A5025131464- Retinal Development and Disorders
- Reservoir Engineering and Simulation Methods
- Photoreceptor and optogenetics research
- Retinal Imaging and Analysis
- Retinal Diseases and Treatments
- Nerve Injury and Rehabilitation
- Hydrocarbon exploration and reservoir analysis
- Retinal and Macular Surgery
- Covalent Organic Framework Applications
- Enhanced Oil Recovery Techniques
- Shoulder Injury and Treatment
- Glaucoma and retinal disorders
- Biomedical and Engineering Education
- bioluminescence and chemiluminescence research
- Machine Learning in Materials Science
- Retinopathy of Prematurity Studies
- Cell death mechanisms and regulation
- Luminescence and Fluorescent Materials
- Traumatic Brain Injury and Neurovascular Disturbances
- Methane Hydrates and Related Phenomena
- Nuclear reactor physics and engineering
- Geological Modeling and Analysis
- Retinal and Optic Conditions
- Stock Market Forecasting Methods
- Hydraulic Fracturing and Reservoir Analysis
Shandong Academy of Agricultural Sciences
2025
Peking University
2004-2025
University of Science and Technology Beijing
2020
Abstract In the face of escalating antibiotic resistance crisis, world is embroiled in a silent “antibacterial war”. Scientists are actively searching for innovative antibacterial materials that can be used as effective weapons against bacterial infections. As promising new crystalline porous polymer materials, covalent organic frameworks (COFs) gradually revealing their vast potential applications. This study investigates classification COF‐based agents, provides comprehensive overview...
Abstract The stability of faults must be evaluated carefully for reliable and successful geological CO2 storage (GCS) projects, especially in reservoirs with abundant fractures faults. induced slip reactivation fractured can create significant leakage pathways. Therefore, investigating the geomechanical response on through hydromechanical coupled simulations is crucial but challenging. It requires constructing fine computational grids that conform to faults, which arduous 3D field-scale...
Improving the robustness and efficiency of flash calculations in phase equilibrium is crucial for reservoir simulation. DL-KF (Deep Learning K-values Fugacity Calculation) modeling proposed to accelerate calculation using deep learning methods, which three-steps neural networks are included: ANN-STAB (Artificial Neural Network Stability Test) model, ANN-KV model ANN-FUG respectively. The generated test stability. When temperature, pressure feed composition given, classification obtained...
Wireline formation fluid sampling is extensively utilized to acquire downhole samples. Due mud filtrate invasion, enough time required pump out the so that an acceptable level of contaminant reached. Excessive cleanup would increase costs and risk testing tool becoming stuck within drilling mud. The challenge lies in deciding what type formation-tester probe should be used ensure minimally contaminated measurements for a specific configuration when withdrawal sample sufficiently purged...
Based on the actual industrial site and roadway engineering layout of mine, this work constructs a high-precision 3D virtual simulation roaming scene metal mine filling production, stereoscopically reproduces paste process so that students can establish global understanding production environment, technological process, key steps main equipment. This breaks limitations teaching method which mainly focuses indoor experimental supplemented by demonstration, creates new way to adapt...
Flash calculation is essential for compositional model to determine the composition of existing hydrocarbon phases and understand mechanics fluids flow in reservoirs. Due its inherent nonlinearity, flash usually turns out be unstable high time-consuming determination phase classification concentrations at each grid-block time step simulation. The efficiency robustness equilibrium crucial reservoir A DL-KF (Deep Learning K-values & Fugacity Calculation) modeling proposed accelerate using deep...