Siyuan Song (Ph.D)
Position:
Postdoc Researcher in Brown University
Contact Info:
siyuan_song@brown.edu
Link:
Google Scholar
Github
Linkedin
Research Interest:
Mechanics of Nanoarchitectures, Machine Learning, Ruga Structures, Batteries, Friction
Education Background
2017~2023: Ph.D. Solid Mechanics, Brown University, Providence, RI, US
2015~2017: M.S. Solid Mechanics, Xi'an Jiaotong University, Xian, Shannxi, China
2011~2015: B.E. Tsien Hsue-shen class, Xi'an Jiaotong University, Xian, Shannxi, China
2008~2011: Henan Experimental High School, Zhengzhou, Henan, China
Research Experience
I am currently a postdoctoral researcher in Brown University. My research interest includes the dendrite growth in solid state batteries and the lithiation/delithiation process in Li/Si batteries. In addition, I am also working on the application of the physics informed neural networks and other machine learning topics.
During my Ph.D. program, my research encompassed a diverse range of fields. This included investigating dislocation-assisted interfacial sliding, exploring the mechanics of nano-architectures, and studying the configurational equilibrium of ruga structures.
I pursued my studies in the Solid Mechanics program at Brown University, with minor subjects in Applied Mathematics and Physics. Furthermore, I developed a strong passion for harnessing artificial intelligence to enhance the field of Solid Mechanics.
Using perturbation analysis, Fluent, and Comsol simulations, I developed a comprehensive model to elucidate the impact of surface roughness on the fluid dynamics, thermal behavior, and acoustic properties of porous media.
Skills