Factorial has launched Gammatron™, a proprietary AI-powered simulation platform designed to accelerate the research and development of next-generation batteries. The platform leverages artificial intelligence, advanced modeling, and high-fidelity lab data to enhance the prediction, validation, and optimization of battery performance at both the material and system levels.
“Validating a new cell design can take years,” said Siyu Huang, CEO of Factorial. “With Gammatron™, we’ve demonstrated that we can dramatically shorten that timeline—forecasting long-term performance from just two weeks of early testing, instead of the typical three to six months.” Born from Factorial’s internal R&D needs, the tool aims to address long-standing bottlenecks in battery development by simulating complex interactions between electrochemistry, thermodynamics, and materials science.
Key features of Gammatron™ include a digital twin model that enables real-time predictions of battery health and optimization of fast charging protocols. The platform also uses molecular modeling to fine-tune electrolyte formulations for targeted performance goals and incorporates advanced physics-based models to simulate stress, heat, and degradation—factors often invisible in real-world tests. Factorial reported that Gammatron™ has already demonstrated success in its joint development program with Stellantis, helping accelerate testing and, in some cases, doubling cycle life without altering cell chemistry.
“Batteries are complex dynamic chemical systems,” said Raimund Koerver, VP of Business Development. “Gammatron™ combines machine learning with scientific feature engineering. It doesn’t just predict outcomes—it helps us design better ones.” Initially offered as an in-house tech-enabled service for select partners, the platform is compatible with both solid-state and conventional lithium-ion battery development.