Gammatron enhances cycle life prediction, charging protocols, and electrolyte discovery across battery chemistries.
Factorial Inc. has launched Gammatron, an AI-based simulation platform developed to support the prediction, validation, and optimization of battery performance for next-generation battery development.
Developed from Factorial’s R&D work, Gammatron was created to address delays in battery development. It combines electrochemistry, thermodynamics, and lab data to simulate and optimize battery behavior at both the material and cell-system levels, unlike traditional AI platforms that focus mainly on system-level modeling.
Key capabilities of Gammatron include:
- AI-driven digital twin for battery cells that accurately delivers cell state of health predictions, and accelerates fast charging optimization that maximizes capacity, minimizes degradation and internal stress, while ensuring battery safety and longevity.
- Accelerating electrolyte formulation using molecular modeling and machine learning to engineer compositions for specific performance targets based on a deep understanding of molecular interactions.
- Advanced physics-based modeling to simulate internal battery behavior, including stress, heat, and degradation, that can’t be directly observed in testing.
Used in Factorial’s joint development with Stellantis, Gammatron was applied to forecast battery performance before completing full testing, helping to accelerate the validation program. In some instances, protocol adjustments informed by Gammatron extended cycle life without changes to cell chemistry.
Designed to support Factorial’s work on next-generation battery cells, this technology helps streamline customer qualification, improve cell performance, and support internal development. It integrates functions like material screening, digital twins of battery cells, and traceability in manufacturing to facilitate more efficient, data-informed development across the battery lifecycle.
Initially launching as a tech-enabled service, Gammatron will be operated in-house for co-development with select partners. The platform is available for solid-state battery development and legacy lithium-ion programs.
For more information, visit factorialenergy.com.
