检索结果-南通市图书馆

维普期刊数据库

A multiobjective discrete combination optimization method for dynamics design of engineering structures

在线全文

学校读者我要写书评

暂无评论

International Journal of Mechanical System Dynamics 2022年第1期2卷 108-116页

作者： Wenjie Ding Yanchen Ji Haitao Liao Daining Fang institute of advanced Structure technology Beijing Institute of TechnologyBeijingChina

This paper presents a new multiobjective discrete optimization method for the engineering design of dynamic problems.A discrete combinatorial optimization problem is solved using a particle swarm optimization algorithm coupled with a stair‐form interpolation model.To address multiobjective optimization issues,a weighted average approach is implemented to convert the multiobjective optimization problem into an equivalent single‐objective optimization problem.Design con-straints are taken into consideration by using the penalty function strategy.The proposed method is first verified with a 10‐bar truss structure design problem,where the cross‐sectional area of each bar is optimized to minimize both volume and node displacement.Second,the dynamic issue for hybrid composite laminates is investigated by maximizing the fundamental frequency and minimizing the cost.The results reveal that the optimized results generated by the proposed method agree well with those from other approaches.

关键词： multiobjective discrete optimization stair‐form interpolation model particle swarm optimization dynamic issue

Lightweight quasi-layered elastic fibrous porous ceramics with high compressive stress and low thermal conductivity

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Materials Science & technology 2023年第12期143卷 207-215页

作者： Ning Zhou Baosheng Xu Zhiliang Zhou Lijie Qu Yiguang Wang Wenbo Han Daining Fang National Key Laboratory of Science and technology for National Defense on advanced Composites in Special Environments Harbin Institute of TechnologyHarbin 150001China institute of advanced Structure technology Beijing Institute of TechnologyBeijing 100081China

Fibrous porous ceramics are attractive for use as thermal insulation materials.However,the intrinsic brit-tleness of rigid materials has remained challenging and severely restricts their applications.Here,we demonstrated a facile method for fabricating elastic fibrous porous ceramics(EFPCs)with high com-pressive strength and low thermal conductivity through ordinary press filtration and subsequent heat treatment.The quasi-layered structure and the well-bonded bridging fibers between layers are the key points for the elasticity of EFPCs.The advanced EFPCs exhibited low density(∼0.126 g cm^(−3)),high com-pressive stress(∼0.356 MPa),and low thermal conductivity(∼0.026 W m^(−1) K^(−1)).Compared with rigid porous fibrous materials,the EFPCs had deformability and excellent shape recovery.In contrast to flexible materials,the EFPCs possessed high compressive stress,thus endowing them with good resistance to de-formation.The emergence of this fascinating material may provide new insights for candidate materials in thermal insulation and other fields.

关键词： Silica fiber Facile press filtration Elastic fibrous porous ceramics High compressive stress Thermal insulation

Recent progress and prospective on layered anode materials for potassium-ion batteries

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Minerals,Metallurgy and Materials 2022年第5期29卷 1037-1052页

作者： Ke Guo Wei Wang Shuqiang Jiao institute of advanced Structure technology Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of advanced Metallurgy University of Science and Technology BeijingBeijing 100083China

Potassium-ion batteries(PIBs),also known as“novel post-lithium-ion batteries,”have promising energy storage and utilization prospects due to their abundant and inexpensive raw materials.Appropriate anode materials are critical for realizing high-performance PIBs because they are an important component determining the energy and power densities.Two-dimensional(2D)layered anode materials with increased interlayer distances,specific surface areas,and more active sites are promising candidates for PIBs,which have a high reversible capacity in the energetic pathway.In this review,we briefly summarize K+storage behaviors in 2D layered carbon,transition metal chalcogenides,and MXene materials and provide some suggestions on how to select and optimize appropriate 2D anode materials to achieve ideal electrochemical performance.

关键词： potassium-ion battery layered materials carbon transition metal chalcogenides MXene materials

维普期刊数据库

Efficient solution-processed InP quantum-dots light-emitting diodes enabled by suppressing hole injection loss

在线全文

学校读者我要写书评

暂无评论

Nano Research 2023年第5期16卷 7511-7517页

作者： Wenxuan Du Chunyan Cheng Jianjun Tian institute for advanced Materials and technology University of Science and Technology BeijingBeijing 100083China

Solution-processed cadmium-based quantum dots(QDs)light-emitting diodes(QLEDs)have shown promising for high-definition display panels due to their high colour purity and low-cost fabrication,but the toxicity still is a big threat.InP is considered as the most promising cadmium-free material to achieve high performance QLEDs,however,the performance of the InP-based QLEDs is far behind of the cadmium-based counterparts.Here,we report high efficiency InP-based QLEDs with more than 20%of external quantum efficiency(EQE)by suppressing hole injection loss.This suppression is achieved by doping a strong Lewis acid into a Lewis base poly(bis(4-phenyl)(2,4,6-trimethylphenyl)amine)to form a Lewis acid-base adduct hole-transport layer(HTL),which improves the hole mobility of the HTL,reduces the hole transfer barrier between HTL and QDs layer to increase hole transport capability.This eventually leads to a more balanced carrier-injection through accelerating hole-injection to match well with the rate of electron-injection,thus suppressing the hole injection loss in the QLED.The InP-based QLED shows EQE of 20.4%,current efficiency of 25.3 cd·A^(−1),turn-on voltage of 2.0 V,luminance of 24,000 cd·m^(−2).This strategy would be a constructive approach to reduce hole loss for p-n junction optoelectronics.

关键词： InP quantum dot light-emitting diode hole-transport layer high efficiency

Effect of Sr^(2+)on 3D gel-printed Sr_(3-x)Mg_(x)(PO_(4))_(2)composite scaffolds for bone tissue engineering

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Minerals,Metallurgy and Materials 2023年第11期30卷 2236-2244页

作者： Hongyuan Liu Jialei Wu Siqi Wang Jing Duan Huiping Shao institute for advanced Materials and technology University of Science and Technology BeijingBeijing 100083China

Porous magnesium strontium phosphate(Sr_(3-x)Mg_(x)(PO_(4))_(2))(x=2,2.5,3)composite scaffolds were successfully prepared by three dimension gel-printing(3DGP)method in this study.The results show that Sr_(0.5)Mg_(2.5)(PO_(4))_(2)scaffolds had good compressive strength,and Sr_(1.0)Mg_(2.0)(PO_(4))_(2)scaffolds had good degradation rate in vitro.The weight loss rate of Sr_(1.0)Mg_(2.0)(PO_(4))_(2)scaffolds soaked in simulated body fluid(SBF)or 6 weeks was 6.96%,and pH value varied between 7.50 and 8.61,which was within the acceptable range of human body.Preliminary biological experiment shows that MC3T3-E1 cells had good adhesion and proliferation on the surface of Sr_(3-x)Mg_(x)(PO_(4))_(2)scaffolds.Compared with pure Mg3(PO_(4))_(2)scaffolds,strontium doped scaffolds had excellent comprehensive properties,which explain that Sr_(3-x)Mg_(x)(PO_(4))_(2)composite scaffolds can be used for bone tissue engineering.

关键词： 3D printing magnesium phosphatase strontium porous scaffolds degradability

维普期刊数据库

Ru-doped functional porous materials for electrocatalytic water splitting

在线全文

学校读者我要写书评

暂无评论

Nano Research 2024年第3期17卷 982-1002页

作者： Chongao Tian Rui Liu Yu Zhang Wenxiu Yang Bo Wang Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion Materials Advanced Technology Research Institute(Jinan)Advanced Research Institute of Multidisciplinary ScienceSchool of Chemistry and Chemical EngineeringBeijing Institute of TechnologyBeijing 100081China Beijing institute of technology Library Beijing Institute of TechnologyBeijing 100081China

Electrolytic water splitting(EWS)is an attractive and promising technique for the production of hydrogen energy.Nevertheless,the sluggish kinetic rate of hydrogen/oxygen evolution reactions leads to a high overpotential and low energy efficiency.Up to date,Pt/Ir-based nanocatalysts have become the state-of-the-art EWS catalysts,but disadvantages such as high cost and low earth abundance greatly limit their applications in EWS devices.As an attractive candidate for the Pt/Ir catalysts,series of Ru-based nanomaterials have aroused much attention for their low price,Pt-like hydrogen bond strength,and high EWS activity.In particular,Ru-doped functional porous materials have been becoming one of the most representative EWS catalysts,which can not only achieve the dispersion and adjustment for active Ru sites,but also simultaneously solve the problems of mass transfer and catalytic conversion in EWS.In this review,the design and preparation strategies of Ru-doped functional porous materials toward EWS in recent years are summarized,including Ru-doped metal organic frameworks(MOFs),Ru-doped porous organic polymers(POPs),and their derivatives.Meanwhile,detailed structure–activity relationships induced by the tuned geometric/electronic structures of Ru-doped functional porous materials are further depicted in this review.Last but not least,the challenges and perspectives of Ru-doped functional porous materials catalysts are reasonably proposed to provide fresh ideas for the design of Ru-based EWS catalysts.

关键词： Ru-based catalyst functional porous materials electrolytic water splitting oxygen evolution reaction hydrogen evolution reaction

Biological and mechanical investigation of novel flax/silk protein-based nanofibrous scaffold for bone regeneration

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Progress in Natural Science:Materials International 2022年第4期32卷 443-455页

作者： M.Rama U.Vijayalakshmi Department of Chemistry School of Advanced Sciences Vellore Institute of Technology

The process of bone tissue regeneration involves an intricate network of a biological macromolecules that includes proteins and peptides to support stimulation and healing response. Here, we have fabricated a novel flaxseed/silk fibroin based(dual protein) composite nanofibers using β-TCP to improve the biological properties and promote cartilage tissue regeneration along with a controllable rate of biodegradation. The physiochemical properties of PVA/β-TCP/FP:SF were characterized by FTIR, XRD, SEM, porosity, contact angle measurements and mechanical evaluation etc. This study demonstrates the biological performance of the developed nanofibers by using hemocompatibility, biodegradation ability, and apatite deposition in stimulated body fluid. Moreover, the cell viability assay was performed on MG-63 osteoblast cells and long-term antibacterial rate against E. coli and S. aureus was analysed. Docking results of flax protein and silk fibroin protein further confirmed the stable modes of intramolecular bonding and the most stable electrostatic values using theoretical calculations. Taken together,the experimental results proved that the dual protein-based fibrous scaffold was found to be up-regulated in terms of biological activity with enhanced cell adhesion and proliferation.

关键词： Flax protein Silk fibroin β-TCP Electrospinning Docking Bone regeneration

TransDFL:Identification of Disordered Flexible Linkers in Proteins by Transfer Learning

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Genomics, Proteomics & Bioinformatics 2023年第2期21卷 359-369页

作者： Yihe Pang Bin Liu Schol of Computer Science and technology Bejing Institute of Technology Bejing 100081China advanced Research institute of Multidisciplinary Science Beijing Institute of TechnologyBeijing 100081China

Disordered flexible linkers(DFLs)are the functional disordered regions in proteins,which are the sub-regions of intrinsically disordered regions(IDRs)and play important roles in connecting domains and maintaining inter-domain interactions.Trained with the limited available DFLs,the existing DFL predictors based on the machine learning techniques tend to predict the ordered residues as DFLs,leading to a high false positive rate(FPR)and low prediction accuracy.Previous studies have shown that DFLs are extremely flexible disordered regions,which are usually predicted as disordered residues with high confidence[P(D)>0.9]by an IDR predictor.Therefore,transferring an IDR predictor to an accurate DFL predictor is of great significance for understanding the functions of IDRs.In this study,we proposed a new predictor called TransDFL for identifying DFLs by transferring the RFPR-IDP predictor for IDR identification to the DFL prediction.The RFPR-IDP was pre-trained with IDR sequences to learn the general features between IDRs and DFLs,which is helpful to reduce the false positives in the ordered regions.RFPR-IDP was fine-tuned with the DFL sequences to capture the specific features of DFLs so as to be transferred into the TransDFL.Experimental results of two application scenarios(prediction of DFLs only in IDRs or prediction of DFLs in entire proteins)showed that TransDFL consistently outperformed other existing DFL predictors with higher accuracy.

关键词： Intrinsicallydisordered protein Disordered flexible linker Falsepositiverate Computational predictor Transferlearning

Simultaneous enhancement in mechanical and corrosion properties of Al-Mg-Si alloys using machine learning

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Materials Science & technology 2023年第36期167卷 1-13页

作者： Xinming Feng Zhilei Wang Lei Jiang Fan Zhao Zhihao Zhang institute for advanced Materials and technology University of Science and Technology BeijingBeijing 100083China Beijing Laboratory of Metallic Materials and Processing for Modern Transportation Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing 100083China Key Laboratory for advanced Materials Processing(MOE) University of Science and Technology BeijingBeijing 100083China Beijing advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing 100083China

Al-Mg-Si alloys with high strength and good corrosion resistance are regarded as desirable materials for all-aluminum vehicles.However,the traditional trial-and-error experimental methods are insufficient to address the trade-offbetween strength and corrosion resistance.In this work,a non-dominated sorting genetic machine-learning algorithm(NSGA-II)was employed to optimize the chemical composition,so as to simultaneously improve the strength and corrosion resistance.Three high-performance Al-Mg-Si alloys with low Mg,Si,and Cu contents were successfully developed,where the yield strength(YS),ultimate tensile strength(UTS),and the elongation(δ)reached 375-380 MPa,410-416 MPa,and 13.7%-15.2%,re-spectively.Compared with higher-Cu-content 6013 alloy,the YS and UTS of the present alloys increase by about 60 MPa,and the intergranular corrosion resistance is also significantly improved.Microstruc-ture characterization demonstrated thatβ’’and QP phases introduced a significant synergistic precipita-tion strengthening effect;the dispersoids formed by trace Mn,Cr,Fe,Zr,and Ti contributed dispersion strengthening effect;and the good pitting corrosion resistance is attributed to lower Mg and Si contents.

关键词： Aluminum alloy Machine learning High strength Corrosion resistance