A large fraction of cell and tissue mass is made of water. The flow of water across the cell surface follows osmotic and hydraulic pressure gradients, and is actively controlled […]
In nature, organized arrays of elements arise spontaneously from the interactions between their component parts, e.g. reaction-diffusion problems, clustering colloidal particles and granular media, wrinkling surfaces, propagating cracks and flowing […]
Join us on Monday, January 16 at 4:00 pm in Towne Heilmeier Hall (Room 100) to discuss the impact community engagement has on the Philadelphia community and its long-lasting effect […]
Multifunctional soft materials and interfaces create intriguing new opportunities to enhance performance through programmable and adaptable properties. I will discuss: 1) Novel material architectures of solid-liquid soft composites for electronics, […]
Presentation Abstract: Faced with unlabeled data in deployment that is sampled from a different distribution than that which generated the training data, all bets are off. Moreover, while numerous heuristics […]
This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. ABSTRACT Philadelphia Robotics Coalition founder, and School District of Philadelphia engineering teacher Michael Johnson discusses how Philadelphia […]
Modern materials contain extraordinary levels of complexity, with components spanning a hierarchy of length scales. Designing materials with complex microstructures and demonstrating unique behaviors would be difficult solely using a […]
"Tissue Architecture Driven by Immune Cells" John has developed multiplexed spatial omics techniques and computational tools to decode critical interactions within the multidimensional data (e.g., multiscale models and deep learning […]
In this work, we present a low-rank tensor approach for approximating solutions to the nonlinear Vlasov equation. Our method takes advantage of the tensor-friendly nature of the differential operators in […]
Advances in machine learning and reduced-order modeling are rendering construction of digital twins for complex systems possible. We are using these tools to perform scientific discovery, design optimization, and data-informed […]
Complex, three dimensional (3D) micro/nanostructures in biology provide sophisticated, essential functions in even the most basic forms of life. Compelling opportunities exist for analogous 3D structures in man-made devices, but […]