Dalian University of Technology

Manufacturable topology optimization for thin-walled cross-sectional design

Thin-walled cross-sections are widely used in lightweight engineering structures because of their excellent stiffness-to-weight and torsional resistance characteristics. However, topology optimization of thin-walled cross-sections remains challenging because conventional density-...

GPU-accelerated parallel strategies for multiscale isogeometric topology optimization

In multiscale isogeometric topology optimization (ITO), the highly coupled cross-scale sensitivity analysis and the wide support of NURBS basis functions constitute the dominant computational bottleneck. To address these computational bottlenecks, this paper proposes a Decoupled...

The choice of product strategy and marketing strategy for serial crowdfunders

Purpose Serial crowdfunding is a common phenomenon, and serial crowdfunders face multiple decisions. Most crowdfunding platforms implement one-time payments, while some platforms implement deferred payments. This paper explores the product and marketing strategies of serial crowd...

Zn-Modified MoS2 Catalyst for Efficient CO2 Hydrogenation to CH3OH

Abstract Hydrogenation of carbon dioxide (CO2) to methanol (CH3OH) using hydrogen produced from renewable energy sources is a promising pathway for carbon recycling and energy storage. Molybdenum disulfide (MoS2), with its typical layered structure, holds significant industrial p...

Integrating fuzzy neural networks and elastic weight consolidation for continual learning under non-stationary data streams

Neuro-fuzzy systems combine neural network learning with fuzzy logic to robustly represent qualitative, uncertain, and imprecise knowledge, making them especially effective for data mining and knowledge discovery. With ongoing digitalization, the volume and velocity of data strea...

Technology Push or Demand Pull? Supply-Chain AI Spillovers and the Quality of Green Innovation Toward Sustainable Production in Chinese Listed Firms

Artificial intelligence (AI) diffuses beyond adopting firms into the wider production network, yet the direction and quality of these spillovers remain underexplored, an omission that matters because only high-quality green innovation advances genuine sustainable transformation....

Unraveling the Mechanism of ACQ-to-AIE Transformation of 3,5-Diacetyl-1,4-dihydro-2,6-lutidine: Dark-State Suppression via Hydrogen-Bond-Mediated Molecular Packing

Abstract Aggregation-induced emission (AIE) materials have attracted broad interest due to their efficient solid-state luminescence, yet a direct and predictable conversion of aggregation-caused quenching (ACQ) molecules into AIE systems remains a significant challenge. Recent ex...

Fixed‐Time Disturbance Attenuation Formation Control for Nonholonomic Mobile Robots With Uncertain Sliding

ABSTRACT In this article, a fixed‐time formation control strategy that combines curvature tracking method is proposed for multiple nonholonomic mobile robots with uncertain sliding. Considering the skidding and slipping, a curvature tracking motion law is derived by sorting out t...

Coordinated planning of hydrogen refuelling stations and distribution networks considering two-phase hydrogen storage and carbon emission flow

Hydrogen refuelling stations (HRSs) are essential infrastructure for hydrogen-powered transportation. However, their planning faces coupled challenges arising from high-pressure hydrogen storage risks and the indirect carbon emissions caused by grid-connected electrolysis. To thi...

Experimental study on artificial marine clay: Preparation and structural characteristics

Laboratory testing is a fundamental approach in marine geotechnical engineering; however, obtaining undisturbed submarine deposits remains technically challenging and economically costly. Therefore, developing effective methods to simulate marine clay under controlled laboratory...

RobustSCI: Beyond reconstruction to restoration for snapshot compressive imaging under real-world degradations

Deep learning has greatly advanced video Snapshot Compressive Imaging (SCI), but most existing methods are developed for reconstructing videos from relatively clean or idealized compressive measurements. In practical capture, motion, low illumination, and sensor imperfections can...

Photoelectrocatalytic bromolactonization with NaBr as the bromine source coupled with hydrogen evolution

We report a mild and efficient photoelectrochemical (PEC) synthetic strategy for the construction of isobenzofuranone skeletons via bromolactonization using NaBr as the bromine source. This transformation proceeds in the absence of exogenous oxidants and additional catalysts, del...

Information-theoretic development of a finite-wavelength-corrected ground-motion intensity measure for underground structures

The appropriate selection of ground-motion intensity measures (IMs) directly affects the reliability of probabilistic seismic demand models and fragility assessments for underground structures. To address the limitations of existing studies, which have primarily focused on screen...

On the total positivity of transformation matrices

The transformation of the ℎ -vector of a finite simplicial complex under an ℱ -uniform subdivision is encoded by a transformation matrix. Mu and Welker conjectured that the transformation matrix of the barycentric subdivision is totally positive. In this paper, we give a new comb...

An improved seismic fragility analysis framework with reduced dependence on predefined probabilistic demand-model assumptions

In Performance-Based Earthquake Engineering (PBEE), traditional seismic fragility assessments rely heavily on a priori statistical assumptions, such as log-normal distributions and homoscedasticity. These assumptions frequently fail to represent the profound heteroscedasticity an...

A Survey of Deep Learning Based Software Refactoring

Refactoring is a critical activity in software engineering used to improve software quality and maintainability. Increasingly, deep learning (DL) techniques are being applied to software refactoring to overcome the limitations of traditional, manually designed heuristics. However...

Nanowire-Threaded NiZn Layered Double Hydroxide Nanocage Heterostructures for High-Performance Supercapacitors

Abstract Layered double hydroxides (LDHs), featuring tunable compositions and unique layered structures, have been widely investigated as electrode materials for supercapacitors. However, their electrochemical performance is often limited by intrinsically low electrical conductiv...

Does supply chain digitalization affect corporate tax avoidance?

Purpose The impact of supply chain digitization on corporate tax avoidance is a critical yet under-explored issue in tax governance within the digital economy. Against this backdrop, this paper aims to conduct an in-depth analysis of the underlying mechanisms and boundary conditi...

Wind-field prediction and sparse reconstruction around polar ship superstructures using reduced-order data-driven methods

Accurate acquisition of wind fields around polar ship superstructures is essential for cold-protection design and local wind-environment assessment. This study proposes a unified framework integrating full-scale CFD, proper orthogonal decomposition (POD), sparse-measurement recon...

Dual regulation of CO2 hydrate formation by clay mineral and kinetic promoter: mechanistic insights for marine sequestration

Hydrate-based CO 2 sequestration is recognized as a promising strategy to mitigate global warming due to its large storage potential and long-term stability. However, the role of clay minerals widely distributed in marine sediments in regulating hydrate formation remains poorly u...