A5058599995- Enhanced Oil Recovery Techniques
- Hydraulic Fracturing and Reservoir Analysis
- Advanced Memory and Neural Computing
- Hydrocarbon exploration and reservoir analysis
- Concrete Corrosion and Durability
- Corrosion Behavior and Inhibition
- Petroleum Processing and Analysis
- Conducting polymers and applications
- Hydrogen embrittlement and corrosion behaviors in metals
- Neuroscience and Neural Engineering
- High-Voltage Power Transmission Systems
- Power Systems and Renewable Energy
- Reservoir Engineering and Simulation Methods
- CO2 Sequestration and Geologic Interactions
- Advanced battery technologies research
- Photoreceptor and optogenetics research
- Pickering emulsions and particle stabilization
- Chemical Synthesis and Characterization
- Smart Grid and Power Systems
- Electrocatalysts for Energy Conversion
- Perovskite Materials and Applications
- Power Systems and Technologies
- Software Testing and Debugging Techniques
- Synthesis and Reactivity of Heterocycles
- Drilling and Well Engineering
China University of Petroleum, East China
2016-2025
University of Shanghai for Science and Technology
2024-2025
Chongqing University
2022-2025
Chinese PLA General Hospital
2025
Shanghai University of Electric Power
2025
Electric Power University
2025
Northwest A&F University
2024
Kunming University of Science and Technology
2024
Nanjing University
2023-2024
Hunan University of Traditional Chinese Medicine
2024
Neural perception and action-inspired electronics is becoming important for interactive human-machine interfaces intelligent robots. A system that implements neuromorphic environmental information coding, synaptic signal processing, motion control desired. We report a neuroinspired artificial reflex arc possesses visual somatosensory dual afferent nerve paths an efferent path to muscles. self-powered photoelectric synapse between the nerves was used as key processor. The successfully...
Aqueous zinc-ion batteries (AZIBs) are considered a promising option for large-scale energy storage because of their low cost and high safety. However, the lack suitable cathode materials has limited development. Vanadium-based oxides have been widely studied due to layered crystal structures theoretical specific capacities. Nevertheless, they prone vanadium dissolution cycle life during cycling. Pre-embedding K+ in V2O5 by hydrothermal method increases layer spacing stabilizes structure....
Ultrasensitive two-terminal synaptic devices based on mixed-halide perovskites were fabricated, which could emulate the fundamental bio-synaptic functions.
In this study, we aimed to investigate the effects of high pressure homogenization (HPH) on structural and emulsifying properties Cyperus esculentus L. proteins. After HPH, β-sheet content was decreased, α-helix random coils were increased. Intrinsic fluorescence spectroscopy analysis showed that maximum absorption wavelength blue-shifted intensity increased after HPH. The untreated protein emulsion has a particle size 12.29 μm, then decreased as homogenizing reached minimum 4.79 μm at 100...
Abstract The goal of this work was to find an effective surfactant system for enhanced oil recovery after water injection substituting at a vuggy fractured reservoir with high temperature and salinity (220,000 mg/L). Four types surfactants concentrations (less than 0.2 %) were screened. Washing experiments conducted in Amott cells. A established by mixing best ultimate one rate. optimized could recover 50 % remaining oil. To study the mechanism oil, interfacial tension (IFT) contact angle...
The sluggish four-electron-transfer kinetics of the oxygen evolution reaction (OER) is a great challenge for development efficient and cost-effective OER electrocatalysts. Herein, we report single-atomic Ir Mo co-confined in lattice Co layered hydroxide (Co-LH) nanobox as an electrocatalyst via sacrificial template method. With hollow structure synergetic electronic interactions among Ir, Mo, Co-LH, catalyst delivers ultralow overpotential 220 mV at 10 mA cm–2 high durability over 800 h 50 1...
Graph database engines stand out in the era of big data for their efficiency modeling and processing linked data. To assure high quality graph engines, it is highly critical to conduct automatic test generation e.g., random generation, most commonly adopted approach practice. However, faces challenge generating complex inputs (i.e., property graphs queries) producing non-empty query results; such type important especially detecting wrong-result bugs. address this challenge, paper, we propose...