Dalian University of Technology

Highly Anisotropic Quasi-1D δ-CsPbI3 Single Nanowire Decorated with Au Nanoparticles for Polarization-Sensitive Photodetection

Abstract The development of polarization-sensitive photodetectors based on low-dimensional materials with intrinsic lattice anisotropy has paved the way for next-generation polarizer-free and integration-friendly polarization-sensitive optoelectronic devices. Despite their superi...

Intermediate‐Phase‐Mediated Homogeneous Crystallization of Wide‐Bandgap Perovskite for Efficient Silicon/Perovskite Tandem Solar Cells

ABSTRACT Achieving compositionally homogeneous mixed‐halide (I − and Br − ) wide‐bandgap (WBG) perovskite films is crucial for high‐performance perovskite/crystalline silicon tandem solar cells (TSCs), yet the disparate crystallization kinetics of iodide‐ and bromide‐rich phases...

Achieving simultaneous strength-ductility-corrosion optimization of solid-state additive friction stir deposited superlight Mg-Li alloy by a hybrid high flow rate Argon/CO₂ shielding atmosphere

High-performance Mg–Li alloys were fabricated via solid-state additive friction stir deposition under a mixed Ar/liquid CO₂ atmosphere, which addresses severe oxidation and unfavorable thermal cycling issues during additive manufacturing. Benefiting from optimized microstructures...

A lattice Boltzmann method for floating oscillating water column WECs

In this study, a hierarchical multi-fidelity modelling framework, combining the lattice Boltzmann method (LBM) and potential-flow approach, is developed to investigate the two-dimensional floating oscillating water column (OWC) wave energy converters (WEC). The framework is built...

Drilling Performance Evaluation and Mechanism Analysis of Diamond-Coated Drills in Ice-Supported CFRP Machining

Diamond-coated tools are suitable for CFRP machining because of their high hardness, sharp cutting edge, and good wear resistance. However, the anisotropic and heterogeneous nature of CFRP makes drilling-induced defects, such as burrs, tearing, fiber pull-out, and delamination, d...

A note on multivariate diam-mean equicontinuity and frequent stability

Abstract Let <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:mo stretchy="false">(</mml:mo> <mml:mi>X</mml:mi> <mml:mo>,</mml:mo> <mml:mi>G</mml:mi> <mml:mo stretchy="false">)</mml:mo> </mml:mrow> </mml:math> be a topological dynamical...

AI-driven drug design for head and neck squamous cell carcinoma using GNN and structure-based simulations

Head and neck squamous cell carcinoma (HNSCC) remains a major global health burden with limited targeted therapeutic options. Here we present an integrated artificial intelligence (AI)-driven drug discovery framework combining graph neural networks (GAT, GCN, AttentiveFP and GIN)...

Etching behavior of Y2O3 coatings in a capacitively coupled NF3/Ar/O2 plasma: Effects of bias power and pressure

Yttrium oxide (Y2O3) has been widely used as a protective coating for the inner surfaces of semiconductor process chambers. In NF3-containing plasmas, corrosion may cause coating thinning and surface morphology reconstruction, thereby affecting in-service reliability. To elucidat...

Stirring-InducedKinetic Retardation in Ethylene EmulsionCopolymerization: Reversible Initiator Complexation Via Collision-DrivenMass Transfer

Abstract In the emulsion copolymerization of ethylene with polar monomers, vigorous agitation is typically expected to overcome mass-transfer resistance and enhance polymerization yield. In contrast, we report a stirring-induced kinetic suppression, where polymerization activity...

EFKG: An Efficient and Fine-Grained Access Control Encrypted Knowledge Graph

As knowledge graphs are increasingly applied in sensitive domains such as healthcare, ensuring data confidentiality and fine-grained access control over outsourced graph data has become critical. In this paper, we propose EFKG, an Efficient and Fine-grained Access Control Encrypt...

A flat-band perspective on the boson peak in amorphous solids

The boson peak is a characteristic anomaly of amorphous solids broadly defined as a low-energy excess in the density of states and heat capacity compared to the textbook predictions of Debye theory. The origin of this anomaly has long been the subject of ongoing debate and remain...

Enthalpy‐Entropy Molecular Design of Gel Polymer Electrolytes for Regulating Solvation Chemistry in Lithium–Sulfur Batteries

ABSTRACT Gel polymer electrolytes (GPEs) show great promise in lithium–sulfur (Li–S) batteries, but their practical application is limited by the high enthalpy of Li + desolvation and the slow conversion rate of polysulfides, which disrupt the redox pathway and accelerate capacit...

Strain-Tunable Altermagnetism in Bilayer PerovskitesMediated by Jahn–Teller Distortions

Abstract Altermagnetism, a novel collinear magnetic order distinct from conventional ferromagnetism and antiferromagnetism, has attracted great interest for its unique functional properties and potential applications in ultrafast spintronics. However, achieving effective control...

Robust Event‐Triggered Set‐Membership Estimation for LPV Systems via Implicit Measurement Updates

ABSTRACT This paper proposes an implicit event‐triggered set membership estimator (IET‐SME) for discrete‐time LPV systems subject to bounded uncertainties. By extracting implicit information from non‐triggering conditions via support functions, virtual measurement updates are con...

Weakly supervised artificial intelligence for multi-cancer detection of lymph node metastasis on whole slide images

Abstract The accurate identification of lymph node metastasis is critical for cancer diagnosis/treatment but remains time-consuming and error-prone for pathologists. We develop MambaMIL+HiLA-MIL, a multiple instance learning model combining Vision Mamba with high-low attention se...

Cooperative Event-Triggered Forwarding with Compressed Sensing in Multi-Hop Wireless Sensor Networks

To address the degradation of state estimation accuracy induced by channel fading in multi-hop wireless sensor networks, this paper proposes a novel approach that integrates cooperative communication, compressed sensing and an event-triggered forwarding strategy. By introducing c...

Plasma etching profile evolution prediction based on edge-extended long short-term memory network

In advanced semiconductor manufacturing, precise control of micro-nano structures via plasma etching is crucial. However, physical simulations are computationally intensive and struggle with rate coefficient determination. While data-driven deep learning offers an alternative, ex...

Mechanical Response and Damage Behavior Analysis of Asphalt Pavements Using a 3D Coupled Thermomechanical Multiscale Modeling Method

Abstract Asphalt concrete (AC) exhibits complex damage behavior under the combined effects of environmental factors and loads. Phenomenological models may encounter difficulty in deeply explaining its damage evolution mechanisms. To solve this issue, this study developed a multis...

Dual‐Bionic Water‐Electricity Cogeneration Systems Integrating Efficient and Matched Photothermal and Evaporative Performances

ABSTRACT Water‐electricity cogeneration systems based on photothermal and evaporative interfaces offer a promising approach to green power generation and freshwater production. System efficiency depends not only on photothermal conversion and evaporation performance but also on t...

TransferLearning Empowers the Development of Better-PerformingModels for In Vivo Cardiotoxicity by Learning from In Vitro hERG Binding Data

Abstract Evaluating chemical hazards, such as cardiotoxicity, is critical for sound chemical management but is challenging due to the labor-intensive and time-consuming nature of in vivo testing. In silico models can efficiently and cost-effectively screen potential cardiotoxic c...