The Advanced Electrolyte Model analyzes and identifies potential electrolytes for battery systems. It offers significant resource savings by optimizing material combinations for new batteries. AEM predicts and reports key properties underlying electrolyte behavior in the electrochemical cell environment.
The Multiphysics Object Oriented Simulation Environment (MOOSE) makes it easier for scientists to predict phenomena ranging from nuclear fuel and reactor performance to groundwater and chemical movement. Such simulations can help speed the pace of scientific discovery but traditionally required more computing resources than most scientists and engineers could readily access. Here is a YouTube video explaining it:
INL nominated three technologies for the 2014 R&D 100 Award competition and now has earned a total of 50 R&D 100 Awards since 1986.
The banquet and awards presentation, honoring the 2014 winners will take place Nov. 7 at the Bellagio Hotel in Las Vegas.