Nanjing University of Aeronautics and Astronautics

Multi-Objective Distributed Task Allocation for UAV Swarms with Limited Interactions

Unmanned Aerial Vehicles (UAVs) have experienced rapid development due to their advantages of low cost, high efficiency, flexibility, reliability, and strong environmental adaptability. To fully leverage the potential of UAV swarms in multi-task scenarios, optimizing task allocat...

Numerical Investigation of Stepped Ram-Air Inlets for Air Capture and Thermal Management in a UAV Power Cabin

Unmanned aerial vehicles (UAVs) used in low-altitude mobility and electric aviation are increasingly required to carry higher payloads, operate for longer durations and maintain reliable performance under constrained installation conditions. In compact power cabins, batteries, co...

A Physics-Informed Multi-Scale Diffusion Model Framework for Physical Field Imputation from Randomly Missing Data

Abstract Non-intrusive optical measurement techniques are widely used to obtain high-resolution pressure, temperature, and velocity fields, but they often suffer from random data loss caused by geometric obstruction, surface reflection, or illumination non-uniformity. Conventiona...

Comparison of Nonlinear Dynamics for Rotor Supported by Aerostatic Journal Bearings with Small-Hole and Micro-Hole Restrictors

Aerostatic journal bearings with small-hole restrictors are widely adopted due to their superior stiffness, making them effective solutions to meet the growing demands for improved stability and higher rotational speeds in precision machinery. In this study, the nonlinear dynamic...

A novel enhanced triboelectric nanogenerator based on interlocking micro/nanostructures

Triboelectric nanogenerators (TENGs) convert mechanical energy through contact electrification and electrostatic induction, with performance strongly affected by interfacial topography. Here, we report an interlocking micro/nanostructure-enhanced TENG (ILMS-TENG) fabricated by fe...

Non-solvating additives regulate zinc deposition through anion-gated Stern-layer competition

Abstract While additive-induced modulation of solvation structure has emerged as an effective strategy to enhance the performance of aqueous zinc-ion batteries, the electrochemical mechanisms by which non-solvation additives interact with ion species within the electric double la...

Spatio-Temporal Evolution of Tip Leakage Flow in a Low-Speed Axial Compressor

Abstract Tip leakage flow (TLF) is a critical flow phenomenon governing the efficiency and stability of axial compressors. While its steady-state flow structure is broadly understood, its inherent unsteady nature and spatio-temporal evolution from stable to unstable conditions re...

Study on Curing Kinetics and Viscosity Modeling of High‐Performance Bismaleimide Resin

ABSTRACT Bismaleimide (BMI) resin is widely used in high‐performance composites, and its curing and rheological behavior are crucial for process design. In this study, a three‐component BMI resin composed of diphenylmethane‐type bismaleimide resin, T‐type bismaleimide resin, and...

Charge-ResonancePolymerization at Donor–AcceptorInterfaces Enables Large-Area Organic Magnetic Membranes

Abstract Electron acceptors such as tetracyanoquinodimethane (TCNQ) and its fluorinated analogue F4TCNQ are foundational to charge-transfer and doping chemistry. At interfaces formed by deposition of these acceptors onto donor substrates, reduced anionic species can naturally coe...

Multi‐Heterovalent Defect Complexes for Enhanced Capacitive Energy Storage in High‐Entropy Ceramic Capacitors

ABSTRACT The proliferation of smart electronic devices such as drones has driven an urgent demand for ceramic capacitors with both high energy storage performance (ESP) and reliable thermal monitoring capability. Conventional strategies often suffer from a trade‐off between maxim...

Surface micro-structuring of TC6 alloy by diamond grit tool

In response to the escalating demand for functional surfaces in marine applications and aerospace, this study investigates the precision fabrication of microstructured surfaces on TC6 using structured diamond grit tools. A novel kinematic model is developed to reveal the formatio...

Research on intelligent content generation and adaptive presentation in virtual simulation scenarios

Virtual simulation technologies have become indispensable in education, medical training, psychological therapy, and industrial applications. However, traditional virtual systems rely heavily on static pre-designed content and simple rule-based adaptations, resulting in limited p...

Programmable Bandgap in a Topological Semimetal Enables Zero‐Bias UV/NIR Dual Band Photodetection and Optical Encryption Applications

ABSTRACT The monolithic integration of ultraviolet (UV) and near‐infrared (NIR) photodetection in a single device is fundamentally constrained by the inherent spectral crosstalk and architectural complexity of traditional heterostructures. Herein, we circumvent these limitations...

An ElectronicallyCoupled Interfacial Energy Descriptorfor Predicting Coulombic Efficiency in Aqueous Zinc Batteries

Abstract Solid–liquid interfaces dictate the performance and longevity of aqueous batteries. While rationally designed electrolyte additives offer a potent strategy to stabilize these interfaces, the complex interactions between additives and metal surfaces are difficult to isola...

Fractional‐Order Modeling and Gain Curve Analysis of Full‐Bridge CLLC Resonant Converter

ABSTRACT Based on fractional calculus theory and the fact that inductors and capacitors inherently exhibit fractional‐order characteristics, this paper extends the traditional first harmonic approximation (FHA) method from the integer‐order domain to the fractional‐order domain t...

SPFMamba: A Mamba-Based Network with Semantic Prompt and Frequency-Adaptive Fusion for Remote Sensing Image Semantic Segmentation

Modern remote sensing images (RSIs) provide increasingly fine spatial detail, making pronounced scale variations and complex spatial distributions of land-cover classes more apparent and thereby increasing the difficulty of semantic segmentation. Recent remote sensing semantic se...

Few-Shot SAR Object Detection with Prior Class Perceptron and Cross-Entropy

Few-Shot Synthetic Aperture Radar (SAR) object detection aims to identify and localize unseen categories using only a small number of annotated support samples. However, performance is fundamentally constrained by two coupled challenges: speckle noise and structured clutter cause...