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期刊名:Materials

缩写:MATERIALS

ISSN:N/A

e-ISSN:1996-1944

IF/分区:3.2/Q2

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共收录本刊相关文章索引53511
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Ramune Zurauskiene,Asta Kičaitė,Rimvydas Moceikis Ramune Zurauskiene
Various methods for classifying and evaluating the shape, size, and surface texture of sand particles are examined, highlighting their impact on concrete mixture properties. This study emphasizes the role of particle morphology in determini...
Qing Li,Chong Deng,Yali Hu et al. Qing Li et al.
This study investigates the synergistic effects of hybrid fibers and functionalized multi-walled carbon nanotubes (MWCNTs) on the mechanical and microstructural properties of lithium slag-based geopolymers (FL-EGC). Unlike conventional stud...
Yizhe Huang,Guanjun Fu,An Wang et al. Yizhe Huang et al.
Nickel-Aluminum-Bronze (NAB) has gained significant attention in marine applications due to its excellent corrosion resistance and has shown growing potential for laser powder bed fusion (L-PBF) additive manufacturing. However, research on ...
Tomas Gil-Lopez,Alireza Amirfiroozkoohi,Mercedes Valiente-Lopez et al. Tomas Gil-Lopez et al.
With the rise in additive manufacturing in construction, particularly 3D printing using extrusion-based mortars, there is an increasing need to optimize material properties. This study compares the mechanical performance of mortar specimens...
Jiayue Xie,Kai Feng,Rui Ye et al. Jiayue Xie et al.
As the core abrasive in chemical mechanical polishing (CMP) processes, the morphology, size uniformity, and chemical reactivity of CeO2 nanoparticles (NPs) are crucial factors determining the surface precision and yield of devices. In this ...
Katsiaryna Kosarava,Paweł Widomski,Michał Ziętala et al. Katsiaryna Kosarava et al.
This study presents the first application of Machine Learning (ML) models to optimise Powder Bed Fusion using Laser Beam (PBF-LB) process parameters for H13 steel fabricated on a 350 °C preheated building platform. A total of 189 cylindric...