A5076181190- nanoparticles nucleation surface interactions
- Petroleum Processing and Analysis
- Advanced Materials Characterization Techniques
- Enhanced Oil Recovery Techniques
- Freezing and Crystallization Processes
- Advanced Bandit Algorithms Research
- Hydraulic Fracturing and Reservoir Analysis
- Fluid Dynamics and Mixing
- Particle accelerators and beam dynamics
- IoT and Edge/Fog Computing
- Per- and polyfluoroalkyl substances research
- Distributed Sensor Networks and Detection Algorithms
- Adhesion, Friction, and Surface Interactions
- Theoretical and Computational Physics
- Graphene research and applications
- Surface and Thin Film Phenomena
- Force Microscopy Techniques and Applications
- Fiber-reinforced polymer composites
- Underwater Vehicles and Communication Systems
- Icing and De-icing Technologies
- Cryospheric studies and observations
- Methane Hydrates and Related Phenomena
Northeast Petroleum University
2022-2023
Nanjing University of Science and Technology
2023
Peking University
2020
The micromechanism of waxy crude oil gelling is the interaction between wax crystals to form a certain intensity flocculation structure, which significantly increases cost production and transmission. In this paper, rheo-optic in situ measurement technology applied rheological study for first time also response typical thermal history, shear-thinning, dynamic behavior crystal. Through new experimental technique analysis method, it found that two types can be formed under historical...
The motion behaviors, rheological properties, and mechanical properties of a wax crystal mesoscale force chain network waxy crude oil during gelation were experimentally studied simulated by rheo-optic in situ measurement computational fluid dynamics-discrete element method (CFD-DEM) numerical simulation, respectively. behavior characteristics crystals the changes average coordination number networks obtained at different temperatures. study investigates rule deterioration, increase...
With the development of Internet Things and Artificial Intelligence, deploying inference tasks at network edge is widely adopted by operators so as to provide intelligent services. However, due limited resources relatively high resource consumption model, appropriate model ensure good accuracy can be challenging. In this work, we problem whose aim maximize overall efficiency benefit selecting AI models pre-trained on cloud servers deployed servers. a unable predict dynamic stochastic inputs...
<p indent=0mm>Water and ice are ubiquitous in nature. The structure growth of play critical roles an incredibly broad spectrum materials science, tribology, biology, atmospheric planetary such as the mechanism biological anti-freezing proteins, design anti-icing materials, slip glaciers, ozone reduction catalysis atmosphere, formation clouds precipitation. Addressing those issues requires atomic-scale understanding interaction between water molecules substrate well that molecules. Limited by...