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 […]
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 […]
Bone mineral density rapidly decreases upon withdrawal from intermittent parathyroid hormone (PTH) treatment despite its potent effect of promoting bone formation. To better understand this adverse phenomenon, this study first […]
This seminar will be held virtually on Zoom. Check email for details or contact ksas@seas.upenn.edu. Although much progress has been made in building artificial human tissues over the past several […]
Abstract: The seminar will focus on the opportunities and challenges offered by the digital transformation of healthcare which was accelerated in the COVID-19 Pandemia. In this framework rehabilitation and social […]
Physical Sciences in Oncology Center PSOC@Penn Spring 2021 Webinar Series Mondays at 12:00 noon (EST) For webinar links, please contact manu@seas.upenn.edu.
The elastic properties of materials are determined by a few material constants such as the Young’s modulus. Using super-structures one can effectively change these “constants”. In this way we obtain […]
Abstract In recent years, a new type of synthetic microparticle has captured the imagination of researchers across the physical and biological sciences. These so-called active colloids convert chemical or environmental […]
I will present recent work on the modeling of the structural response of shape memory alloy tubes, bars, and beams. We have developed a new constitutive model that captures pseudoelastic […]
Abstract Machine learning and multiscale modeling complement each other in a unique way, enabling us to seamlessly integrate big data and biophysical pathways and interpret the results while formulating truly […]
