The Center for Solid-State Electric Power Storage (CEPS) helps industries, government, and national laboratories meet the great challenge of safe, efficient, and eco-friendly energy storage. Its mission is to become a center of excellence in developing such energy storage technology for portable and medical applications, the automotive industry, centralized and decentralized electric grids, military applications, and energy security. CEPS achieves this by advancing critical solid-state energy systems research and battery supply chain challenges.
Driven by the growing demand for electricity in the transition to a green energy economy, CEPS technologies will provide substantial benefits to industrial partners and others by leveraging research dollars, networking, and training. CEPS will expand education, training, and workforce development opportunities for a diversity of students, including women, minorities, and Native Americans.
Dr. Sanjeev Mukerjee
Site Director at Northeastern University
+1 646 515 5305
Dr. Quinn Qiao firstname.lastname@example.org
Site Director at Syracuse University
+1 605 688 6965
Dr. Alla White Smirnova
Center Director (South Dakota Mines)
+1 860 428 0446
Dr. Serge Pann
Managing Center Director
+1 617 373 8949
CEPS focuses on the next generation of energy storage: solid-state batteries that are safe, efficient, fast-charging, and cost-effective.
CEPS’ main research areas include solid-state and polymer electrolytes, protective coatings on lithium-metal anodes, innovative cathode materials, and mass/ionic transport mechanisms at interfaces within electrode nanocomposites by in-situ/operando integrated with atomic-level modeling. Furthermore, CEPS is working towards expansion of the solid-state battery supply chain capabilities in the U.S., specifically battery recycling and eco-friendly lithium extraction technologies from natural mineral deposits.
Goals related to large-scale battery manufacturing include development of 3D printing and supersonic cold-spray deposition technologies. Combining power systems modeling with artificial intelligence will accelerate the translation of novel battery materials and designs from the lab environment to the market.