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The Iowa State University Startup Factory today announced that cohort eight team member TdVib, LLC has been awarded a U.S. Department of Energy (DOE) Phase I Small Business Technology Transfer (STTR) grant for $200,000 from the Office of Energy Efficiency and Renewable Energy (EERE) to conduct research and development (R&D) work on an innovative recycling method to reclaim rare earth metals from electronic waste.
Dilpuneet Singh Aidhy is studying high entropy alloys that are potential materials for large structural applications, while Jifa Tian is researching a solution to create materials and understand the fundamental physics for future quantum computers that can process problems classic computers cannot.
Manager, Materials Preparation Center, Division of Materials Science and Engineering
Theresa Windus, the Interim Director of Chemical and Biological Sciences at Ames Laboratory and Distinguished Professor of Chemistry and Liberal Arts and Sciences Dean’s Professor at Iowa State University, has been named a Fellow of the American Chemical Society (ACS).
Insider - July 2020
Ames Laboratory will be hosting an All Hands COVID Resources Panel Discussion on Aug. 12 to
highlight resources the University and Laboratory offer in response to the pandemic.
highlight resources the University and Laboratory offer in response to the pandemic.
Work proceeds on innovative approach to coronavirus testing at Iowa State
A Forbes article looks at the Department of Energy's leadership role in developing artificial intelligence.
Magnetically aligned electrodes predicted to increase lithium-ion battery capacity by as much as 25%
CMI research at Ames Laboratory developed a coupled electrochemical-thermal-mechanical model to predict the electrochemical degradation and performance of magnetically aligned electrodes in lithium-ion batteries for fast-charging applications
CMI research conducted at Ames Laboratory developed a finite-element (FE) model for a SmCo5 magnet matrix with Sm2O3 impurities. The results accurately predict the stress distribution from a three-point bend analysis to identify domains of stress concentration and failure.