AEM: Molecular-Based Battery Electrolyte Optimization and Analysis

The Advanced Electrolyte Model (AEM) is a molecular-based computer simulation program created by Dr. Kevin Gering, a Distinguished Staff Scientist at Idaho National Laboratory. It offers comprehensive and accurate theoretical relationships for the properties of complex electrolyte formulations and their influence on battery performance. Battery researchers use AEM to optimize battery electrolyte chemistries quickly and reduce energy storage costs worldwide. By lowering the cost of batteries, global dependence on fossil fuels can be reduced, and electric vehicle adoption and grid-scale battery system deployment can be accelerated. AEM can determine over 100 property metrics with each run, making it a virtual laboratory for genome-level electrolyte properties. It offers millions of combinations of over 50 solvents (and growing) and over 30 salts, allowing users to match their particular needs with a plausible set of candidates while balancing consequences for different choices of electrolytes. Over 20 reports are generated with each AEM run, covering properties that span transport, thermodynamic, physical, thermophysical, kinetic, molecular, and macroscale metrics.

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