A5040471064- Machine Learning in Materials Science
- Computational Drug Discovery Methods
- Aquaculture Nutrition and Growth
- Aquaculture disease management and microbiota
- Block Copolymer Self-Assembly
- Lattice Boltzmann Simulation Studies
- Acoustic Wave Phenomena Research
- Material Dynamics and Properties
- Rheology and Fluid Dynamics Studies
- Blood properties and coagulation
- Fluid Dynamics Simulations and Interactions
- Erythrocyte Function and Pathophysiology
- Antioxidant Activity and Oxidative Stress
- Electrochemical Analysis and Applications
- Aquatic life and conservation
- Protein Structure and Dynamics
- Nanopore and Nanochannel Transport Studies
- Peroxisome Proliferator-Activated Receptors
- Composite Structure Analysis and Optimization
- Adipose Tissue and Metabolism
- Advanced Combustion Engine Technologies
- Vibration and Dynamic Analysis
- Various Chemistry Research Topics
- Advanced Graph Neural Networks
- Advanced Battery Technologies Research
Wuxi Institute of Technology
2025
Ocean University of China
2022-2025
Ministry of Agriculture and Rural Affairs
2022-2025
Xiamen University
2025
Jiangnan University
2025
Chuzhou University
2024
Anhui Medical University
2024
Nvidia (United States)
2022-2024
Nanjing University of Chinese Medicine
2024
Zhejiang University of Technology
2012-2024
An alkali-acitvated method was explored to synthesize activated carbon nanotubes (CNTs-A) with a high specific surface area (SSA), and large number of mesopores. The resulting CNTs-A were used as an adsorbent material for removal anionic cationic dyes in aqueous solutions. Experimental results indicated that have excellent adsorption capacity methyl orange (149 mg/g) methylene blue (399 mg/g). Alkali-activation treatment CNTs increased the SSA pore volume (PV), introduced oxygen-containing...
Sickle-cell anaemia (SCA) is an inherited blood disorder exhibiting heterogeneous cell morphology and abnormal rheology, especially under hypoxic conditions. By using a multiscale red (RBC) model with parameters derived from patient-specific data, we present mesoscopic computational study of the haemodynamic rheological characteristics SCA patients hydroxyurea (HU) treatment (on-HU) those without HU (off-HU). We determine shear viscosity in health as well different states disease. Our...
A non-isothermal mesoscopic model is developed to investigate the thermally induced phase transition dynamics of thermoresponsive polymers.
Thermal interactions through longwave radiation exchange between buildings, especially in a dense urban environment, can strongly influence building’s energy use and environmental impact. However, these are either neglected or oversimplified building modeling. We developed new feature EnergyPlus to explicitly consider this term the surface heat balance calculations an algorithm batch calculating surrounding surfaces’ view factors using ray-tracing technique. conducted case study with...
Propanethiol (PT) is a hazardous pollutant that poses risks to both the environment and human well-being.
We present large-scale simulation results on the self-assembly of amphiphilic systems in bulk solution and under soft confinement. Self-assembled unilamellar multilamellar vesicles are formed from molecules solution. The system is simulated by placing inside large (LUVs) dynamic confinement-induced self-assembled investigated. Moreover, sickle hemoglobin (HbS) a crowded fluctuating intracellular space our demonstrate that HbS self-assembles into polymer fibers causing LUV shape to be distorted.
We present a mesoscopic simulation study of doubly thermoresponsive self-assemblies, revealing previously unknown dynamic behavior and proving experimental hypotheses. By explicitly modeling internal energy as degree freedom coarse-grained particles, we simulated the thermally induced self-assembly process triggered by evolution temperature over time space. found that both external intrinsic factors are responsible for altering assembly pathway micelles hence determining final aggregate...
Data-driven prediction of molecular properties presents unique challenges to the design machine learning methods concerning data structure/dimensionality, symmetry adaption, and confidence management. In this paper, we present a kernel-based pipeline that can learn predict atomization energy molecules with high accuracy. The framework employs Gaussian process regression perform predictions based on similarity between molecules, which is computed using marginalized graph kernel. To apply...
Octanoate is a type of classical medium-chain fatty acids, which widely used to treat neurological and metabolic syndrome. However, the specific role octanoate in repairing intestinal health impairment currently unknown. Therefore, we investigated whether dietary repaired damage induced by surplus soybean oil Larimichthys crocea . In this study, alleviated abnormal morphology intestine enhanced expression ZO-1 ZO-2 improve physical barrier. Further, increased antioxidant enzymic activities...
Dietary high soybean oil (SO) levels might cause hepatic lipid deposition, induce oxidative stress and inflammatory response in aquatic animals, while octanoate (OCT) is beneficial to metabolism health mammals. However, the effect of OCT has been studied rarely animals. In this study, a 10-week feeding trial was conducted investigate supplemental on metabolism, serum biochemical indexes, antioxidant capacity large yellow croaker ( Larimichthys crocea ) fed with SO diet. The negative control...
Li-ion batteries, widely used in electronic devices, electric vehicles, and aviation, demand high energy density, fast charging capabilities, broad operating temperature ranges. Computational approaches combined with experimental design have gained increasing attention for electrolyte development. However, the inherent complexity of electrolytes—arising from their diverse compositions varying proportions—poses a significant challenge. Classical molecular dynamics often fails due to...
In this paper, a semi-analytic method based on Jacobi-Ritz modified boundary element is proposed to solve the acoustic radiation response of functionally graded cylindrical shell. Utilizing first-order shear deformation theory and differential method, shell calculation model established. The Jacobi polynomial adopted represent displacement tolerance function, Ritz used calculate vibration response. spectral principle applied discretize integral equations with polynomial. coupling shells are...