Uploaded May 2026 | Updated September 2026, 1 week ago
What if battery systems could predict their own long-term performance years in advance?🔋
Oak Ridge National Laboratory researcher Srikanth Allu explains how a new foundational model is helping scientists better understand how large-scale lithium-ion battery systems age and degrade over time.
Unlike traditional approaches focused on individual battery cells, this AI-enabled model captures how entire battery systems interact at grid scale, helping improve reliability, reduce costs, and support longer-lasting energy storage deployments.⚡
The work aligns with DOE’s Genesis Mission by combining AI, simulation, operational data, and advanced computing to accelerate scientific discovery and energy innovation.
đź”— bit.ly/4fnR42i
#GenesisMission #BigScience
ORNL is using #BigScience to make a big impact. Learn more: ornl.gov/bigscience
What if battery systems could predict their own long-term performance years in advance?🔋
Oak Ridge National Laboratory researcher Srikanth Allu explains how a new foundational model is helping scientists better understand how large-scale lithium-ion battery systems age and degrade over time.
Unlike traditional approaches focused on individual battery cells, this AI-enabled model captures how entire battery systems interact at grid scale, helping improve reliability, reduce costs, and support longer-lasting energy storage deployments.⚡
The work aligns with DOE’s Genesis Mission by combining AI, simulation, operational data, and advanced computing to accelerate scientific discovery and energy innovation.
đź”— bit.ly/4fnR42i
#GenesisMission #BigScience
ORNL is using #BigScience to make a big impact. Learn more: ornl.gov/bigscience
