Results 11 to 20 of about 1,740 (221)
Formation of β′ phase in LPSO structures in an Mg88Co5Y7 alloy
Formation of β′ phase in long-period stacking ordered (LPSO) structures in an Mg88Co5Y7 (at.%) alloy after aging at 200 °C for 24 h or electron beam (EB) irradiation has been studied by high-angle annular dark-field scanning transmission electron ...
Q.Q. Jin +5 more
doaj +2 more sources
Surprising increase in yield stress of Mg single crystal using long-period stacking ordered nanoplates [PDF]
Mg–Zn–Y ternary alloys containing the long-period stacking ordered (LPSO) phase exhibit superior mechanical properties. This is believed to be originating from the LPSO phase acting as the strengthening phase.
Hagihara, Koji +4 more
core +3 more sources
Design of LPSO Phases in Mg-Y-Ni Alloys to Impact Hydrogenation Kinetics
A series of Mg-Y-Ni alloys with different volume fractions of long-period stacking-ordered (LPSO) phase were prepared, by controlling the alloy composition, heat treatment, and single-pass extrusion, to assess the influence of increasing LPSO phase ...
Kyle S. Nicholson +6 more
doaj +2 more sources
The effect of heat treatment on microstructure of the melt-spun Mg–7Y–4Gd–5Zn–0.4Zr alloy
The microstructure evolution of the melt-spun Mg–7Y–4Gd–5Zn–0.4Zr alloy during annealing treatment has been investigated by using X-ray diffraction (XRD), optical microscope (OM), differential scanning calorimetry (DSC) and transmission electron ...
Ke Liu, Wenbo Du, Shubo Li, Zhaohui Wang
doaj +2 more sources
The Formation Criteria of LPSO Phase in Type I LPSO Mg-Y-X Alloy from the Perspective of Liquid-Solid Correlation. [PDF]
The formation criteria of the LPSO phase are important for the design of long-period stacking-ordered (LPSO) Mg alloys. This work focuses on Type I LPSO Mg-Y-X alloys and attempts to explore the formation criteria of the LPSO phase from the perspective of liquid-solid correlation.
Ma T +10 more
europepmc +3 more sources
Feature Selection Based on Adaptive Particle Swarm Optimization with Leadership Learning. [PDF]
With the rapid development of the Internet of Things (IoT), the curse of dimensionality becomes increasingly common. Feature selection (FS) is to eliminate irrelevant and redundant features in the datasets. Particle swarm optimization (PSO) is an efficient metaheuristic algorithm that has been successfully applied to obtain the optimal feature subset ...
Ye Z +6 more
europepmc +2 more sources
Abstract Influence maximization, whose aim is to maximise the expected number of influenced nodes by selecting a seed set of k influential nodes from a social network, has many applications such as goods advertising and rumour suppression. Among the existing influence maximization methods, the community‐based ones can achieve a good balance between ...
Lei Zhang +5 more
wiley +1 more source
Summary Mg‐air batteries are promising energy storage systems to deal with the requirement of green usage, high energy density, and sustainable energy. This paper provides an in‐depth understanding of the energy loss mechanisms of Mg‐based anodes, followed by a proposed new anodic properties evaluation indicator, the apparent Mg valence, based on the ...
Xingrui Chen, Andrej Atrens
wiley +1 more source
Grain‐boundary‐free glassy solid electrolytes are successfully synthesized and the doping effects of oxygen and nitrogen in the sulfide dense glass electrolytes are investigated for the first time. The doped sample exhibits a critical current density of 1.8 mA cm−2 at 100 °C, and the strategies of further improving the electrochemical performance and ...
Ran Zhao +5 more
wiley +1 more source
Optimal trajectory planning is a fundamental problem in the area of robotic research. On the time‐optimal trajectory planning problem during the motion of a robotic arm, the method based on segmented polynomial interpolation function with a locally chaotic particle swarm optimization (LCPSO) algorithm is proposed in this paper.
Yuxiao DU, Yihang CHEN
wiley +1 more source

