Curriculum Vitae
Personal Profiles:
Full name: Xiuya Guo
Gender: Female
Citizenship: P. R. China
Status: Lecturer
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Address:
[1] School of Mathematical & Computer Science, Wuhan Textile University,Wuhan, China
[2] Research Center of Nonlinear Science, Wuhan Textile University,Wuhan, China
Tel: +86-159-2753-9059 (Cell phone)
E-mail: xyguo@wtu.edu.cn
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Experience and Education:
2014/09-2019/06, School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan, China. (Ph.D)
2010/09-2014/06, School of Mathematics and Statistics, Henan University, Kaifeng, China. (Bachelor of Science)
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Research Interests:
The solution of partial differential equation; The numerical simulation of computational fluid dynamics.
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Published papers:
[1] Xiuya Guo, Baochang Shi, and Zhenhua Chai.General propagation lattice Boltzmann model for nonlinear advection- diffusion equations. Physical Review E, 97: 043310 (2018).
[2] Zhenhua Chai, Xiuya Guo, Lei Wang, and Baochang Shi. Maxwell-Stefan-theory-based lattice Boltzmann model for diffusion in multicomponent mixtures. Physical Review E, 99: 023312 (2019).
[3] Xiuya Guo, Zhenhua Chai, Shengyong Pang, Yong Zhao, and Baochang Shi. Mixed bounce-back boundary scheme of the general propagation lattice Boltzmann method for advection-diffusion equations. Physical Review E, 99, 063316 (2019).
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Conference and Presentations:
[1] The 13th International Conference for Microscopic Methods in Engineering and Science, Hamburg, Germany, 2016/07. (Oral Presentation)
[2] The 4th seminar for lattice Boltzmann method and its application, Beijing, China, 2016/11. (Oral Presentation)
[3] China Mechanics Conference in 2017 - celebrate the 60th anniversary of the founding of the Chinese Society of Mechanics, Beijing, China, 2017/08. (Poster)
[4] The 16th annual meeting of the chinese society of industrial and applied mathematics, Chengdu, Sichuan, 2018/08. (Oral Presentation)
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Funding:
[1] (National key research and development plan) Key technology and software for numerical simulation of laser additive manufacturing process for aviation parts. No: 2017YFE0100100, 2017/10-2020/11.