A5058277971- Advanced Mathematical Modeling in Engineering
- Model Reduction and Neural Networks
- Advanced Numerical Methods in Computational Mathematics
- Probabilistic and Robust Engineering Design
- Nonlinear Partial Differential Equations
- Numerical methods in inverse problems
- Tensor decomposition and applications
- Composite Material Mechanics
- Perovskite Materials and Applications
- Numerical methods for differential equations
- Topology Optimization in Engineering
- 2D Materials and Applications
- Fault Detection and Control Systems
- Advanced Multi-Objective Optimization Algorithms
- Remote Sensing and Land Use
- Plant biochemistry and biosynthesis
- Lipid metabolism and biosynthesis
- GDF15 and Related Biomarkers
- Combustion and flame dynamics
- Face and Expression Recognition
- Time Series Analysis and Forecasting
- Numerical methods in engineering
- Modeling and Simulation Systems
- Structural Health Monitoring Techniques
- Cavitation Phenomena in Pumps
Hunan University
2015-2024
Huazhong University of Science and Technology
2022
Union Hospital
2022
South China University of Technology
2022
Yunnan University of Traditional Chinese Medicine
2022
Nuclear and Radiation Safety Center
2022
China Jiliang University
2020-2021
Shaanxi University of Chinese Medicine
2020
Peking University
2019
Xiangtan University
2015
Electron injection leads to the transition of two-dimensional MoX<sub>2</sub> (X = S, Se, and Te) nanosheets from semiconducting H phase semimetallic T′ phase.
A hierarchical computational screening method is used to find layered lead-free metal halide perovskites with high stability and outstanding optoelectronic properties.
Pharmacy intravenous admixture service (PIVAS) center has emerged as an important department of hospital it can improve occupational protection and ensure the safety effectiveness infusions. However, medication errors were considered to be a significant challenge in PIVAS, so information-intelligence technologies introduced optimize management PIVAS. Our article summarized application PIVAS large third-class A China, provided example for other hospitals at home abroad.Prescription-reviewing...
The sea cucumber peptides (SCPs) from Acaudina leucoprocta were derived the patented bio-enzyme digestion technology and molecular weight of obtained SCPs was < 10 kDa. In this study, we investigated possible anti-aging effects on model Caenorhabditis elegans underlying mechanisms. extend average lifespan nematodes by 31.46%. enhance anti-stress capacity C. improving heat resistance mobility, Also, accumulated potential oxidative stress inducers like lipofuscin reactive oxygen species (ROS)...
In this paper, we propose a novel variable-separation (VS) method for generic multivariate functions. The idea of the VS is extended to obtain solution in tensor product structure stochastic partial differential equations (SPDEs). Compared with many widely used variation-separation methods, shares their merits but has less computation complexity and better efficiency. can be get separated representation SPDE systematic enrichment manner. No iteration performed at each step. This significant...
Abstract In this paper, we develop a reduced generalized multiscale basis method for efficiently solving the parametrized groundwater flow problems in heterogeneous porous media. Recently proposed finite element (GMsFE) is one of accurate and efficient methods to solve on coarse grid. However, GMsFE functions usually depend random parameters model, which substantially impacts computation efficiency when equation needs be solved many times instances parameters. To enhance efficiency,...
Parametric dynamical systems are widely used to model physical systems, but their numerical simulation can be computationally demanding due nonlinearity, long-time simulation, and multi-query requirements.Model reduction methods aim reduce computation complexity improve efficiency.However, traditional inefficient for parametric with nonlinear structures.To address this challenge, we propose an adaptive method based on local dynamic mode decomposition (DMD) construct efficient reliable...
In this paper, an ensemble-based efficient iterative method is used to solve the partial differential equations (PDEs) with random inputs. The aim of get good approximation Galerkin solution for PDEs An essential ingredient proposed construct decomposition stochastic functions, which involves parameter-independent and parameter-dependent. parameter-dependent term can affect computation efficiency accuracy. order decrease cost, by performed a fixed-point manner. decomposes into offline phase...
In this paper, we consider a variable-separation (VS) method to solve the nonlinear partial differential equations (PDEs) with random inputs. The aim of VS is get sep- arated representation Galerkin solution for PDEs An essential ingredient proposed construction optimal stochastic basis functions. nonlinearity can affect computation efficiency and may bring challenges order overcome difficulty, develop such that functions are generated in an incremental constructive man- ner. At each...