Lynn Cook

Every year, millions of people worldwide suffer from tissue failure due to aging, acute and/or chronic injuries. Tissue-inspired structural and functional materials are designed to deliver unprecedented properties comparable to those of native human tissue.

Visual anemometry (VA) leverages observations of fluid-structure interactions to infer incident flow characteristics. Recent work has demonstrated the concept of VA using both data-driven and physical modeling approaches applied to natural vegetation. These methods have not yet achieved generalization across plant species and demonstrated increasing prediction errors at low and high wind speeds.

Many human health problems are associated with alteration of tissue mechanics and often require mechanical stimulation to promote the healing process. While it is now well established that the mechanics of the cellular microenvironment regulate various biological processes, most studies have focused only on the effect of stiffness, leaving other mechanical parameters such as viscoelasticity unexplored.

The single-atom catalysts (SACs) offer controllable coordination environments and exceptional atom utilization efficiency, revolutionizing the design of high-performance, sustainable catalysts. Here I share my research and development of the cryogenic synthesis method as a novel platform for discovering and manufacturing energy and environmental materials with atomic precision.

The presentation highlights Pilla research group’s journey in advanced composites: ‘Atoms to Autos’, that bridges fundamental science with applied engineering to enable sustainable technologies transforming the mobility industry.

Efficient learning for stochastic control and estimation remains a topic of high interest in a variety of disciplines and there are well-known advantages and disadvantages to both model-free and model-based learning. On one hand, it is becoming increasingly more feasible to rely entirely on model-free/data-driven methods for controlling complex stochastic systems, but a well-known issue with these methods is the inefficiency of their data consumption and computation time.

Atomically thin 2D materials offer new opportunities to study, understand, and control mass transport at the fundamental limit of length scales. Specifically, they allow for probing quantum tunneling as well as size-selective ionic/molecular sieving through defects that manifest as pores in an atomically thin membrane. Here, I will discuss our recent work in bottom-up 2D material synthesis and processing to enable fully functional large-area nanoporous atomically thin membranes for dialysis, ionic/molecular separations, desalination, and nanoscale aerosol filtration.