1. Fundamental Research on Gas-Solid Reaction Flow: The rapid development of computational fluid dynamics (CFD) has made a significant impact in the aerospace field, but its role in energy and chemical engineering, which is more closely related to daily life, remains limited. This is mainly due to the complexity of multiphase flows involving particles or bubbles in the energy and chemical engineering sectors. The research group is dedicated to exploring the influence of heterogeneous particle structures on interphase forces, heat transfer, mass transfer, and reaction characteristics, with a focus on revealing the mechanisms of "three transfers and one reaction" at different scales. The ultimate goal is to develop mesoscopic models that can fully analyze these influences and establish high-fidelity numerical methods for gas-solid reaction flow. This will facilitate the prediction and optimization of gas-solid flow in large-scale reactors and lay a theoretical foundation for the digitalization and intelligence of process industries. This direction has successfully been awarded funding for four National Natural Science Foundation projects.

2. Digital Twin Technology for Reactors: In process industries, key equipment often involves extremely complex multiphysics processes, such as gasification furnaces, catalytic cracking reactors, catalytic pyrolysis reactors, cold hydrogenation fluidized bed reactors, granular silicon fluidized beds, polymerization reactors, ethylene cracking furnaces, fine chemical stirring tanks, and distillation equipment. These key devices involve the coupling of multiphase, multi-component, and multiphysics interactions. The research group aims to develop multiphysics digital twin technology based on high-fidelity numerical methods and real-time monitoring data, utilizing artificial intelligence. This technology will enable (1) visualization of "black box" equipment, (2) optimization of production efficiency to fully utilize equipment potential, and (3) assurance of long-term, high-efficiency operation. This technology is one of the essential technologies leading to future smart factories.
3. Carbon Neutrality Technology and Energy Storage Technology.

We welcome students who are grounded, innovative, passionate about science, and eager to explore to join our research group! Specific research directions include:

1. Theory and application of gas-solid reaction flow, fluidization numerical simulation, micro and mesoscopic modeling
2. Strongly coupled mesoscopic modeling and reactor simulation for "three transfers and one reaction"
3. Multiphysics reconstruction, AI-based multiphysics digital twins, and smart chemical engineering
4. CO2 solidification technology

Research methods:

1. Direct numerical simulation, two-fluid simulation, discrete element simulation, machine learning
2. Experimental studies on gas-solid flow

We welcome graduates or soon-to-be graduates with backgrounds in chemical engineering, energy dynamics, fluid mechanics, or related fields to join our team as postdoctoral researchers, associate researchers, or young talents!

Research platforms:

Shaanxi Province Key Laboratory for Energy and Chemical Process Enhancement

Green Hydrogen Electricity National Key Laboratory, formerly known as the National Key Laboratory for Multiphase Flow in Power Engineering. (http://mfpe.xjtu.edu.cn/info/1023/5769.htm)

Student training disciplines:

Chemical Engineering and Technology

Power Engineering and Engineering Thermophysics

Materials and Chemical Engineering (Chemical Engineering)

Energy Dynamics (Power Engineering)

Awards Received by Students in the Research Group:

• 2023: Yuan Shouzheng - Excellent Presentation at the 12th National Fluidization Conference and Particulate Technology Conference
• 2023: Wang Lingxue and Jiang Ming - Second Bettersize-Particuology Excellent Article Award
• 2023: Wang Lingxue, Zhang Yu, Duan Fan, Yuan Shouzheng, Zhao Liwen, He Xieyu - Silver Award at the Provincial Finals of the 8th China International "Internet Plus" College Students Innovation and Entrepreneurship Competition (Industry Proposition Track)
• 2023: Wang Lingxue - Excellent Presentation at the First Future Particulate Frontiers Forum
• 2022: Wang Lingxue - Third Prize at the 2022 University of Minnesota and Xi'an Jiaotong University Three-Minute Thesis (3MT) Competition
• 2020: Duan Fan - Excellent Student Presentation Award at the Second National Conference on Process Simulation and Simulation.