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Factorial Inc., a prominent name in solid-state battery technology, has officially launched Gammatron™, a proprietary, AI-powered simulation platform. This advanced system is engineered to significantly accelerate the development of next-generation batteries by revolutionizing how their performance is predicted, validated, and optimized.
Key Highlights
- Factorial has introduced Gammatron™, an AI-driven simulation platform created to break through traditional R&D bottlenecks in battery development.
- The system creates an AI-driven digital twin of battery cells, delivering precise predictions on cell health and optimizing charging protocols for safety and longevity.
- Gammatron™ has been shown to dramatically reduce validation timelines, forecasting long-term performance from just two weeks of early testing, a significant reduction from the typical three to six months.
- By enabling advanced protocol tuning, the platform has successfully doubled the cycle life of certain cells without altering their fundamental chemistry.
- The platform is now available as a tech-enabled service for co-development projects with select partners, supporting both solid-state and legacy lithium-ion programs.
Addressing Critical Delays in Innovation
Developed internally out of necessity, Gammatron™ was built to resolve critical delays that commonly hinder the battery development process. Unlike conventional AI platforms that concentrate on system-level modeling, Gammatron™ integrates electrochemistry, thermodynamics, and precise lab data. This allows it to simulate and refine battery behavior at both the material and cell-system levels, providing a more comprehensive approach to innovation.
“Validating a new cell design can take years, but with Gammatron™, we’ve demonstrated that we can dramatically shorten that timeline,” stated Siyu Huang, CEO of Factorial. “By combining automation with data-driven insights, we’re accelerating development with greater speed and control.”
Core Capabilities and Advanced Modeling
Gammatron™ offers a suite of powerful tools designed to enhance every stage of the battery lifecycle. Its core functions include:
- AI-Driven Digital Twin: This feature provides accurate predictions of a battery cell’s state of health. It also accelerates the optimization of fast-charging protocols to maximize capacity and minimize degradation while ensuring safety and longevity.
- Accelerated Electrolyte Formulation: Leveraging molecular modeling and machine learning, the platform can engineer electrolyte compositions tailored to specific performance targets.
- Advanced Physics-Based Modeling: Gammatron™ can simulate internal battery behaviors, such as stress, heat, and degradation, which are impossible to observe directly during standard testing.
Proven Results and Future Availability
The platform has already demonstrated its value in practical applications. During a joint development project with Stellantis, Gammatron™ helped forecast battery performance well ahead of the scheduled testing completion, advancing the validation program.
“It’s not just about predicting outcomes – it’s about enabling better ones,” said Raimund Koerver, VP of Business Development at Factorial. He explained that Gammatron™ goes beyond surface-level machine learning to show engineers exactly which material and design modifications will unlock longer life and higher performance.
Initially, Gammatron™ will be operated in-house as a tech-enabled service for co-development with key partners. The platform will be showcased at the upcoming MOVE London conference.
About Factorial Inc.
Headquartered in the United States, Factorial is at the forefront of solid-state battery innovation. The company’s proprietary FEST® (Factorial Electrolyte System Technology) and Solstice™ platforms provide solutions with greater energy density and enhanced safety that are compatible with existing battery manufacturing systems. Factorial maintains commercial partnerships with global automotive leaders, including Mercedes-Benz, Stellantis, Hyundai Motor Company, and Kia Corporation. For more information, visit www.factorialenergy.com.
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