The Battery Manufacturing Accelerator is a national collaboration among U.S. national laboratories, academic partners, and industry stakeholders to bridge the gap between lab-scale energy storage innovations and real-world manufacturing.
PNNL is heavily engaged in the development and use of mass spectrometry technology across its science, energy, and security missions, from fundamental research through mature operational capabilities.
Physics-informed machine learning (PIML) is a modeling approach that harnesses the power of machine learning and big data to improve the understanding of coupled, dynamic systems.