A5026716987- Combustion and flame dynamics
- Advanced Combustion Engine Technologies
- Combustion and Detonation Processes
- Heat transfer and supercritical fluids
- Fire dynamics and safety research
- Energetic Materials and Combustion
- Plant Pathogens and Fungal Diseases
- Nuclear reactor physics and engineering
- Nuclear Engineering Thermal-Hydraulics
- Lichen and fungal ecology
- Plasma and Flow Control in Aerodynamics
- Risk and Safety Analysis
- Thermochemical Biomass Conversion Processes
- Analytical Chemistry and Chromatography
- Mass Spectrometry Techniques and Applications
- Lattice Boltzmann Simulation Studies
- Ion-surface interactions and analysis
- Inflammatory Bowel Disease
- Mycorrhizal Fungi and Plant Interactions
- Advanced Chemical Sensor Technologies
- Bryophyte Studies and Records
- Plasma Applications and Diagnostics
- Peatlands and Wetlands Ecology
- Laser-induced spectroscopy and plasma
- Fluid Dynamics and Turbulent Flows
Ningbo University
2024
Guizhou University
2023-2024
Southern University of Science and Technology
2022-2024
Princeton University
2016-2022
Beijing Forestry University
2021
Abstract Plant disease, a huge burden, can cause yield loss of up to 100% and thus reduce food security. Actually, smart diagnosing diseases with plant phenomics is crucial for recovering the most loss, which usually requires sufficient image information. Hence, being pursued as an independent discipline enable development high-throughput phenotyping disease. However, we often face challenges in sharing large-scale data due incompatibilities formats descriptions provided by different...
Multiscale dynamical systems, modeled by high-dimensional stiff ordinary differential equations (ODEs) with wide-ranging characteristic timescales, arise across diverse fields of science and engineering, but their numerical solvers often encounter severe efficiency bottlenecks. This paper introduces a novel DeePODE method, which consists global multiscale sampling method fitting deep neural networks to handle systems. DeePODE's primary contribution is address the challenge efficiently...
Addressing health and safety crises stemming from various environmental ecological issues is a core focus of One Health (OH), which aims to balance optimize the humans, animals, environment. While many chemicals contribute significantly our quality life when properly used, others pose risks. Recently, assessing risks associated with has gained increasing significance in OH world. In silico models may address time-consuming costly challenges, fill gaps situations where no experimental data...
Developing efficient and accurate algorithms for chemistry integration is a challenging task due to its strong stiffness high dimensionality. The current work presents deep learning-based numerical method called DeepCombustion0.0 solve stiff ordinary differential equation systems. homogeneous autoignition of DME/air mixture, including 54 species, adopted as an example illustrate the validity accuracy algorithm. training testing datasets cover wide range temperature, pressure, mixture...
Inland river basins include critical habitats and provide various ecosystem services in extremely arid lands. However, we know little about the distribution patterns of soil fungal communities these basins. We investigated from riparian oasis zone (ROZ) to circumjacent desert (CDZ) at lower reaches Heihe River. The results indicated that were mainly dominated by phyla Ascomycota Basidiomycota across all samples. dominant fungi taxa significantly different between ROZ CDZ both phylum genus...
A novel inwardly off-center shearing jet-stirred reactor is proposed and examined computationally. The compared with two traditional designs, the outward cross-injector concentric inward reactor. results show that present has significant improvement in terms of mixture uniformity residence time distribution. Numerical distributions reactors are wide long tailed because formation large stable vortices, corresponding mean classical deviates from theoretical value by about 20%, while new a much...
A compact in-trap single photon ionization (SPI) system, termed discontinuous atmospheric pressure interface (DAPI) ion trap mass spectrometry (ITMS), for the rapid determination of trace volatile organic compounds (VOCs). DAPI enables maintenance high analyte in SPI source while preserving vacuum. Utilizing vacuum ultraviolet (VUV) lamp as source, we ionize within an enclosed miniature 3D efficient analysis. Experimental findings demonstrate that system achieves a resolution less than 0.5...
Developing efficient and accurate algorithms for chemistry integration is a challenging task due to its strong stiffness high dimensionality. The current work presents deep learning-based numerical method called DeepCombustion0.0 solve stiff ordinary differential equation systems. homogeneous autoignition of DME/air mixture, including 54 species, adopted as an example illustrate the validity accuracy algorithm. training testing datasets cover wide range temperature, pressure, mixture...