Beijing Institute of Technology

Orientation-tunable correlated Chern insulating states in chiral twisted double bilayer graphene proximitized by WSe2

Moiré flat bands in graphene systems proximitized by transition-metal dichalcogenides (TMDCs) provide a setting where spin-orbit coupling (SOC) can reshape band topology. The crystallographic alignment angle Φ between TMDC and graphene layers is predicted to tune the balance of I...

Metal CoordinationCompounds Base on Cyanoborohydrideand 2-Imidazolidinone: Activity Fuels for Hypergolic and APComposite Propellant Applications

Abstract To develop activity fuels for dual application propellant systems, two novel metal coordination compounds based on Cyanoborohydride (CBH) and 2-imidazolidinone (2-IO), Mn(2-IO)4CBH2 (CBH-1) and Co(2-IO)4CBH2 (CBH-2), were successfully synthesized. Their potential to serv...

Molecular Doping Induced High‐Performance Filterless Red‐Light Organic/Perovskite Photodetectors for Quantitative Analysis of Medical Photosensitizer Materials

ABSTRACT Red‐light narrowband photodetectors play indispensable roles in the photomedical industry, particularly in applications such as fluorescence imaging, photodynamic therapy, and non‐invasive optical diagnostics. Herein, we introduce a novel device architecture (OP‐PDs) tha...

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...

Resolving the Mechano‐Electrochemical Dilemma in Structural Batteries via In Situ Entropy Engineering

ABSTRACT Structural batteries (SBs) offer a revolutionary approach to massless energy storage, but suffer from severe capacity degradation and mechanical failure due to coupled electrochemical and mechanical stresses, particularly when employing high‐energy layered cathodes. Here...

From Data to Decision:A Closed-Loop Framework forCo-Optimizing Energy Recovery and SO2 Control in SludgeGasification

Abstract The rapid expansion of urban wastewater treatment has rendered the sustainable management of sludge a global environmental challenge. Gasification technology is emerging as a promising treatment pathway due to its high conversion efficiency and resource recovery potentia...

Predictive Value of Imaging Indicators for Disease Progression in Acute Stanford Type B Aortic Intramural Hematoma Without Ulcer-like Lesions

PURPOSE: To investigate the clinical outcomes of acute Stanford type B intramural hematoma (TBIMH) without ulcer-like lesions following medical management and to identify predictors of disease progression. MATERIALS AND METHODS: A retrospective analysis was performed on patients...

Hippopotamus optimization based control approach for performance enhancement of photovoltaic systems

Photovoltaic (PV) systems are widely integrated into the conventional power grid. It becomes a fundamental way for the energy landscape. One of the major challenges in deploying these technological resources is the grid’s instability. Therefore, enhancing the control strategy is...

Metallomacrocyclic Ligands Stabilized Icosahedral Superatomic Nanoclusters With NIR‐I to NIR‐II Phosphorescence Modulation

ABSTRACT Coinage metal nanoclusters with near‐infrared‐II (NIR‐II, λ PL > 1000 nm) photoluminescence hold great promise for biological applications. Here, we report the first icosahedral M 13 cluster exhibiting NIR‐II phosphorescence, achieved through an unprecedented metallom...

Hybrid intelligent strategy driving high-dimensional encrypted orbital angular momentum comb multicasting towards optical data-transmission networks

Abstract Achieving higher degrees and dimensions of light is one of the accessible paths for increasing the capacity of optical data-transmission systems. Orbital angular momentum (OAM), owing to its infinite and mutually orthogonal nature, offers a promising carrier for high-cap...

Hierarchical DefectEngineering for Spectral PhononControl in Monolayer MoS2

Abstract Two-dimensional (2D) transition-metal dichalcogenides are attractive for nanoelectronics and energy harvesting, where thermal transport critically impacts device reliability, performance, and energy efficiency. Here, we establish hierarchical defect engineering in monola...

Numerical Study on Heat-Drag Reduction for Hypersonic Vehicles via Integrated Aerospike-Jet Configuration

Hypersonic vehicles are constrained by severe aerodynamic heating and drag, which limit both their performance and operational safety. To mitigate these critical issues, this study introduces an integrated aerospike configuration incorporating opposing and lateral jets, designed...

RITRA: A Rolling Bayesian Information-Theoretic Framework for Multi-UAV Task Allocation Under False Alarm Uncertainty

In complex operational environments, signal ambiguity and false alarms make task allocation for multiple unmanned aerial vehicles (UAVs) challenging. To address this problem, we propose the Bayesian Rolling Information-Theoretic Reconnaissance Action Assignment (RITRA) framework....

A Sol‐Gel Derived Sodium Iron Pyrophosphate Sulfate Cathode Material for High‐Performance Sodium‐Ion Batteries

ABSTRACT Sodium‐ion batteries (SIBs) have shown significant potential for application in large‐scale energy storage systems due to their abundance of sodium resources, cost‐effectiveness, and environmental compatibility. Polyanionic cathode materials, with their unique crystal st...

Health-Related Work Capacity and Labor Participation Among Middle-Aged and Older Adults in China: Evidence From CHARLS

Background: In the context of population ageing and retirement policy reform, sustaining labor participation among middle-aged and older adults has become an important socioeconomic issue. This study examined the association between health-related work capacity and labor particip...

Deep Reinforcement Learning with Adaptive Guidance for Motion Control of Tilt-Servo Fully Vectoring UAV

Motion control of tilt-servo fully vectoring UAVs (TSFV-UAVs) is challenging due to their highly nonlinear dynamics. This paper proposes a reinforcement-learning-based training framework for the hierarchical control architecture of TSFV-UAVs. The framework introduces an adaptive...