Recent development of metal-organic frameworks and their composites in electromagnetic wave absorption and shielding applications
With the rapid development of information and communication industries, the usage of
electromagnetic waves has caused the hazard of human health and misfunction of devices …
electromagnetic waves has caused the hazard of human health and misfunction of devices …
Optimizing spectral properties of cesium tungsten bronze films doped with silver nanowires based on the machine learning method
Z He, W **e, S Zhang, Y Gao, AY Elnaggar… - The Journal of …, 2024 - ACS Publications
Glass exhibits high transmittance in the solar radiation band but high absorbance in the mid-
far infrared (MIR) band, which causes a poor energy-saving effect. Thermal insulation …
far infrared (MIR) band, which causes a poor energy-saving effect. Thermal insulation …
The application of machine learning in 3D/4D printed stimuli-responsive hydrogels
The integration of machine learning (ML) in materials fabrication has seen significant
advancements in recent scientific innovations, particularly in the realm of 3D/4D printing. ML …
advancements in recent scientific innovations, particularly in the realm of 3D/4D printing. ML …
[HTML][HTML] Effect of austenitizing temperature on martensitic transformation in SA508Gr. 4N steel
S Lu, L Wan, S Zheng, M Li, J Ren, B Liu… - Journal of Materials …, 2024 - Elsevier
SA508Gr. 4 N steel is commonly used in nuclear pressure vessels. The current study
discloses the impact of austenitizing temperature on its martensitic transformation. Various …
discloses the impact of austenitizing temperature on its martensitic transformation. Various …
Dissolution behavior of dizinc magnesium phase in Al–Zn–Mg–Cu alloy
H Yang, Y Zhang, S Zheng, ZI Zaki, R Huang… - … Composites and Hybrid …, 2023 - Springer
The presence of the dizinc magnesium (MgZn2) phase in Al–Zn–Mg–Cu alloy significantly
enhances its mechanical properties due to the high density, uniform distribution, and fine …
enhances its mechanical properties due to the high density, uniform distribution, and fine …
Corrosion behavior of as-cast Al0.75CoCr1.25FeNi high entropy alloy in 0.5 mol/L sulfuric acid
S Nie, Z Zheng, Y Qiao, Y Duan, J Cui… - … Composites and Hybrid …, 2024 - Springer
This study focuses on the corrosion behaviors of an as-cast Al0. 75CoCr1. 25FeNi high
entropy alloy (HEA) in 0.5 mol/L H2SO4 solution. The results showed that the HEA exhibited …
entropy alloy (HEA) in 0.5 mol/L H2SO4 solution. The results showed that the HEA exhibited …
An overview of 3D-printed shape memory alloys and applications in biomedical engineering
Y Sima, W Wang, MA Abu-Tahon, Y Jiang… - … Composites and Hybrid …, 2024 - Springer
Shape memory alloys are widely used in aerospace, biomedical engineering, flexible
electronics, and smart actuators because of their excellent mechanical properties, good …
electronics, and smart actuators because of their excellent mechanical properties, good …
High-entropy CoCrFeMnNi alloy/aluminide-laminated composites with enhanced quasi-static bending and dynamic compression properties
High-entropy CoCrFeMnNi alloy/aluminide-laminated composites were produced via the hot
pressing diffusion sintering method at 1000℃. The results revealed that the aluminide …
pressing diffusion sintering method at 1000℃. The results revealed that the aluminide …
Conformal formation of a rigid aromatic polymer on a porous surface responsible for excellent anti-corrosion and self-healing properties of aluminum alloys
Despite the significant development of multilayer composite materials for numerous
applications, controlling their growth on stationary platforms for optimal corrosion protection …
applications, controlling their growth on stationary platforms for optimal corrosion protection …
Multi-objective optimization of fracturing ball strength and corrosion rate with genetic algorithms and interpretable machine learning
X Liu, J Yang, L Yi, D Li, Q Wang, H Du, L Hou… - … Composites and Hybrid …, 2025 - Springer
Traditional alloy design typically relies on trial and error and experience. Machine learning
can significantly accelerate the discovery and design process of new materials. However, as …
can significantly accelerate the discovery and design process of new materials. However, as …