Summary: The Supersized Science podcast features research and discoveries nationwide enabled by advanced computing technology and expertise at the Texas Advanced Computing Center of the University of Texas at Austin. Jorge Salazar, a science writer at TACC, hosts the podcast. When is something more than just the sum of its parts? Metal alloys show such synergy. The alloy steel, for instance revolutionized industry by taking iron, adding a little carbon and making an alloy much stronger than either of its components. Supercomputer simulations are helping scientists discover new types of alloys, called high-entropy alloys. Researchers have used the Stampede2 supercomputer of the Texas Advanced Computing Center allocated by XSEDE, the NSF-funded Extreme Science and Engineering Discovery Environment. The research was published April 2022 in Npj Computational Materials. The approach taken by the scientists could be applied to finding new materials for batteries, catalysts and more without the need for expensive metals such as platinum or cobalt. On the podcast to speak more about his study is Wei Chen, associate professor of materials science and engineering at the Illinois Institute of Technology. Supersized Science is part of the Texas Podcast Network – the conversations changing the world – brought to you by The University of Texas at Austin. The opinions expressed in this podcast represent the views of the hosts, and not of The University of Texas at Austin. Story Link: www.tacc.utexas.edu/-/deep-learning-for-new-alloys Music Credit: Raro Bueno, Chuzausen freemusicarchive.org/music/Chuzausen/
