Dane Morgan is featured in a June 2016, College of Engineering story about Informatics Skunkworks.
University of Wisconsin—Madison engineers recently used powerful computers to quickly and accurately develop the world’s largest computed database of information about an important materials-mixing process called diffusion.
Led by Dane Morgan, Harvey D. Spangler Professor in Materials Science and Engineering at UW–Madison, the researchers published details of their advance July 19 in the journal Scientific Data. They also made the entire database freely available online, along with an online application to easily search and visualize the data and a utility called the Materials Simulation Toolkit (MAST) for engineers across the globe to access and use in their own materials design applications.
Rob Nowak and the beer mapper app he developed are highlighted in a recent Capital Times front page feature.
Dane Morgan teams with John Booske to identify a promising candidate compound that could be used in next-generation vacuum electronic devices.
Full story by Sam Million-Weaver.
Discovery Fellows Rebecca Willett and Rob Nowak are creating algorithms to make sense of big data and help machines learn. Full story at wid.wisc.edu.
“The computer models Nowak and his team are developing are called adaptive crowdsourcing algorithms. They attempt to weed out the weakest captions as quickly as possible to get more people to vote on the potential winners.”
Stephen J. Wright, George B. Dantzig Professor of Computer Sciences, works on theory and applications of mathematical optimization, a field that concerns itself with techniques for finding the best element (as measured by a mathematical function) from a large or infinite set of possible alternatives. Wright has served as chair of the Mathematical Optimization Society and three terms as a trustee of the Society for Industrial and Applied Mathematics. – See full article by Chris Barncard
Jordan Ellenberg is the recipient of the 2016 Euler Book Prize for an outstanding book in mathematics.
The New Yorker is using a machine learning system developed by WID Optimization researchers to sort through captions for their weekly cartoon caption contest. See full story on wid.wisc.edu.