A5090435710- Structural Analysis and Optimization
- Chinese history and philosophy
- Structural Health Monitoring Techniques
- Topology Optimization in Engineering
- Japanese History and Culture
- Structural Engineering and Vibration Analysis
- Composite Structure Analysis and Optimization
- Architecture and Computational Design
- Infrastructure Maintenance and Monitoring
- Innovative concrete reinforcement materials
- Renal Diseases and Glomerulopathies
- Advanced Numerical Analysis Techniques
- Structural Load-Bearing Analysis
- Advanced Multi-Objective Optimization Algorithms
- Structural Behavior of Reinforced Concrete
- Probabilistic and Robust Engineering Design
- Model Reduction and Neural Networks
- Vibration and Dynamic Analysis
- Corporate Social Responsibility Reporting
- Corporate Finance and Governance
- Chronic Kidney Disease and Diabetes
- Advanced Materials and Mechanics
- Numerical methods in engineering
- Parathyroid Disorders and Treatments
- Concrete Corrosion and Durability
Sejong University
2016-2025
Gyeongsang National University Hospital
2020-2025
Gyeongsang National University
2024
Weatherford College
2021-2024
Sogang University
2019-2023
Hanwha Solutions (South Korea)
2022
Committee on Publication Ethics
2021
Samsung (South Korea)
2020-2021
Samsung (United States)
2021
National University College
2020
Molecular layer-by-layer (mLbL) assembled thin-film composite membranes fabricated by alternating deposition of reactive monomers on porous supports exhibit both improved salt rejection and enhanced water flux compared to traditional reverse osmosis prepared interfacial polymerization. Additionally, the well-controlled structures achieved mLbL further lead antifouling performance. As a service our authors readers, this journal provides supporting information supplied authors. Such materials...
Abstract Because the proportion between compressive strength of high‐performance concrete (HPC) and its composition is highly nonlinear, more advanced regression methods are demanded to obtain better results. Super learner models, which based on several ensemble including random forest (RFR), an adaptive boosting (AdaBoost), gradient machine (GBM), extreme (XGBoost), light (LightGBM), categorical Boosting (CatBoost), used solve this complicated problem. A grid search method employed...