1. using physics-informed generative adversarial networks to enhance multiphase fluid flow simulation Open Access Author: Li, Matthew Title: using physics-informed generative adversarial networks to enhance multiphase fluid flow simulation Area of Honors: Computer Science Keywords: machine learningdeep learningcomputational fluid dynamicscfdnovel methodphysics-informed neural network File: Download thesis_matthew_li.pdf Thesis Supervisors: Chris Mc Comb, Thesis SupervisorJesse Louis Barlow, Thesis Honors Advisor
2. Symmetry Detection from Dance Textures Restricted (Penn State Only) Author: Li, Weisheng Title: Symmetry Detection from Dance Textures Area of Honors: Computer Science Keywords: motion capture dataSymmetryMachine Learning File: Login to Download Thesis Supervisors: Yanxi Liu, Thesis SupervisorRebecca Jane Passonneau, Thesis Honors Advisor