We are excited to share two new papers showing great capabilities for large language models to extract data from papers. This work originated as a Skunkworks project. Congratulations to undergraduates Shrey Modi, Anna Latosinska, Jinming …
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Congratulations to Skunkworkers for New Paper on Metallic Glasses
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 …
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 …
Congratulations to Skunkworkers for New Paper on Using Machine Learning to Accelerate STEM Modeling
Congratulations to Nick Lawrence, Mingren Shen, Ruiqi Yin, and Cloris Feng for their excellent work on using machine learning to accelerate electron microscopy modeling. The work showed how Generative Adversarial Neural Networks (GANs) could be …
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 …
Congratulations to Skunkworkers on New Paper on Concrete Properties
Congratulations to skunkworkers Vanessa Nilsen, Michael Hibbard and Adam Klager for our new Skunkworks led publication on machine learning of concrete properties. Reference is: Nilsen, V., Pham, L. T., Hibbard, M., Klager, A., Cramer, S. …
Skunkworkers present multiple posters at MRSEC site visit 2019-04-17
Skunkworkers presented two posters at the MRSEC site visit on 2019-04-17 to MRSEC members and visiting reviewers. One poster was led by an undergraduate team and collaborators from local company Silatronix (poster prepared by Nathaniel …
Informatics Skunkworks 7th All-Hands Meeting Saturday April 27th, 2019 (ECB 1025)
Informatics Skunkworks 7th All-Hands Meeting Saturday April 27th, 2019, Room ECB 1025, UW Madison All author names are listed alphabetically. 10:00 am Welcome, Coffee + donuts/bagels, T-shirts, Introductory Remarks (Dane Morgan) 10:25 pm Informatics Skunkworks Tools …