ESE Fall Seminar – “Stochastic Geometry for Networks”

Berger Auditorium (Room 13), Skirkanich Hall 210 South 33rd Street, Philadelphia, PA, United States

Stochastic geometry is a branch of probability theory that deals with the study of random spatial patterns. Random point patterns, termed point processes, are the most basic such objects that […]

PICS Colloquium: “Exploring the landscape of model representations”

PICS Conference Room 534 - A Wing , 5th Floor 3401 Walnut Street, Philadelphia, PA, United States

Many studies adopt low-resolution, coarse-grained (CG) models to investigate polymers, proteins, and other soft materials. These studies must first specify the details that are retained in the low-resolution model, i.e., […]

ESE Spring Seminar – “Physics-inspired Machine Learning”

Glandt Forum, Singh Center for Nanotechnology 3205 Walnut Street, Philadelphia, PA, United States

Combining physics with machine learning is a rapidly growing field of research. Thereby, most work focuses on leveraging machine learning methods to solve problems in physics. Here, however, we focus […]

ESE & BE Spring Seminar – “Ultra-high-throughput computational imaging: towards a trillion voxels per second”

Raisler Lounge (Room 225), Towne Building 220 South 33rd Street, Philadelphia, PA, United States

Traditional biomedical imaging techniques face throughput bottlenecks that limit our ability to study complex dynamic samples like cells, organoids, tissues, and organisms. In particular, hardware-only systems have inherent physical limitations […]