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PICS Colloquium: “Designing energy conversion materials with ab-initio and active machine learning computations of electron-phonon and ion dynamics”

Zoom - email kathom@seas.upenn.edu

Abstract: Accurate atomistic computations of transport and reaction dynamics are an important challenge and an opportunity for designing materials for energy conversion and storage. In the context of thermoelectric materials, we develop new automatable computational methods for describing electron-phonon scattering dynamics. By predicting electrical transport properties, we computationally discovered several new low-cost thermoelectric alloys with […]

ESE Seminar: “Quantum Dot Plasmon Nanolasers”

Zoom - Email ESE for Link jbatter@seas.upenn.edu

Miniaturized light sources are critical for next-generation on-chip photonic devices. Plasmon-based lasers and surface plasmon amplified spontaneous emission of radiation (spasers) have received significant attention since their prediction over a decay over a decade ago. Major advances have included subwavelength footprint sizes, room-temperature operation, far-field emission directionality, and understanding of the lasing mechanism. Notably, one […]

PICS Colloquium: “Swarming bacteria as novel active biomaterials – insights into the collective mechanics, particle transport and morphological adaptation in swarming bacteria from in-silico experiments”

Abstract: Flagellated and motile bacteria, in isolation or in coexistence with fungi, are implicated in about two-thirds of human infections. During infection, and generally even in relatively benign situations, bacteria may colonize surfaces via a process called swarming – a form of rapid translocation associated with changes in cell phenotype.  As swarmer cells move rapidly, they interact […]

ESE Seminar: “The Role of Explicit Regularization in Overparameterized Neural Networks”

Zoom - Email ESE for Link jbatter@seas.upenn.edu

Overparameterized neural networks have proved to be remarkably successful in many complex tasks such as image classification and deep reinforcement learning. In this talk, we will consider the role of explicit regularization in training overparameterized neural networks. Specifically, we consider ReLU networks and show that the landscape of commonly used regularized loss functions have the […]

ESE Seminar: “Learning is Pruning”

Zoom - Email ESE for Link jbatter@seas.upenn.edu

The strong lottery ticket hypothesis (LTH) postulates that any neural network can be approximated by simply pruning a sufficiently larger network of random weights. Recent work establishes that the strong LTH is true if the random network to be pruned is a large poly-factor wider than the target one. This polynomial over-parameterization is at odds with […]

PICS Colloquium: “Machine learning for Fluid Mechanics”

Abstract: Many tasks in fluid mechanics, such as design optimization and control, are challenging because fluids are nonlinear and exhibit a large range of scales in both space and time. This range of scales necessitates exceedingly high-dimensional measurements and computational discretization to resolve all relevant features, resulting in vast data sets and time-intensive computations. Indeed, […]

ESE Seminar: “(Re)building Human Dexterity: Inferring Musculoskeletal Dynamics for Next-Generation Assistive Devices & Diagnostics”

Zoom - Email ESE for Link jbatter@seas.upenn.edu

While there exist a number of mechanically sophisticated exoskeletons, prostheses, and assistive robots, with articulations similar to those of the intact human arm and hand, these devices remain limited in their ability to augment human dexterity and safely interact with human users and collaborators. In particular, due to the limits of conventional sensing, robots remain […]

PICS Colloquia: “Recent Advances in Modeling Subduction and Viscoelastic Flow in Geodynamic Computations”

Zoom - email kathom@seas.upenn.edu

Abstract: We will describe two separate but related methodologies that have been implemented in the open source, finite element code ASPECT, which computational geophysicists use to model a wide variety of problems that arise in Earth and Planetary geophysics. The first technique is a volume-of-fluid (VOF) interface tracking algorithm that was originally designed to model […]

ESE Seminar: “Sensing the Physical World using Pervasive Wireless Infrastructure”

Zoom - Email ESE for Link jbatter@seas.upenn.edu

Emerging applications such as smart cities, autonomous vehicles, and mixed reality rely on embedded systems that are engaging with the physical environment through sensors. Building upon this connection, my vision is to advance Omnipresent Sensing by harnessing the wireless infrastructure in and around buildings and cities to act as a non-intrusive sensing platform. This is possible by […]

PICS Colloquium: “Learning about learning by many-body systems”

Abstract: Many-body systems from soap bubbles to suspensions to polymers learn the drives that push them far from equilibrium. This learning has been detected with thermodynamic properties, such as work absorption and strain. We progress beyond these macroscopic properties that were first defined for equilibrium contexts: We quantify statistical mechanical learning with representation learning, a […]