Institution
Beihang University
Recent research
- Materials & Energy
ABSTRACT Smart windows based on all‐thin‐film electrochromic devices (ECDs) with coordinated visible (VIS) and infrared (IR) modulation offer promising solutions for energy‐efficient buildings. However, conventional single‐layer ECDs often suffer from limited IR modulation, slugg...
- Engineering & TechnologyOpen access
Machine-learning-based model for predicting surface impedance of microslit panels in grazing flow
Accurately predicting the acoustic properties of noise-reduction materials in real-world, flow-exposed environments remains a significant challenge in engineering. Classical models of microslit panels are unsuited for grazing flow conditions due to complex, nonlinear flow-acousti...
- Engineering & Technology
The ability to process organic solar cells (OSCs) in ambient air is a critical prerequisite for industrial-scale production, as it obviates the need for a high-cost inert atmosphere. However, state-of-the-art cathode interlayers (CILs) typically require strongly hydrophilic group...
- Physics & SpaceOpen access
The Kelvin–Helmholtz (KH) instability is a fundamental plasma process in many astrophysical environments; its vortices facilitate solar wind energy transport and plasma mixing. We investigate the energy flux density distribution and fluctuations of a typical KH vortex event obser...
- Materials & Energy
Abstract Lithium-rich manganese-based materials (LRMO) have emerged as ideal cathode materials for high-energy-density lithium-ion batteries due to their high capacity (>250 mAh/g) and low cost. However, the continuous migration and dissolution of transition metal ions (TM...
- Health & MedicineOpen access
OBJECTIVE: To investigate the performance of a free-breathing coronary computed tomography angiography (CCTA) protocol using a high-threshold bolus-tracking strategy in improving coronary enhancement and diagnostic visualization in patients with delayed contrast arrival. MATERIAL...
- Engineering & TechnologyOpen access
Deep-learning-based few-shot synthetic aperture radar (SAR) ship detection has demonstrated considerable potential in scenarios with limited annotated samples and dynamically emerging ship categories, closely matching the practical requirements of maritime surveillance and intell...
- Biology
Encountered-Type 3D Haptic Shape Display by Simulating Finger–Object Contact Regions
Encountered-type pin-array shape displays allow users to freely explore a simulated shape using bare fingers. However, current pin-array shape displays are limited to discontinuous shapes or 2.5D shapes. Here, we propose a novel shape display principle to render touch feedback be...
- AI & Computing
Traditional multimodal video recommendation systems typically focus on semantic synergy across modalities (e.g., text, image, video) by employing attention mechanisms to weight and aggregate features, while overlooking the potential benefits of semantic divergence among modalitie...
- Society & EconomicsOpen access
Spinal cord injury (SCI) profoundly disrupts motor output while also reshaping central motor systems. Motor imagery (MI) provides a valuable window into retained motor-related neural processes because it enables investigation of covert motor state generation in the absence of ove...
- AI & ComputingOpen access
The co-optimization of market participation and user-side service provision is key to ensuring the effective operation of community-shared energy storage systems. In fulfilling this dual role, while user-side storage consumes finite resources, it introduces critical flexibility f...
- Physics & Space
Isomer Effect of Double-Spiro Mechanophores in Polymer Mechanochemistry
Abstract Easy construction of rhodamine spiro rings and diversity of naphthalenediol enable various isomers of the naphthalene-fused double rhodamine structure and provide the possibility to study the structure–performance relationship of double-spiro mechanophores. Herein, we fo...
- Engineering & TechnologyOpen access
Continuous trajectory maintenance is important for aerial vehicle monitoring, threat assessment, and warning or interception decisions in ground-to-air remote sensing systems. In the considered system, radar and radio-frequency (RF) sensing are used together to produce fused aeri...
- Engineering & Technology
Abstract Flexible strain sensors are essential components in wearable electronics and soft robotic systems, yet their reliability is often compromised by the mechanical mismatch and interfacial instability inherent in heterogeneous material integration. Herein, we present an inte...
- Engineering & Technology
Abstract Critical-sized bone defects remain a major clinical challenge, and the periosteum, comprising a highly vascularized outer fibrous layer and an osteogenic inner layer, is crucial for bone repair. Herein, a biomimetic bilayer artificial periosteum (CP-HP) was developed, co...
- Health & MedicineOpen access
ABSTRACT Inter‐set blood‐flow restriction (BFR) may increase the physiological stimulus of repeated‐sprint exercise without compromising mechanical output, but evidence in trained athletes is limited. In a randomized crossover design, 26 national‐level male badminton players comp...
- Engineering & TechnologyOpen access
A novel thermal/environmental barrier coating (T/EBC) composed of a Si-15 mol% HfO 2 bond coat, a Yb 2 SiO 5 -50mol% Yb 2 Si 2 O 7 intermediate layer, and a (Gd 0.2 Dy 0.2 Ho 0.2 Tm 0.2 Yb 0.2 ) 4 Hf 3 O 12 (15SH/50YbMDS/(5RE) 4 Hf 3 O 12 ) top layer was fabricated by air plasma...
- Materials & Energy
Magnetic Insights Into Heterogeneous and Nonequilibrium Electrochemical Reactions
ABSTRACT Electrochemical energy systems are governed by interfacial reactions that are spatially heterogeneous and far from equilibrium, causing deviations from ideal behavior and unexpected phenomena. Despite significant advances, conventional characterization techniques remain...
- Physics & SpaceOpen access
Electrical control of exchange bias in sub-10 nm regime enabled by single-nanotube patterning
Achieving stable magnetization in sub-10 nm ferromagnetic layers represents a fundamental bottleneck in spin-orbit torque magnetic random-access memory development. While exchange bias potentially offers stabilization at such scales through antiferromagnetic coupling, conventiona...
- Materials & Energy
Deep Reinforcement Learning-Guided Design of Broadband Electromagnetic Wave Absorbing Coatings
Abstract Artificial intelligence-assisted design of electromagnetic wave absorbing coatings is often restricted to geometry or topology optimization within fixed materials. Here, we present a modular particle swarm optimization−proximal policy optimization (PSO−PPO) framework for...