A5047180128- Nuclear Materials and Properties
- Nuclear reactor physics and engineering
- Metal and Thin Film Mechanics
- Fusion materials and technologies
- High-Temperature Coating Behaviors
- High Temperature Alloys and Creep
- Hydrogen embrittlement and corrosion behaviors in metals
- Nuclear materials and radiation effects
- Catalytic Processes in Materials Science
- Microstructure and Mechanical Properties of Steels
- Robot Manipulation and Learning
- Corrosion Behavior and Inhibition
- Electron and X-Ray Spectroscopy Techniques
- Thermodynamic and Structural Properties of Metals and Alloys
- Reinforcement Learning in Robotics
- Metallurgical Processes and Thermodynamics
- Molten salt chemistry and electrochemical processes
- Semiconductor materials and devices
- Concrete Corrosion and Durability
- Nuclear Engineering Thermal-Hydraulics
University of Oxford
2023-2024
Xi'an Jiaotong University
2020-2023
Northeastern University
2019
Nuclear and Radiation Safety Center
1995
Two kinds of experimental ferritic/martensitic steels (HT-9) with different Si contents were designed for the fourth-generation advanced nuclear reactor cladding material. The effects content and tempering temperature on microstructural evolution mechanical properties these HT-9 steel studied. microstructure after quenching characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission (TEM); investigated means tensile test, Charpy impact hardness test....
A new activator was proposed to evaluate the susceptibility of type 304L stainless steel intergranular corrosion using electrochemical potentiodynamic reactivation (EPR) technique. Thioacetamide (CH3CSNH2) shown be more suitable as an than other compounds containing sulfur. The influence CH3CSNH2 concentration, scanning rate, and vertex potential on evaluating parameter (ratio maximum current anodic current) investigated. mechanism for EPR test discussed.
Autonomous manipulator grasp is an important issue in robotics research. To obtain the optimal pose, we combine vision and deep learning to realize artificial intelligence of grasp. We adopt idea using residual network improve generative grasping convolutional neural (GG-CNN). Firstly, build a convolution module. By piling multi-layer modules, can deepen depth network, which used as main part GG-CNN. Improved GG-CNN based on enhances accuracy pose generation manipulator. Experimental results...
The steam oxidation behavior of ZIRLO at 1200 °C was investigated using a thermogravimetric analyzer. microstructure the oxide analyzed SEM and FIB+TEM in depth. Very long “spaghetti-like” columnar grains were formed owing to intracrystalline diffusion O2- high temperature. These extended from oxide/matrix interface thin outer equiaxed grain layer. special growth mechanism determines unique properties scale, such that their structural integrity cannot be destroyed. Therefore, kinetics...