CBE PhD Dissertation Defense | Integrin crosstalk in the upstream migration of CD4+ T lymphocytes
CBE PhD Dissertation Defense | Investigation of High-Surface-Area Titanate (ATiO3) Thin Films Prepared by Atomic Layer Deposition
Abstract: “Heterogeneous catalysis is critically important in the chemical-processing and energy-related industries. Ideally, reaction sites on heterogeneous catalysts can be regenerated, and the catalysts should be active throughout the catalytic […]
MEAM Seminar: “Bridging Physical Models and Observational Data with Physics-informed Deep Learning”
Physical models of many natural and engineered systems are, at best, only partially known; a common setting under which classical analytical or computational tools inevitably face challenges and introduce many […]
PICS Colloquium: “Designing energy conversion materials with ab-initio and active machine learning computations of electron-phonon and ion dynamics”
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, […]
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 […]
PICS Seminar: “Simulating solids like fluids: A fully Eulerian approach to fluid-structure interaction”
Abstract: Fluids and solids tend to be addressed using distinct computational perspectives. Solid deformation is most commonly simulated with Lagrangian finite-element methods, whereas fluid flow is amenable to Eulerian-frame approaches […]
PICS Colloquium: “Data-driven model reduction and multiscale modal decomposition for complex chaotic systems”
Many complex nonequilibrium systems, including turbulent flows, are characterized by chaotic dynamics, a large number of degrees of freedom, and hierarchical, multiscale structure in space and time. In two vignettes, […]
PICS Seminar: “Fusing machine learning and atomistic simulations for materials design”
Data-driven approaches match or outperform humans at a number of tasks, including pattern recognition in images and text or planning and strategy in rule-based games. The application of machine learning […]
MEAM Seminar: “Operator Inference: Bridging Model Reduction and Scientific Machine Learning”
Model reduction methods have grown from the computational science community, with a focus on reducing high-dimensional models that arise from physics-based modeling, whereas machine learning has grown from the computer […]
PICS: “Python Workshop”
The Penn Institute for Computational Science (PICS) will be hosting a Python workshop on Saturday, November 7 from 10:00am – 3:30pm via Zoom. This course is designed to be an […]