Accelerate Battery Innovation with AEM™

Developed in partnership with Idaho National Laboratory (INL), this innovative technology enables rapid screening and optimization of electrolyte formulations—cutting lab testing time, reducing costs, and enhancing battery aging models with scientifically grounded insights

The Advanced Electrolyte Model (AEM) is a powerful molecular simulation tool developed by Dr. Kevin Gering at Idaho National Laboratory (INL) and exclusively offered by Ridgetop Group. AEM functions as a virtual laboratory, allowing researchers to predict and analyze the behavior of battery electrolytes at the molecular level—producing over 100 key property metrics in a single simulation run.

With a built-in database of over 60 solvents and 40+ salts, AEM supports complex formulations, including multi-solvent and dual-salt systems. This enables rapid screening of new electrolyte combinations tailored for electric vehicles, grid-scale storage, and next-generation battery chemistries.

AEM is built on a rigorous scientific framework known as the Nonprimitive, Nonrestricted Associated Mean Spherical Approximation (NPNRAMSA)—a statistical thermodynamics model used to represent ion–solvent interactions and molecular structures more accurately than traditional methods. This is further enhanced by an ion-solvation equation of state (IS-EOS) to improve the precision of transport and thermodynamic predictions.

Extensively validated across hundreds of unique conditions, AEM consistently achieves 5–10% deviation or better compared to laboratory data. It dramatically reduces time and cost in battery R&D by eliminating trial-and-error lab work, while accelerating innovation with high-confidence predictions.

AEM is more than a scientific tool—it’s a catalyst for clean energy progress. By enabling smarter electrolyte design, AEM supports faster electric vehicle development, improved battery performance, and a more sustainable energy future.

Key Features & Benefits

  • Genome-Level Electrolyte Insights
    Analyze over 100 properties per simulation: conductivity, desolvation energy, diffusivity, and more.
  • Multi-Solvent & Multi-Salt Capabilities
    Accurately model systems with up to five solvents and two salts.
  • Comprehensive Component Database
    Access 60+ solvents and 40+ salts with frequent updates.
  • Performance Optimization
    Resolve double-layer behavior, assess lithium desolvation, and study field effects at the Solid Electrolyte Interface (SEI).
  • Scientific Accuracy
    Most system predictions show <5–10% deviation from experimental data.
  • Usability
    Intuitive graphical user interface (GUI) for setup, visualization, and reporting.
  • Fast Results
    Avoid costly and time-intensive lab testing with high-speed virtual experimentation.

AEM Product Introduction

AEM™ Applications

Electric Vehicle Battery R&D

Optimize electrolyte formulations for fast-charging, long-life batteries.

Grid Energy Storage

Improve the efficiency of large-scale battery systems.​

New Chemistry Development ​

Optimize electrolyte formulations for fast-charging, long-life batteries.​

Cost Modeling

Evaluate scaling implications for commercial electrolyte production.

Regulatory Readiness

Design electrolytes to meet performance and safety standards globally.

The Advanced Electrolyte Model (AEM) developed by Dr. Kevin Gering at Idaho National Laboratory (INL) and exclusively available through Ridgetop Group, is an innovative molecular simulation tool that revolutionizes electrolyte chemistry optimization. With over 100 property metrics generated in each run, it effectively acts as a virtual laboratory for exploring genome-level electrolyte properties. AEM’s extensive database encompasses more than 50 solvents and 30 salts, offering users a wealth of options while considering the consequences of their selections. Its scientific foundation is grounded in the Nonprimitive, Nonrestricted Associated form of the Mean Spherical Approximation (NPNRAMSA), further enhanced by an ion-solvation equation of state (IS-EOS) for precision in predictions. Predictions for many systems have average percent deviations with lab data that fall within 5-10%, with many conditions below 5% deviation. The model has been validated with scores of electrolyte systems over hundreds of unique conditions. Yet, AEM is more than a scientific tool; it is a catalyst for global change. By enabling a shift away from fossil fuels, it accelerates the adoption of electric vehicles and the deployment of grid-scale battery systems. In essence, AEM not only advances battery research but also propels us toward a cleaner and more sustainable energy future, making energy storage more efficient and cost-effective on a global scale. AEM is the engine driving the clean energy revolution, empowering the global battery R&D community with an evolving set of tools that help to shape a brighter, greener future, one optimized electrolyte at a time. AEM is an innovative beacon, leading us toward a cleaner and more efficient energy future, revolutionizing how we power our world!

About Idaho National Laboratory

As one of 17 national labs in the U.S. Department of Energy complex, Idaho National Laboratory (INL) is home to more than 5,700 researchers and support staff focused on innovations in nuclear research, renewable energy systems, and security solutions that are changing the world. From discoveries in advanced nuclear energy to carbon-free energy options and to protecting our nation’s most critical infrastructure assets, the talented team at INL is constantly pushing the limits to redefine what’s possible. To find out more information about INL visit their website at www.inl.gov.

AEM Applications

Technology Benefits

  • Accelerates battery development by quickly screening a wide array of materials for key properties, reducing time-to-market for new battery designs
  • Provides a significant cost advantage compared to expensive empirical data collection techniques, reducing laboratory expenses for labor, analysis, and material requisition and disposal
  • Saves users significant time and resources, potentially translating to hundreds of thousands or even millions of dollars
  • Explores and reports with certainty and clarity on molecular-to-macroscale level aspects of electrolyte behavior, removing the guesswork in electrolyte qualification for specific applications

Ready to optimize your electrolyte formulations?

Contact us today to start the conversation.

Contact Ridgetop Group

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