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.

Pacific Northwest National Laboratory (PNNL) is committed to helping unleash U.S. global dominance in AI by improving the energy performance of the nation’s data centers.

CINEMa at PNNL empowers collaborative and multidisciplinary materials research to accelerate deployment of advanced nuclear energy systems.

PNNL’s pioneering CETC project with regional universities demonstrates transactive controls among multiple commercial buildings and devices for energy efficiency and grid reliability.

Pacific Northwest National Laboratory, supported by the Department of Energy’s Grid Deployment Office, is leading a technical assistance initiative to help utilities test and deploy alternate GPS timing solutions.

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.

PNNL is working on behalf of the U.S. Department of Energy to create a prototype system that enables homes to help provide services to the power grid while delivering economic benefits to residents.