A5101813663- Landslides and related hazards
- Rock Mechanics and Modeling
- Physics of Superconductivity and Magnetism
- Drilling and Well Engineering
- Dam Engineering and Safety
- Anomaly Detection Techniques and Applications
- Geoscience and Mining Technology
- Geotechnical Engineering and Analysis
- Topological Materials and Phenomena
- Graphene research and applications
- Geomechanics and Mining Engineering
- Advanced Condensed Matter Physics
- Seismology and Earthquake Studies
- Quantum many-body systems
- Geotechnical and Geomechanical Engineering
- Single-cell and spatial transcriptomics
- Grouting, Rheology, and Soil Mechanics
- Hydrocarbon exploration and reservoir analysis
- Superconductivity in MgB2 and Alloys
- Bioinformatics and Genomic Networks
- Quantum and electron transport phenomena
- Domain Adaptation and Few-Shot Learning
- Electrohydrodynamics and Fluid Dynamics
- Electrowetting and Microfluidic Technologies
- Theoretical and Computational Physics
Tsinghua University
2022-2024
Zhejiang Ocean University
2022-2024
Institute of Information Engineering
2023-2024
Chinese Academy of Sciences
2023-2024
University of Chinese Academy of Sciences
2023-2024
Zhejiang University
2022-2024
University of Michigan
2023
Beijing Normal University
2023
Chongqing University
2022
Central South University
2021-2022
Joints shear strength is a critical parameter during the design and construction of geotechnical engineering structures. The prevailing models mostly adopt form empirical functions, employing mathematical regression techniques to represent experimental data. As an alternative approach, this paper proposes new integrated intelligent computing paradigm that aims predict joints strength. Five metaheuristic optimization algorithms, including chameleon swarm algorithm (CSA), slime mold algorithm,...
Abstract The classical Mohr–Coulomb criterion has an extremely wide range of applications in the field engineering geology, while it cannot accurately characterize rock failure under high confining stresses. Therefore, a nonlinear modification is implemented based on for achieving wider usage all stress environments. cohesion and internal friction angle are firstly calculated by regression triaxial experiments diorite other typical rocks different ranges, variation modes then formalized...
The uniaxial compressive strength of rock is one the important parameters characterizing properties masses in geotechnical engineering. To quickly and accurately predict rock, a new SSA-XGBoost optimizer prediction model was produced to 290 samples. With four parameters, namely, porosity (n,%), Schmidt rebound number (Rn), longitudinal wave velocity (Vp, m/s), point load (Is(50), MPa) as input variables (UCS, output variables, built based on model. verify effectiveness model, empirical...
Rockburst is an extremely hazardous geological disaster. In order to accurately predict the degree of rockbursts, this paper proposes eight new classification models for predicting intensity level rockbursts based on intelligent optimisation algorithms and deep learning techniques collects 287 sets real rockburst data form a sample database, in which six quantitative indicators are selected as feature parameters. validate effectiveness constructed machine prediction models, study Accuracy,...
Debris flow, a typical non-Newtonian fluid, exhibits rheological behavior significantly influenced by particle size distribution. Traditional models often struggle with applicability and predictive accuracy in complex systems. This study proposes modified Herschel–Bulkley–Papanastasiou (HBP) model, incorporating distribution parameters to dynamically adjust yield stress shear viscosity, enhancing its describing debris flow under varying gradations. The model distinguishes the roles of fine...
Drug resistance is a critical obstacle in cancer therapy. Discovering drug response important to improve anti-cancer treatment and guide design. Abundant genomic resources of cell lines provide unprecedented opportunities for such study. However, cannot fully reflect heterogeneous tumor microenvironments. Transferring knowledge studied from vitro single-cell clinical data will be promising direction better understand resistance. Most current studies include single nucleotide variants (SNV)...
Rock bursts are among the most severe and unpredictable hazards encountered in deep rock engineering, posing substantial threats to both construction safety project progress. This study provides a comprehensive investigation into how moisture infiltration influences propensity for bursts, aiming establish new theoretical foundations practical methods their prevention. Through analysis of meticulous laboratory mechanical experiments sophisticated numerical simulations, we analyzed variations...
Aiming at the fuzziness and randomness of goaf stability classification, to obtain classification more objectively, an entropy weight‐normal cloud model for is proposed. Based on geological conditions engineering conditions, 14 indexes that affect a are selected establish evaluation index system, weight each determined using method, which makes distribution objective. theory, numerical characteristics belonging level calculated, corresponding generated. Combined with weight, comprehensive...
Nanoscale zero‐valent iron (nZVI), an environmentally benign material, has been used to remove heavy metals and metalloids from the aqueous phase because of its high reactivity abundant reactive sites. To improve stability nZVI, nanoscale supported by amino‐modified biochar (ZVIA‐BC) was prepared characterized. Its ability metalloid investigated. Fourier transform infrared spectroscopy analyses showed that amino group chemically bound functional groups biochar. X‐ray photoelectron (XPS)...