6 citations · 7 across the 2 of their papers we have counts for
4 papers
Mechanical resilience of ultra-low-density racing-shoe foams
Jeremy A. McCulloch, Ellen Kuhl
High-performance racing shoes rely on ultra-low-density elastomeric foams that undergo large, repeated deformations during running. Yet little is known about how their mechanical p…
Discovering the mechanics of ultra-low density elastomeric foams in elite-level racing shoes
Jeremy A. McCulloch, Scott L. Delp, Ellen Kuhl
Ultra-low-density elastomeric foams enable lightweight systems that combine high compliance with efficient energy return. In high-performance racing shoes, these foams are critical…
Discovering uncertainty: Gaussian constitutive neural networks with correlated weights
Jeremy A. McCulloch, Ellen Kuhl
When characterizing materials, it can be important to not only predict their mechanical properties, but also to estimate the probability distribution of these properties across a s…
On sparse regression, Lp-regularization, and automated model discovery
Jeremy A. McCulloch, Skyler R. St. Pierre, Kevin Linka +1
Sparse regression and feature extraction are the cornerstones of knowledge discovery from massive data. Their goal is to discover interpretable and predictive models that provide s…