DOE OSTI · 2426925
Rapid Assessment and Optimization of SOC Electrodes from Low Resolution Data Using Machine Learning and Computer Vision
Abstract
Presentation regarding the rapid assessment and optimization of SOC electrodes from low-resolution data using machine learning and computer vision, using training data generated by NETL's Joule supercomputer and high-performance models.
Keep this discovery
Explore connections, maps & timelines
Epting, William, Lei, Yinkai, Abernathy, Harry. 2024-05-01. Rapid Assessment and Optimization of SOC Electrodes from Low Resolution Data Using Machine Learning and Computer Vision. https://doi.org/10.2172/2426925
Cite the original work for its findings. Save a collection to share your selection of sources.