Step into a magnificent miniature wonderland where small insects gracefully traverse pond surfaces, raindrops delicately splash onto vibrating foliage, and dragonflies glide through the air. In this talk, I will showcase my group's recent advances in creating sophisticated differentiable representations and computational tools, all designed to address the complexities of these captivating physical systems while overcoming the challenges posed by the curse of dimensionality. Our work is threefold: first, we introduce novel geometric representations and solvers to accurately simulate the complex processes of small-scale solids and fluids; second, we employ geometric design and optimization algorithms to push performance boundaries and synthesize designs inspired by nature's ingenuity; and lastly, we utilize machine-learning algorithms grounded in physical principles to unearth the mechanics that govern these intricate systems. Throughout the talk, I will demonstrate the wide-ranging applications of these computational tools across various disciplines.
Bo Zhu is an Assistant Professor affiliated to the School of Interactive Computing at Georgia Institute of Technology. His research focuses on the intersection of computer graphics, computational physics, computational design, and scientific machine learning. He obtained his Ph.D. in Computer Science from Stanford University and completed postdoctoral training at MIT CSAIL. His works have been supported by multiple funding agencies and industrial sponsors. He is a recipient of the NSF CAREER Award in 2022.