A5037364559- Tailings Management and Properties
- Rock Mechanics and Modeling
- Mine drainage and remediation techniques
- Mineral Processing and Grinding
- Concrete and Cement Materials Research
- Geochemistry and Geologic Mapping
- Recycling and utilization of industrial and municipal waste in materials production
- Coal and Its By-products
- Mining and Resource Management
- Geotechnical Engineering and Analysis
- Magnesium Oxide Properties and Applications
- Dam Engineering and Safety
- Landslides and related hazards
- Underground infrastructure and sustainability
- Geotechnical Engineering and Underground Structures
- Soil Geostatistics and Mapping
- Heavy metals in environment
- Recycled Aggregate Concrete Performance
- Metal Extraction and Bioleaching
- Landfill Environmental Impact Studies
- Spectroscopy and Chemometric Analyses
- Drilling and Well Engineering
- Grouting, Rheology, and Soil Mechanics
- Geoscience and Mining Technology
- Hydrological Forecasting Using AI
Central South University
2018-2025
Chinese National Engineering Research Center for Control and Treatment of Heavy Metal Pollution
2024
The University of Western Australia
2017-2024
China University of Mining and Technology
2017-2023
Tianjin University
2022
Shandong University of Science and Technology
2022
Beijing University of Civil Engineering and Architecture
2011-2022
Center for Special Minimally Invasive and Robotic Surgery
2019
Shenzhen Institutes of Advanced Technology
2019
Chinese Academy of Sciences
2019
Abstract Cement hydration is crucial for the strength development of cement-based materials; however, mechanism that underlies this complex reaction remains poorly understood at molecular level. An in-depth understanding cement required environmentally friendly and consequently reduction carbon emissions in industry. Here, we use dynamics simulations with a reactive force field to investigate initial processes tricalcium silicate (C 3 S) dicalcium 2 up 40 ns. Our provide theoretical support...
Abstract Topsoil arsenic (As) contamination threatens the ecological environment and human health. However, traditional methods for As identification rely on on-site sampling chemical analysis, which are cumbersome, time-consuming, costly. Here we developed a method combining visible near infrared spectra deep learning to predict topsoil content. We showed that optimum fully connected neural network model had high robustness generalization (R-Square values of 0.688 0.692 validation testing...
Risk of flash floods is currently an important problem in many parts Vietnam. In this study, we used four machine-learning methods, namely Kernel Logistic Regression (KLR), Radial Basis Function Classifier (RBFC), Multinomial Naïve Bayes (NBM), and Model Tree (LMT) to generate flood susceptibility maps at the minor part Nghe An province Center region (Vietnam) where recurrent problems are being experienced. Performance these methods was evaluated select best method for mapping. model...
Determination of shear strength soil is very important in civil engineering for foundation design, earth and rock fill dam highway airfield stability slopes cuts, the design coastal structures. In this study, a novel hybrid soft computing model (RF-PSO) random forest (RF) particle swarm optimization (PSO) was developed used to estimate undrained based on clay content (%), moisture specific gravity void ratio liquid limit plastic (%). experimental results 127 samples from national project Hai...