- High-Temperature Coating Behaviors
- High Entropy Alloys Studies
- Analytical Chemistry and Sensors
- ZnO doping and properties
- Additive Manufacturing Materials and Processes
- Nuclear Materials and Properties
- Advanced Chemical Sensor Technologies
- Gas Sensing Nanomaterials and Sensors
- Advanced Photocatalysis Techniques
- 2D Materials and Applications
- Electronic and Structural Properties of Oxides
- Copper-based nanomaterials and applications
- Advanced materials and composites
- TiO2 Photocatalysis and Solar Cells
- Magnetic and transport properties of perovskites and related materials
- Organic Light-Emitting Diodes Research
- Magnetism in coordination complexes
- Transition Metal Oxide Nanomaterials
- Ferrocene Chemistry and Applications
- Advanced Materials Characterization Techniques
- Lanthanide and Transition Metal Complexes
- Graphene research and applications
Osaka University
2022-2024
University of Science and Technology Beijing
2019-2020
Changchun University
2007-2019
Jilin University
2009-2013
State Key Laboratory of Superhard Materials
2010
An interesting shape evolution of Cu2O crystals, that is, from cubes, truncated octahedra, and finally to nanospheres was first realized in high yield by reducing the copper−citrate complex solution with glucose. X-ray powder diffraction (XRD), field-emission scanning electron microscopy (FESEM), high-resolution transmission (HRTEM) techniques were employed characterize samples. We elucidate important parameters (including poly (vinyl pyrrolidone) (PVP) concentration, reaction time,...
The formation of local chemical order in medium-entropy alloys and high-entropy (MEAs/HEAs) has been strongly suggested recent experimental observations. Since can lead to changes mechanical functional properties, tailoring is a promising approach for further improving those properties MEAs HEAs. However, details remain unclear regarding the atomic structure kinetics. Here, employing large-scale Monte Carlo/molecular dynamics hybrid annealing simulation with neural network potential, we find...
Sluggish diffusion effect of high entropy alloy limits its bonding with other components in practical applications. In this paper, the surface mechanical attrition treatment (SMAT) strategy for performing joints (HEA) at a relative lower temperature is proposed. The EDS results demonstrate that distance Fe atoms increases significantly after SMAT since more gain boundaries are formed SMAT. Furthermore, method HEA/stainless steel joint can achieve useable strength 320 MPa 850 °C (∼0.63 Tm,...
High entropy alloy has attracted extensive attention in nuclear energy due to outstanding irradiation resistance, partially sluggish diffusion. The mechanism from a defect-generation perspective, however, received much less attention. In this paper, the formation of dislocation loops, and migration interstitials vacancies CoNiCrFeMn high under consecutive bombardments were studied by molecular dynamics simulations. Compared pure Ni, defects produced CoNiCrFeMn. Only few small loops observed,...
We have investigated the response of high entropy alloy CoNiCrFeMn to bombardment under extreme irradiation flux by means molecular dynamics simulations. Compared pristine Ni single crystalline, HEA had less point defects during a primary knock-on atom process. The average depth was shallower. For consecutive bombardments, demonstrated much higher surface resistance than Ni. Under 5.59 × 1027 n/(m^2*s), number in gradually increased and proportional till formation dislocation which led boost...
One dimensional (1D), self-organized TiO 2 nanotube arrays are known to have excellent charge transport properties and a NiO/TiO junction is efficient in separating electron–hole pairs. This paper describes the synthesis of electrode constructed using combining above two properties. The used this study were prepared by anodizing titanium films, which resulted closely packed n-type tubes with an inner pore diameter 60–90 nm, wall thickness approximately 15 nm length 600 nm. was synthesized...
Abstract In this study, we utilized a quantitative atomistic analysis approach to investigate the impact of chemical ordering structures on diffusion behavior interstitials and vacancies within CrCoNi medium entropy alloy (MEA), employing an advanced neural network interatomic potential (NNP). We discovered that degree ordering, which can be precisely controlled through annealing at elevated temperatures, significantly influences both interstitial vacancy diffusion. This phenomenon...