I am teaching advanced elasticity this semester. I have just written a google doc on my lecture on singular value decomposition of a homogeneous deformation. The PDF file of the doc is attached below
Robotics and Computer Science World Forum-2020 / RoboComp-2020.
November 09-10, 2020 | Lisbon, Portugal
Theme: Exploring the Frontiers of Knowledge in Robotics and Computer Science
IMPORTANT LINKS:
Abstract Submission Link:
https://www.continuumforums.com/robotics-conference/abstract-submission…
Registration Link:
We have an immediate opening for a postdoctoral student to join computational biomechanics laboratory at the University of Illinois at Chicago in the areas of either computational mechanics or experimental methods. Candidate are expected to have strong background in numerical simulations / computer programming and/or experimental characterization of soft tissue mechanics.
If you ever wanted to attend a conference where Natural Sciences meet Social Sciences. You may want to consider attending,
Materials can suffer mechanical fatigue when subjected to cyclic loading at stress levels much lower than the ultimate tensile strength, and understanding this behaviour is critical to evaluating long-term dynamic reliability. The fatigue life and damage mechanisms of two-dimensional (2D) materials, of interest for mechanical and electronic applications, are currently unknown. Here, we present a fatigue study of freestanding 2D materials, specifically graphene and graphene oxide (GO).
A canonical correlation analysis of the relationship between clinical attributes and patient-specific hemodynamic indices in adult pulmonary hypertension
https://www.sciencedirect.com/science/article/pii/S1350453320300096
Highlights
Machine learning (ML) in Mechanics is a fascinating and timely topic. This article follows from a kind invitation to provide some thoughts about the use of ML algorithms to solve mechanics problems by overviewing my past and current research efforts along with students and collaborators in this field. A brief introduction on ML is initially provided for the colleagues not familiar with the topic, followed by a section about the usefulness of ML in Mechanics, and finally I will reflect on the challenges and opportunities in this field.
I have an opening for a new postdoc to join my research group. The project is on the field-scale calibration of DEM models. Primary responsibilities include developing and executing large-scale experiments, interpretation and synthesis of results, and collaboration with modelers to perform the calibrations.
