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The opinions, findings, and conclusions or recommendations expressed are those of the Center author(s) and do not necessarily reflect the views of the National Science Foundation.

Center Overview

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 does this by advancing critical solid-state energy systems research.

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.


  • Syracuse University
  • Northeastern University
  • South Dakota School of Mines and Technology
View Center Website

Center Personnel

Dr. Duane Abata
Site Director at SD Mines
+1 605 431 5996

Dr. Sanjeev Mukerjee
Site Director at NU
+1 646 515 5305

Dr. Quinn Qiao
Site Director at SU
+1 605 688 6965

Dr. Alevtina Alla) White Smirnova
Center Director
+1 860 428 0446

Research Focus

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, and mass/ionic transport mechanisms at interfaces within electrode nanocomposites by in-situ/operando integrated with atomic-level modeling.

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.