Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. TensorFlow is a popular software library that is often used to construct and train DNNs. In this workshop, […]
After the MICDE symposium join us at the Ann Arbor Brewing Co. – Tap Room. We will provide the appetizers and non-alcoholic drinks. Hope to see you there! Please RSVP […]
This workshop is an introduction to GPU programing for scientific and engineering applications. The basics of GPU architecture will be presented. Parallel programing strategies will be discussed followed by actual […]
Connecting atomistic simulations, defect-based theories and continuum plasticity in amorphous solids
Modern computers have a CPU with multiple cores (usually between 4-8). Come learn how to take advantage of them to parallelize and speed up your code. We’ll show you how […]
Massively Parallel Simulations of Hemodynamics in the Human Vasculature
Rhythms in neuronal networks with recurrent excitation
Probabilistic Methods for Uncertainty Quantification in Computational Models
Extension of the peridynamic theory of solids for the simulation of materials under extreme loadings