Committee: Robert Riggleman, PhD (co-advisor); Russell Composto, PhD (co-advisor); Ravi Radhakrishan, PhD; and Jeff Meth, PhD
Low temperature synthesis of high quality 2D materials directly on flexible substrates remains a fundamental limitation towards realization of robust, strainable electronics possessing the unique physical properties of atomically thin […]
A reception on inclusion will be held for new Penn Engineering doctoral students to connect them to their peers and supporting structures within the school. Please join the Dean, Deputy Dean, […]
Abstract: We aim to establish and experimentally test mathematical models of embryogenesis. While the foundation of this research is based on models of isolated developmental events, the ultimate challenge is […]
Compressive Sensing is an acquisition technique which relies on the sparsity of the underlying signals, to enable sampling below the classical Nyquist rate. To do so, the signals must be […]
A dynamical systems approach is taken to explain the dynamics of two classes of ‘gap-leaping’ geophysical flow as well as the hypersonic second-mode instability. First, in the context of a […]
Abstract: Lipid materials having nanostructures that deviate from the conventional flat bilayer arrangement such as hexagonally packed lipid tubes and bi-continuous cubic phases are ubiquitous in nature. Their role remains elusive but over […]
A very popular trick for solving certain types of optimization problems is this: write your objective as the solution of a two-player zero-sum game, endow both players with an appropriate learning […]
This talk will cover 1) devices created one atomic layer at a time and 2) electrowetting optical elements. Atomic layer deposition (ALD) and Atomic Layer Etching (ALE) are self-limiting processes […]
Abstract: Modern machine learning models, and in particular multilayer neural networks, exhibit a broad range of puzzling phenomena. Their training requires to minimize a highly non-convex high-dimensional cost function, and […]