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Papers

New methods on using Large Language Models to Extract Materials Databases from Literature from Skunkworks Team

Posted on March 15, 2023

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 …

Posted in News, Papers, Products, Uncategorized

Congratulations to Skunkworkers for New Paper on Metallic Glasses

Posted on May 4, 2022

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 …

Posted in Blog, Papers, Products

New Skunkworks Paper on Predicting Nuclear Materials Behavior

Posted on April 27, 2022

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 …

Posted in Blog, News, Papers

First paper from Skunkworks on Machine Learning for Radiology

Posted on March 9, 2022

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 …

Posted in Blog, News, Papers, Presentations, Products

Congratulations to Skunkworkers for New Paper on Using Machine Learning to Accelerate STEM Modeling

Posted on October 30, 2020

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 …

Posted in Papers, Products

Congratulations to Skunkworkers on New Paper on Concrete Properties

Posted on November 2, 2019

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. …

Posted in Blog, News, Papers, Products

Congratulations to Skunkworks Leader Wei Li for New Paper on Machine Vision for Defect Detection

Posted on July 24, 2018

Congratulations to Wei Li for his new publication in npj Computational Materials. He and his collaborators trained computers to quickly and consistently detect and analyze microscopic radiation damage to materials under consideration for nuclear reactors. …

Posted in Blog, News, Papers, Uncategorized

New paper from Informatics Skunkworks

Posted on April 7, 2017

The Informatics Skunkworks has published its first peer-reviewed scientific paper here. Congratulations to all who helped make this happen.  A special thanks to Bryce Meredig of Citrine, LLC for his contributions. Full citation: H. Wu, …

Posted in Blog, News, Papers, Products

Recent Posts

  • Wrapping up Spring 2025 the All-Hands Meeting December April 25! April 16, 2025
  • Skunkworks Team Publishes Their Work on ML Model Uncertainties! November 20, 2024
  • Close out the Fall Semester at the All-Hands Meeting December 6th! November 7, 2024
  • Skunkworkers Publish Their Results in a New Paper! June 26, 2024
  • All-Hands Meeting – Friday May 3rd! April 10, 2024

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