kHz PIV/OH-PLIF/chemiluminescence and conjoint data analysis approach for thermoacoustic oscillation near lean blowout
Simultaneous 10 kHz PIV/OH-PLIF/chemiluminescence and conjoint data analysis approach for thermoacoustic oscillation near lean blowout Open
Simultaneous multi-parameter experimental data characterizing the flow-combustion interaction process are of great significance for understanding the flame instability mechanism in combustion systems. In this study, we present simultaneous…
View article: Hierarchical Porous Carbons Derived from Coal/Heavy Oil Hydrogenation co-refining Residue: Activation Strategy and Supercapacitor Applications
Hierarchical Porous Carbons Derived from Coal/Heavy Oil Hydrogenation co-refining Residue: Activation Strategy and Supercapacitor Applications Open
View article: Hierarchical Porous Carbons Derived from Coal/Heavy Oil Hydrogenation co-refining Residue: Activation Strategy and Supercapacitor Applications
Hierarchical Porous Carbons Derived from Coal/Heavy Oil Hydrogenation co-refining Residue: Activation Strategy and Supercapacitor Applications Open
View article: MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset
MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset Open
Isolated Sign Language Recognition (ISLR) focuses on identifying individual sign language glosses. Considering the diversity of sign languages across geographical regions, developing region-specific ISLR datasets is crucial for supporting …
View article: Exploiting Hierarchical Symmetry in Multi-Agent Reinforcement Learning
Exploiting Hierarchical Symmetry in Multi-Agent Reinforcement Learning Open
Achieving high sample efficiency is a critical research area in reinforcement learning. This becomes extremely difficult in multi-agent reinforcement learning (MARL), as the capacity of the joint state and action space grows exponentially …
View article: RETRACTED: Visualization of Görtler vortices in high–enthalpy plasma flow using planar laser-induced fluorescence
RETRACTED: Visualization of Görtler vortices in high–enthalpy plasma flow using planar laser-induced fluorescence Open
The authors have requested that this preprint be removed from Research Square.
View article: High uniformity Bessel beams with angle-controllable steering
High uniformity Bessel beams with angle-controllable steering Open
Bessel beams with controllable output angles and uniform intensity distribution along the propagation direction have critical applications in many fields. This paper introduces a novel method to generate high uniformity, high signal-to-noi…
View article: 3DRealCar: An In-the-wild RGB-D Car Dataset with 360-degree Views
3DRealCar: An In-the-wild RGB-D Car Dataset with 360-degree Views Open
3D cars are commonly used in self-driving systems, virtual/augmented reality, and games. However, existing 3D car datasets are either synthetic or low-quality, limiting their applications in practical scenarios and presenting a significant…
View article: Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning Open
Incorporating symmetry as an inductive bias into multi-agent reinforcement learning (MARL) has led to improvements in generalization, data efficiency, and physical consistency. While prior research has succeeded in using perfect symmetry p…
View article: Research Progress of High-Speed Data Transmission Technology for Lightweight and Small-Sized Unmanned Aerial Vehicle Platforms
Research Progress of High-Speed Data Transmission Technology for Lightweight and Small-Sized Unmanned Aerial Vehicle Platforms Open
With the continuous development of science and technology, UAV technology has been widely used in various fields. As an essential part, light and small UAV platforms have the advantages of being small, lightweight, and easy to operate and …
View article: RETRACTED: Visualization of Görtler vortices in high–enthalpy plasma flow using planar laser-induced fluorescence
RETRACTED: Visualization of Görtler vortices in high–enthalpy plasma flow using planar laser-induced fluorescence Open
The authors have requested that this preprint be removed from Research Square.
View article: A Neural Network-Based Flame Structure Feature Extraction Method for the Lean Blowout Recognition
A Neural Network-Based Flame Structure Feature Extraction Method for the Lean Blowout Recognition Open
A flame’s structural feature is a crucial parameter required to comprehensively understand the interaction between turbulence and flames. The generation and evolution processes of the structure feature have rarely been investigated in lean…
View article: Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning Open
Incorporating symmetry as an inductive bias into multi-agent reinforcement learning (MARL) has led to improvements in generalization, data efficiency, and physical consistency. While prior research has succeeded in using perfect symmetry p…
View article: Research on the Impact of Special Additional Deductions for Personal Income Tax and Related Fee Reductions and Exemptions on Fertility Intention
Research on the Impact of Special Additional Deductions for Personal Income Tax and Related Fee Reductions and Exemptions on Fertility Intention Open
According to data from the seventh national census, China's population growth rate continues to slow down, the expected population target has not yet been achieved, and the era of aging and low birthrate is accelerating. In this context, t…
View article: Changes in Soil Chemical Properties and Rhizosphere Bacterial Community Induced by Soil Amendments Associated with Reduction in Cadmium Accumulation by Rice
Changes in Soil Chemical Properties and Rhizosphere Bacterial Community Induced by Soil Amendments Associated with Reduction in Cadmium Accumulation by Rice Open
Soil amendments have been extensively employed for the purpose of remediating soils contaminated with cadmium (Cd). However, the potential impacts of soil amendments on soil chemical properties, soil Cd bioavailability, total Cd accumulati…
View article: ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning Open
Multi-agent reinforcement learning (MARL) has achieved promising results in recent years. However, most existing reinforcement learning methods require a large amount of data for model training. In addition, data-efficient reinforcement le…
View article: A self-sustaining mechanism for Internal Transport Barrier formation in HL-2A tokamak plasmas
A self-sustaining mechanism for Internal Transport Barrier formation in HL-2A tokamak plasmas Open
The formation of Internal Transport Barrier (ITB) is studied in HL-2A plasmas by means of nonlinear gyrokinetic simulations. A new paradigm for the ITB formation is proposed in which different physics mechanisms play a different role depen…
View article: Nonlinear Fourier analysis of matter-wave soliton interferometry
Nonlinear Fourier analysis of matter-wave soliton interferometry Open
The bright solitons in quasi-1D atomic Bose-Einstein condensates are good candidates for constructing matter-wave interferometers with high sensitivity and long phase-accumulation times. Such interferometers at the mean-field level can be …
View article: Pre-Shaped Burst-Mode Hybrid MOPA Laser System at 10 kHz Pulse Frequency
Pre-Shaped Burst-Mode Hybrid MOPA Laser System at 10 kHz Pulse Frequency Open
A temporal pre-shaped burst-mode hybrid fiber-bulk laser system was illustrated at a 10 kHz rate with a narrow spectral linewidth. A theoretical model was proposed to counteract the temporal profile distortion and compensate for the desire…
View article: Flame features and oscillation characteristics in near-blowout swirl-stabilized flames using high-speed OH-PLIF and mode decomposition methods
Flame features and oscillation characteristics in near-blowout swirl-stabilized flames using high-speed OH-PLIF and mode decomposition methods Open
Flame features and dynamics are important to the explanation and prediction of a lean blowout (LBO) phenomenon. In this paper, recognition of near-LBO flame features and oscillation characterization methods were proposed based on flame spe…
View article: 100 kHz Narrow-Linewidth Burst-Mode MOPA Laser System With Uniform Envelope
100 kHz Narrow-Linewidth Burst-Mode MOPA Laser System With Uniform Envelope Open
In this study, a 100-kHz narrow-linewidth burst-mode laser system combined with a master oscillator power amplifier (MOPA) structure was reported with a stable pulse burst profile over 2 ms duration. A theoretical model was established to …
View article: Study on machining characteristics with variable distribution density micro-texture tools in turning superalloy GH4202
Study on machining characteristics with variable distribution density micro-texture tools in turning superalloy GH4202 Open
Micro texture tool (MTT) with variable distribution density was proposed, and the novel MTT can adapt to different friction states in the tool chip contact area and maintain good anti-friction and wear resistance. The novel MTTs were compo…
View article: A Lens-Array-Based Measurement Technique for Spatial Angle
A Lens-Array-Based Measurement Technique for Spatial Angle Open
Accurate measurement of the spatial angle is key for plane flatness and guide rail straightness detection. This paper presents a lens-array-based optical system and an analytical model for micro-spatial angle measurements. In this system, …