Wednesday, April 23, 2014 — NC State today was awarded a five-year, $25 million grant by the National Nuclear Security Administration’s (NNSA) Office of Defense Nuclear Nonproliferation Research and Development to develop the next generation of leaders with practical experience in technical fields relevant to nuclear nonproliferation. NC State was selected by NNSA over 22 other proposals following a competitive process that began in May 2013.
The vision of the new Consortium for Nonproliferation Enabling Capabilities, or CNEC, is to be the pre-eminent research and education hub dedicated to the development of enabling technologies and technical talent for meeting the grand challenges of nuclear nonproliferation in the next decade.
“For NC State to be selected to lead this vital national effort is a testament to our great faculty and strong leadership in nuclear engineering,” said NC State Chancellor Randy Woodson.
“NC State is increasingly recognized as the university of choice for government and industry partners who want to collaborate with world-leading faculty and students to solve some of our nation’s biggest challenges.”
Today’s announcement follows NC State’s selection by the Department of Energy in January to lead a $140 million manufacturing innovation institute to develop next-generation power electronics. In August 2013, NC State was chosen by the National Security Agency to create the $60 million Laboratory for Analytic Sciences to advance the science of big data.
The NC State-led CNEC will implement educational activities with the goal to develop a pool of future nuclear non-proliferation and other nuclear security professionals and researchers. In addition, the consortium will provide the U.S. government with cutting-edge research and development to identify and address multidisciplinary and cross-functional technology and research needs that are critical to detecting foreign nuclear weapon proliferation activities.
Specifically, the research projects pursued by the consortium will include technologies to enhance simulation capabilities, algorithms and modeling; new test and evaluation models for detection sensors; new remote-sensing capabilities; and applications of data analytics and data fusion to better characterize and detect special nuclear materials.