Southwest Jiaotong University

Dual‐Channel Event‐Triggered Model‐Free Adaptive Control for Discrete‐time Nonlinear Networked Control Systems

ABSTRACT In this article, a novel dual‐channel event‐triggered model‐free adaptive control (DCET‐MFAC) algorithm is investigated to solve the tracking control problem for nonlinear networked control systems (NCSs). Two independent event‐triggered mechanisms (ETMs) are designed wi...

Microstructure density engineering via sandpaper templating for high-performance PTFE/PDMS triboelectric nanogenerators

A microstructure-density engineering strategy is proposed to enhance triboelectric nanogenerator performance using sandpaper-templated PTFE/PDMS triboelectric layers and MXene-AgNWs electrodes. By optimizing sandpaper grit and tribo-layer thickness, the charge transfer and storag...

Strain-Induced Enhancement of Thermal Conductivity of Monolayer NiI2 via Suppressed Spin-Phonon Coupling

Abstract Strain engineering provides a versatile route for continuously tuning thermal conductivity. In this work, using spin-polarized density functional theory in conjunction with the phonon Boltzmann transport equation, we reveal that a small biaxial tensile strain can signifi...

Coordination‐Driven Neutralization of SnO 2 Colloids for Suppressing Buried Interfacial Deprotonation in Perovskite Solar Cells

ABSTRACT Commercial SnO 2 colloidal solutions are widely used as an electron transport layer (ETL) in perovskite solar cells (PSCs). However, their intrinsic strong alkalinity, required for colloidal stability, creates a high proton‐affinity SnO 2 /perovskite interface that promo...

A convolutional autoencoder network based on multi-dimensional spatial feature reconstruction for anomaly detection of rotating machinery under complex operating conditions

Rotating machinery is critical equipment in industrial systems, and its operational status directly impacts production safety and equipment reliability. Due to complex operating conditions, continuous operation, and environmental disturbances, rotating machinery is prone to failu...

Interpersonal Interaction in AR Mediated Informal Learning on Cultural Relics: The Effects of Goal, Asymmetry, Competition, and Proxemics

Interpersonal interaction is crucial for informal learning on cultural relics. This study investigates how four factors - mutual goals, asymmetric interaction, competitive interaction, and interpersonal distance - affect collaborative learning and collective experience. Through a...

Seismic shear strength of thin-walled circular hollow RC bridge piers considering flexural-shear interaction

The thin-walled circular hollow reinforced concrete (RC) bridge piers provide favorable material efficiency, but their seismic shear strength is difficult to evaluate because hollow-section geometry and post-yield flexural damage can jointly reduce the available shear-transfer ca...

Integrating Community Needs into Blue-Green Infrastructure Planning: A Stakeholder-Driven Co-Design Framework

Blue-Green Infrastructure (BGI) is a systematically interconnected network of natural and semi-natural spaces. By integrating blue hydrological systems—such as rivers, wetlands, and retention ponds—with green vegetation ecosystems including urban parks, green corridors, and green...

Fault diagnosis of marine diesel engine via control-aware domain-adversarial network: A control-diagnosis collaboration perspective

Aiming at the issue that existing fault diagnosis methods for marine diesel engines often neglect the diagnostic value of information contained in control signals, this paper proposes a control-aware domain-adversarial network for injector system fault diagnosis across maneuverin...

Strain-specific magnetic nanoantidote with lipopolysaccharide recognition for systemic immune reprogramming in drug-resistant sepsis

Sepsis mortality is exacerbated by the endotoxin paradox, wherein conventional antibiotic-induced bacterial lysis triggers massive lipopolysaccharide (LPS) release, often culminating in an irreversible cytokine storm. Addressing the structural heterogeneity of the LPS O-antigen t...

Toward wind-resilient cable-supported photovoltaic system: nonlinear stiffness, dynamic identification, and parametric instability

Cable-supported flexible photovoltaic (FPV) system is emerging as lightweight low-carbon power-generation structures, but their large-span, low-stiffness configuration makes them susceptible to large-amplitude wind-induced oscillations, for which the conventional small-amplitude...

Triple-Level Topology Awareness Using Hypergraph for Marine Ship Surveillance from SAR Imagery

Marine ship surveillance from synthetic aperture radar (SAR) imagery is extensively studied. Still, previous methods may not fully capture high-order topological relationships, which can limit performance in complex scenarios. To this end, we propose a triple-level topology aware...

Adaptive Inversion Optimization of the Static Factor of Safety for Newmark-Based Earthquake-Induced Landslide Susceptibility Assessment

Rapid regional evaluation of earthquake-induced landslide susceptibility via the traditional Newmark model is often constrained by geotechnical parameter spatial variability and subjective empirical adjustments in static factor of safety (Fs) calculations. To resolve this bottlen...

Collaborative control of deposition width and height for thick-walled parts in arc-directed energy deposition via integrating arc voltage and vision sensing

Gas tungsten arc-directed energy deposition (GTA-DED) offers significant potential for producing large-size metal components. However, the precise automatic control of process stability and dimensional accuracy of components with multi-layer multi-bead characteristics in GTA-DED...

Emerging deployment of Engineered Cementitious Composites (ECC) for durable and resilient bridge infrastructure

Abstract Modern bridges are faced with lifecycle challenges of ensuring safety and durability under the combined exposure to traffic and environmental loadings. As an emerging high-performance material, Engineered Cementitious Composites (ECC) possesses ultrahigh tensile ductilit...

Hybrid error correction model to enhance long-term wind field forecasting performance of coastal bridges by the WRF model

Wind is a dominant load for coastal bridges, yet long-term wind field data are often lacking, making accurate design wind speed evaluation challenging. To efficiently and accurately predict long-term wind fields for bridges, a hybrid error correction model is proposed by integrat...

Linking water quality index structure to seasonal contaminant dynamics and predictive stability in a semi-arid aquifer in the F'kirina Plain of North-eastern Algeria

Groundwater quality in semi-arid aquifers is strongly controlled by inter-seasonal/interannual hydroclimatic dynamics, which regulate hydrochemical evolution and contaminant mobilization. However, the extent to which the mathematical architecture of water quality indices (WQIs) i...

Tailoring Dynamic Charge Response and Trap-State Landscapes with Targeted Phosphine Oxide Additive for Efficient FAPbBr3 Quantum-Dot Light-Emitting Diodes

Abstract Formamidinium lead bromide (FAPbBr3) perovskite quantum dots (PeQDs) are promising emitters for next-generation displays owing to their narrow emission, high color purity, and solution processability. However, surface-derived trap states promote nonradiative recombinatio...

Rheological properties of eco-friendly high-modulus asphalt considering aging characteristics

This study investigates the development and characterization of Eco-friendly High-modulus Asphalt (EHA) designed to optimize technical performance, environmental sustainability, and economic viability. By incorporating PR high-modulus modifiers alongside crumb rubber (CR) and des...

GridScope: A Cloud-Edge Collaborative Framework for Robust and Efficient Power-Grid Inspection

Power-grid inspection requires both high detection reliability and low-latency deployment, yet existing solutions often face a fundamental trade-off between lightweight edge models with limited semantic capability and large multimodal models with high inference cost. To address t...