Engineering Leadership in a World of Accelerating Change Engineering bridges science and technology, driving innovation for the benefit of people and society. Today we live in an increasingly technology-dependent world shaped by engineers — and the pace of change is increasing exponentially. This calls for a reexamination of how we educate and empower engineers to […]
This event will be in-person ONLY in Wu and Chen Auditorium. ABSTRACT A hallmark of human vision is the ability to reason about the physics of the world: we can infer the shape of the object, how light reflects off the object, and how the object deforms under force. Yet today’s AI systems still lack […]
Abstract: Stochastic Reaction-Diffusion-Dynamics Model (SRDDM) for particle-based simulations of mechanochemical processes for thermodynamically large systems with high spatial and temporal resolution will be presented. The SRDDM couples the spatially inhomogeneous reaction-diffusion master equation to account for chemical reactions and molecular transport within the Langevin Dynamics (LD) framework to describe force-dependent dynamic processes at the whole […]
Abstract: Data-driven reduced-order models often struggle with high-dimensional nonlinear systems sensitive to low-variance coordinates, which are typically truncated. To address this, we use ideas from balanced truncation and active subspaces to identify low-dimensional coordinate systems that balance adjoint-based sensitivity information with state variance along trajectories. Our method, analogous to balanced truncation, replaces system Gramians with […]
Flexible mechanical metamaterials are engineered structures whose unique geometries allow them to display remarkable behaviors, especially in the nonlinear regime. These systems hold promise for enabling the next generation of smart materials and devices, offering capabilities such as shape morphing, programmable nonlinear responses, and energy manipulation. By embedding programmable mechanics, shape-shifting functions, and computational abilities […]
This event will be in-person ONLY in Wu and Chen Auditorium. ABSTRACT There are two dominant approaches to designing intelligent robots. One, typified by language behavior models, leverages unstructured deep neural networks and learning from demonstration to generate behavior. These approaches have had several impressive successes but face scaling, trust, and explainability challenges. The second […]
This event will be in-person ONLY in Wu and Chen Auditorium. ABSTRACT Robots in factories are still largely limited to structured environments with known object models. How can we bring robots into the more diverse, unstructured settings of our daily lives, where objects may be deformable or articulated and vary widely in shape and appearance, […]
Abstract: Active matter consists of particles that do work on their environment, for example by propelling themselves through a solvent. Fluids made from many interacting self-propelled particles have become popular as models of non-equilibrium matter: they are challenging for theory and computation because their steady states cannot be derived by minimizing a free energy, nor […]
