Dezheng Liu

ORCID: 0000-0003-4145-6058
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About
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Research Areas
  • Electrocatalysts for Energy Conversion
  • Fatigue and fracture mechanics
  • Advanced Manufacturing and Logistics Optimization
  • Supercapacitor Materials and Fabrication
  • Metallurgy and Material Forming
  • Fuel Cells and Related Materials
  • Perovskite Materials and Applications
  • Scheduling and Optimization Algorithms
  • MXene and MAX Phase Materials
  • Crystallization and Solubility Studies
  • Quantum Dots Synthesis And Properties
  • X-ray Diffraction in Crystallography
  • Ophthalmology and Visual Impairment Studies
  • Geomechanics and Mining Engineering
  • Advanced Control Systems Optimization
  • Structural Load-Bearing Analysis
  • Geochemistry and Geochronology of Asian Mineral Deposits
  • Hydrocarbon exploration and reservoir analysis
  • Welding Techniques and Residual Stresses
  • Transition Metal Oxide Nanomaterials
  • Advanced battery technologies research
  • High Temperature Alloys and Creep
  • Soil, Finite Element Methods
  • Catalytic Processes in Materials Science
  • Food composition and properties

Hubei University of Arts and Science
2018-2025

Sun Yat-sen University
2024

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2024

Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)
2024

Key Laboratory of Guangdong Province
2024

Binzhou University
2024

Binzhou Medical University
2023-2024

Jinan University
2022-2023

Southeast University
2023

University of Science and Technology of China
2021-2023

Abstract Electrochemical energy storage (EES) plays a critical role in tackling climate change and the crisis, unfortunately it faces several challenges. Unlike conventional electrode materials which are gradually approaching their capacity limit, emerging atomically thin 2D can potentially open up various new possibilities for design fabrication of novel EES devices. The studies this area to date have laid groundwork understanding fundamental physics chemistry materials, enabling toolbox...

10.1002/aenm.202002621 article EN Advanced Energy Materials 2020-10-22

Electroencephalogram (EEG) classification has attracted great attention in recent years, and many models have been presented for this task. Nevertheless, EEG data vary from subject to subject, which may lead the performance of a classifier degrades due individual differences. To collect enough labeled model would address issue, but it is often time-consuming labor-intensive. In paper, we propose new multi-source transfer learning method based on domain adversarial neural network...

10.1109/tnsre.2022.3219418 article EN cc-by-nc-nd IEEE Transactions on Neural Systems and Rehabilitation Engineering 2022-11-04

Abstract Nowadays, the depletion of non‐renewable energy sources has become a prominent issue, and environmental concerns such as air pollution stemming from vehicle emissions have reached critical stage. In this manuscript, we introduce novel approach for fabrication Pt/C catalysts on large scale, utilizing simple, rapid, continuous pipeline microwave synthesis method. Moreover, incorporate heating treatment process in an N 2 −H (5 % H ) environment to enhance activity durability catalyst....

10.1002/celc.202300546 article EN cc-by ChemElectroChem 2024-01-19

Weld solidification crack prevention in the laser penetration welding process is essential for strength of welded component. The formation cracks can ultimately be attributed to residual stresses, and preventive measures should taken during welding. In this study, effects stresses on quality ultrafine‐grained steels were investigated. A heat source model was established through analysis metallography cross section heat‐affected zone (HAZ) AN420s‐grade steel, chemical composition weld bead...

10.1155/2018/8609325 article EN cc-by Advances in Materials Science and Engineering 2018-01-01

Native collagen fibrils (CF) were successfully extracted from bovine tendons using two different methods: modified acid-solubilized extraction for A-CF and pepsin-aided method P-CF. The yields of P-CF up to 64.91% (±1.07% SD) 56.78% (±1.22% (dry weight basis), respectively. analyses both amino acid composition sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) confirmed that type I fibrils. Both retained the intact crystallinity integrity collagen's natural structure by...

10.3390/ma13020358 article EN Materials 2020-01-12

The FeCoCrNiBx high-entropy alloy (HEA) coatings with three different boron (B) contents were synthesized on Q245R steel (American grade: SA515 Gr60) by laser cladding deposition technology. Effects of B content the microstructure and wear properties HEA coating investigated. In this study, phase composition, microstructure, micro-hardness, resistance (rolling friction) investigated X-ray diffraction (XRD), a scanning electron microscope (SEM), micro hardness tester, roller friction...

10.3390/app10010049 article EN cc-by Applied Sciences 2019-12-19

Abstract A cantilevered piezoelectric coupled energy harvester with variable cross section is proposed to obtain the electric power from longitudinal motion of near‐shore sea wave. In order describe practical process wave harvesting, a mathematical model established based on Airy linear theory and Bessel equations calculate output charge, voltage, current, power. Compared traditional cantilever harvesters uniform section, this harvesting device has larger efficiency for its more bigger...

10.1002/ese3.489 article EN cc-by Energy Science & Engineering 2019-09-30

The addition of CH 3 NH Cl (MACl) in perovskite precursor has become one the most effective strategies for enhancing photovoltaic performance solar cells (PSCs). To further determine its relevant intrinsic modification mechanism, a series PSCs with variant MACl contents are prepared. Apart from analysis crystal morphology and defect states, molecular‐level photophysical processes related closely to systematically investigated by transient absorption (TA) time‐resolved photoluminescence...

10.1002/solr.202201039 article EN Solar RRL 2023-01-05

Long non-coding RNAs (LncRNAs) have been found to be a potential prognostic factor for cancers, including hepatocellular carcinoma (HCC). Some LncRNAs confirmed as indicators quantify genomic instability (GI). Nevertheless, GI-LncRNAs remain largely unexplored. This study established GI-derived LncRNA signature (GILncSig) that can predict the prognosis of HCC patients.

10.4240/wjgs.v16.i3.842 article EN World Journal of Gastrointestinal Surgery 2024-03-21

High-intensity anthropogenic activities have greatly altered the estuarine-shelf depositional processes of sediments, and intensity frequency impacts human interventions far exceeded natural development estuarine systems. Since reform opening up, such as dams, sand mining, channel dredging, reclamation already caused anomalous changes in dynamical–sedimentary–geomorphological Lingdingyang Estuary (LE). Analyzing impact high-intensity on sedimentary hydrodynamic environment through records...

10.3390/jmse12071139 article EN cc-by Journal of Marine Science and Engineering 2024-07-06

Abstract The oxygen reduction reaction (ORR) in an acidic environment is crucial for fuel cell technology. Understanding its complex kinetics and developing advanced catalyst materials have the potential to drive significant improvements energy efficiency, paving way sustainable, green solutions. In this work, Iron‐Nitrogen‐Carbon@aerogel (Fe(FcP) x ‐N‐C@Aerogel) catalysts are developed by carbonizing polypyrrole (PPy) ferrocene. ORR performance of these investigated across different...

10.1002/adsu.202400885 article EN Advanced Sustainable Systems 2025-01-13

Multi-agent collaborative manufacturing, high energy consumption and pollution, frequent operation outsourcing are the three main characteristics of large complex equipment manufacturing enterprises. Therefore, production scheduling problem to be studied is a distributed flexible job shop involving (Oos-DFJSP). Besides, influences each machine on carbon emission at different processing speeds also involved in this research. Thus Oos-DFJSP consists following four sub-problems: determining...

10.3233/jifs-223435 article EN Journal of Intelligent & Fuzzy Systems 2023-04-21
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