Simplifying Electrolyte Selection
2014 R&D 100 Winner
Mapping of the human genome has advanced our understanding of life, health and potential cures for diseases. Many technologies could benefit from genome-level investigations. Now, a disruptive virtual scientific simulation tool that delivers a genome-level investigation for electrolytes is available. Idaho National Laboratory’s Kevin Gering has developed the Advanced Electrolyte Model (AEM), a molecular-based, scientifically proven simulation tool.
AEM transforms electrolyte selection, optimizing material combinations and key design elements to make battery design and experimentation quick, accurate and responsive to specific needs. AEM predicts and catalogs electrolyte metrics, evaluation and comparing more than 35 parameters to recommend optimal solutions. When used as a scientific tool for battery developers, AEM explores and reports with certainty and clarity on molecular-to-macroscale level aspects of electrolyte behavior, removing the guesswork about qualification of an electrolyte for specific applications.
As proved in support of The Dow Chemical Company’s effort to develop a new battery electrolyte, AEM reduces lab work and permits rapid exploration of electrolytic configurations. AEM has also supported work in the U.S. Dept. of Energy’s Computer Aided Engineering of Batteries program and Argonne National Laboratory’s lithium-ion investigations.
Simulation software tool
Idaho National Laboratory
|Idaho National Laboratory's Advanced Electrolyte Model (AEM) development team: Kevin Gering.|
The Advanced Electrolyte Model (AEM) Development Team from Idaho National Laboratory
Kevin Gering, Principal Developer