Skunkworkers have helped contribute to a new work using machine learning to predict how to make better metallic glasses. See paper here. Afflerbach, Benjamin T., Carter Francis, Lane E. Schultz, Janine Spethson, Vanessa Meschke, Elliot …
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Skunkworkers lead interdisciplinary work across medical school and engineering
A closer look: Machine learning collaborations are helping to improve medical imaging
New Skunkworks Paper on Predicting Nuclear Materials Behavior
We are very excited about our new paper from collaborators at UW Madison, Santa Barbara, and Skunkworks students. The work shows strengths of machine learning for predicting embrittlement of steels in nuclear reactors. See paper …
First paper from Skunkworks on Machine Learning for Radiology
Left: CT of Pancreatic cyst. Right: Adam Awe, a medical student who is the lead author, presenting the results at the Shapiro forum at the UW Medical School. He also presented at two subsequent national …
Informatics Skunkworks 9th All-Hands Meeting Friday December 10th, 2021
Where/When: Saturday December 10th, 2021, Remote via Zoom Meeting Agenda Author names are alphabetical by last name. All times are listed in central time. For presenters please plan to leave 5 minutes for questions within …
Skunkworks talk at the ACS Annual Meeting
Congratulations to Matthew (Matt) Stilwell for his presentation on the Informatics Skunkworks at the annual ACS meeting (full citation below). Matthew D. Stilwell, Anne Lynn Gillian-Daniel, Ben Afflerbach, Wendy Crone, Dane Morgan (2021, April 5-30). …
Thanks to All Skunkworks Participants for Spring 21
Thank you to everyone who worked through all the extra challenges of remote learning to help the Skunkworks have an outstanding experience this Spring 2021. We had over 80 participants and did so much amazing …
Podcast on skunkworks
Hear Prof. Morgan’s podcast on undergraduate research in materials informatics with the Informatics Skunkworks here, along with other interesting podcasts on materials informatics. This was created with support from the National Science Foundation and its …
Creative Scientific Collaborations using Deep Learning emerge from COVID Disruptions
We are very proud to have been able with work with colleagues are Argonne National Laboratory to team up with some of their staff, whose usual activities were disrupted by COVID-19, in data labeling for …
Informatics Skunkworks 8th All-Hands Meeting Saturday December 7th, 2019 (ERB 1307)
Informatics Skunkworks 8th All-Hands Meeting Saturday December 7th, 2019, Room ERB 1307, UW Madison Names are alphabetical by last name 10:00 am Welcome, Coffee + donuts/bagels, T-shirts, Introductory Remarks (Dane Morgan) 10:25 pm Defect Detection in …