A5100454986- Process Optimization and Integration
- Advanced Control Systems Optimization
- Phase Equilibria and Thermodynamics
- Ionic liquids properties and applications
- Thermodynamic properties of mixtures
- Topic Modeling
- Extraction and Separation Processes
- Advanced Multi-Objective Optimization Algorithms
- Metaheuristic Optimization Algorithms Research
- Natural Language Processing Techniques
- Chemical and Physical Properties in Aqueous Solutions
- Advancements in Battery Materials
- Probabilistic and Robust Engineering Design
- Fuzzy and Soft Set Theory
- Traffic Prediction and Management Techniques
- Advanced Text Analysis Techniques
- Fuzzy Logic and Control Systems
- Hydrocarbon exploration and reservoir analysis
- Enhanced Oil Recovery Techniques
- Heat transfer and supercritical fluids
- Fluid Dynamics Simulations and Interactions
- Carbon Dioxide Capture Technologies
- Optimization and Packing Problems
- Optimal Experimental Design Methods
- Photonic and Optical Devices
Beijing University of Technology
2025
Qiqihar University
2025
Research Institute of Petroleum Exploration and Development
2022-2025
Guangdong University of Technology
2024
University of Science and Technology of China
2013-2024
Cleveland State University
2024
North China University of Science and Technology
2013-2024
Changzhou University
2019-2024
South China University of Technology
2021-2024
Henan Normal University
2023-2024
Traditional multiobjective evolutionary algorithms face a great challenge when dealing with many objectives. This is due to high proportion of nondominated solutions in the population and low selection pressure toward Pareto front. In order tackle this issue, series indicator-based have been proposed guide search process However, single indicator might be biased lead converge subregion paper, multi-indicator-based algorithm for many-objective optimization problems. The algorithm, namely...
Event argument extraction is an essential task in event extraction, and become particularly challenging the case of low-resource scenarios. We solve issues existing studies under situations from two sides. From perspective model, methods always suffer concern insufficient parameter sharing do not consider semantics roles, which conducive to dealing with sparse data. And data, most focus on data generation augmentation. However, these rely heavily external resources, more laborious create...
In this study, a compound surfactant system composed of alkyl polyglucoside (APG) and amine oxide (OAE) was formulated to synergistically stabilize the oil-in-water emulsion for enhanced oil recovery (EOR). Dewatering ratio, droplet size distribution, interfacial tension (IFT), stability, microscopic displacement performance were investigated. The smallest lowest IFT, indicating presence most stable emulsion, are observed when total mass concentration ratio APG/OAE 0.5 wt % 7:3,...
The phase behavior of the ternary acetonitrile + water ionic liquid system was predicted using COSMO-RS method. effects different liquids on separation were discussed. It found that influence anions [OAc]− and [Cl]− mixture is strong, while cations have fewer mixture. interaction energies mixing enthalpies binary systems indicating energy between molecules stronger in than system. excess mixtures mainly depend hydrogen bonds formed (or acetonitrile) liquids. Ionic [EMIM][OAc] [EMIM]Cl are...
Multi-Objective Evolutionary Algorithms have been deeply studied in the research community and widely used real-world applications. However, performance of traditional Pareto-based MOEAs, such as NSGA-II SPEA2, may deteriorate when tackling Many-Objective Problems, which refer to problems with at least four objectives. The main cause for degradation lies that high-proportional non-dominated solutions severely weaken differentiation ability Pareto-dominance. This lead stagnation. Two Archive...
The NS5B polymerase is one of the most attractive targets for developing new drugs to block Hepatitis C virus (HCV) infection. We describe discovery novel potent HCV inhibitors by employing a virtual screening (VS) approach, which based on random forest (RB-VS), e-pharmacophore (PB-VS), and docking (DB-VS) methods. In RB-VS stage, after feature selection, model with 16 descriptors was used. PB-VS six energy-based pharmacophore (e-pharmacophore) models from different crystal structures...
To handle different types of many-objective optimization problems (MaOPs), evolutionary algorithms (MaOEAs) need to simultaneously maintain convergence and population diversity in the high-dimensional objective space. In order balance relationship between convergence, we introduce a Kernel matrix probability model called determinantal point processes (DPPs). Our MaOEA with DPPs (MaOEADPPs) is presented compared several state-of-the-art on various MaOPs numbers objectives. The experimental...
The sustainable separation process for the recovery of acetonitrile from wastewater is essential to achieve circular economy and environmental protection. In this work, we demonstrate systematically a methodology develop an energy-efficient extractive distillation separating water azeotrope. First, performances candidate entrainers, i.e., ionic liquids (ILs) ethylene glycol (EG), were determined using residue curve maps. Second, boundaries decision variables optimization procedures obtained...
Aqueous zinc ion batteries show great promise for future applications due to their high safety and ecofriendliness. However, nonuniform dendrite growth parasitic reactions on the Zn anode have severely impeded use. Herein, a hybrid ionic-electronic conducting ink composed of graphene-like carbon nitride (g-C