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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Research Interests
About me
Fluid-solid Coupling by Neural Network
Complex physical process can be learned and replaced by machine learning model. Use the IB-PINN machine learning model to conduct fluid–solid coupling is shown to be fast, reliable and accurate.
Wall Shear Stress Analysis for Blood Vessel's Inner Surface
To analyze the WSS in complex fluids with cell suspensions, numerical simulations of blood flows in simple straight channels were conducted, where the fluid-solid interactions were simulated by immersed boundary-lattice Boltzmann method. The spatiotemporal dynamics of WSS were analyzed using dynamic mode decomposition (DMD), which is a technique that can extract the low-rank spatiotemporal features from complex fluids.
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Posts
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Blog Post number 1
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portfolio
Vascular Model Processing
Preprocessing steps for the blood flow simulation. Mesh file is downloaded from open-source database Vascular Model Repository. 
Wave Interactions with Floating Structures Including Moorings
The floating structures on the water surface under the impact of waves can be studied by numerical simulations, and the stability of the structures can be studied by roll, pitch, yaw, etc.
Fluid-solid Coupling by Neural Networks
Complex physical process can be learned and replaced by machine learning model. Use the IB-PINN machine learning model to conduct fluid–solid coupling is shown to be fast, reliable, and accurate.
Wall Shear Stress Analysis for Blood Vessel’s Inner Surface
To analyze the WSS in complex fluids with cell suspensions, numerical simulations of blood flows in simple straight channels were conducted, where the fluid-solid interactions were simulated by immersed boundary-lattice Boltzmann method. The spatiotemporal dynamics of WSS were analyzed using dynamic mode decomposition (DMD), which is a technique that can extract the low-rank spatiotemporal features from complex fluids.
Dynamic Mode Decomposition on Covid-19 Data
Understanding the dynamics and spreading of COVID-19 is important in disease control and mitigation.
Investigation on Hydrodynamics of Fish Swimming
The fish swimming is achieved by immersed boundary-lattice Boltzmann method based on opensource software Palabos, and dynamic mode decomposition is applied on the simulation results.
publications
Vortex Suppression and Flow Pattern Analysis of a Hydrofoil with Parallel Grooves
Published in Processes, 2021
Recommended citation: Chen, Yue, et al. "Vortex Suppression and Flow Pattern Analysis of a Hydrofoil with Parallel Grooves." Processes 9.5 (2021): 816. https://www.mdpi.com/2227-9717/9/5/816
Flow pattern investigation of bionic fish by immersed boundary–lattice Boltzmann method and dynamic mode decomposition
Published in Ocean Engineering, 2022
Recommended citation: Fang, Dehong, et al. "Flow pattern investigation of bionic fish by immersed boundary–lattice Boltzmann method and dynamic mode decomposition." Ocean Engineering 248 (2022): 110823. https://doi.org/10.1016/j.oceaneng.2022.110823
Effect of fish swimming on the stability of flow fields inside the pipeline
Published in IOP Conference Series: Earth and Environmental Science, 2022
Recommended citation: Fang, D., et al. "Effect of fish swimming on the stability of flow fields inside the pipeline." IOP Conference Series: Earth and Environmental Science. Vol. 1037. No. 1. IOP Publishing, 2022. https://iopscience.iop.org/article/10.1088/1755-1315/1037/1/012056/meta
Stress Analysis on Walls in Complex Fluids with Fluid-Solid Interaction
Published in Graduate Research Theses & Dissertations., 2022
Recommended citation: Fang, Dehong. "Stress Analysis on Walls in Complex Fluids with Fluid-Solid Interaction." (2022). https://huskiecommons.lib.niu.edu/allgraduate-thesesdissertations/7022/
Immersed boundary-physics informed machine learning approach for fluid–solid coupling
Published in Ocean Engineering, 2022
Recommended citation: Fang, Dehong, and Jifu Tan. "Immersed boundary-physics informed machine learning approach for fluid–solid coupling." Ocean Engineering 263 (2022): 112360. https://doi.org/10.1016/j.oceaneng.2022.112360
Modal analysis on mechanism of bionic fish swimming by dynamic mode decomposition
Published in Ocean Engineering, 2023
Recommended citation: Fang, Dehong, Jinsong Zhang, and Zhenwei Huang. "Modal analysis on mechanism of bionic fish swimming by dynamic mode decomposition." Ocean Engineering 273 (2023): 113897. https://doi.org/10.1016/j.oceaneng.2023.113897
Dynamic Patterns and Modeling of Early COVID-19 Transmission by Dynamic Mode Decomposition
Published in Preventing Chronic Disease, 2023
Recommended citation: Fang D, Guo L, Hughes MC, Tan J. Dynamic Patterns and Modeling of Early COVID-19 Transmission by Dynamic Mode Decomposition. Prev Chronic Dis 2023;20:230089. http://dx.doi.org/10.5888/pcd20.230089
Immersed force analysis of fish surface with carangiform locomotion
Published in Physics of Fluids, 2024
Recommended citation: Fang, Dehong, et al. "Immersed force analysis of fish surface with carangiform locomotion." Physics of Fluids 36.3 (2024). https://doi.org/10.1063/5.0188125
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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