Heng Ban, Jung-Kun Lee, and Kevin Chen awarded DOE grants in nuclear energy research

  • By Jenny Stein
  • 18 September 2019

The Stephen R. Tritch Nuclear Engineering program at the University of Pittsburgh’s Swanson School of Engineering has received three substantial grants from the U.S. Department of Energy’s (DOE) Nuclear Energy University Program (NEUP) totaling $2.3 million. PQI faculty members Dr. Heng Ban, Dr. Jung-Kun Lee, and Dr. Kevin Chen are among the recipients.

The awards are three of the 40 grants in 23 states issued by the DOE, which awarded more than $28.5 million to research programs through the NEUP this year to maintain the U.S.’s leadership in nuclear research. 

“Nuclear energy research is a vital and growing source of clean energy in the U.S., and we are at the forefront of this exciting field,” says Heng Ban, PhD, R.K. Mellon Professor in Energy and director of the Stephen R. Tritch Nuclear Engineering Program at the Swanson School of Engineering. “These grants will enable us to collaborate with leading international experts, conducting research that will help shape future of nuclear energy.” 


Research at the Frontiers of X-Ray Free Electron Laser Ultrafast Chemical and Materials Sciences

  • By Burcu Ozden
  • 17 April 2018

The Office of Basic Energy Sciences (BES), U.S. Department of Energy (DOE), announces its interest in receiving applications from small groups of investigators for support of experimental and theoretical efforts to advance ultrafast chemical and materials sciences that utilize x-ray free electron lasers

Quantum Computing in Chemical and Materials Sciences

  • By Burcu Ozden
  • 13 April 2018

Proposals are requested for basic experimental and theoretical research focused on using quantum computers to solve scientific problems in chemical and materials sciences. Proposals should address the Priority Research Opportunities identified in the report from the “Basic Energy Sciences Roundtable on Opportunities for Quantum Computing in Chemical and Materials Sciences.” Areas of research include: controlling the quantum dynamics of nonequilibrium chemical and materials systems; unraveling the physics and chemistry of strongly correlated electron systems; embedding quantum hardware in classical frameworks; and bridging the classical–quantum computing divide. Proposals must focus on fundamental research that will target computations on realistic problems relevant to Basic Energy Sciences priorities using quantum computers that are available today and in the near (<10 year) term. For example, quantum materials, such as superconductors and complex magnetic materials, show novel kinds of ordered phases that are difficult to access via computation on classical computers. Quantum sensors based on solid materials could be greatly improved with insight from quantum computations, as could materials for information technologies. Another example is quantum chemical dynamics, which is a problem that is intrinsically well suited to studies on quantum computers, with applications including catalysis and artificial photosynthesis. Proposals that focus solely on algorithmic advances, software tools, or on engineering and/or building quantum computers will not be responsive.


Request for Information: Impacts From and to Quantum Information Science in High Energy Physics

  • By Burcu Ozden
  • 24 January 2018

The Department of Energy is seeking input on how quantum information science could address the needs of high-energy physicists and vice versa. DOE would like specific information on “organizational and assessment considerations.” Submissions are due by February 12, 2018.

Interested persons may submit comments by email only. Comments must be sent to with the subject line “Quantum Information Science and HEP RFI”. Any attachments must be in one of the following formats: ASCII; Word; RTF; or PDF.

Deadline: February 12, 2018.

CY2017 Innovative and Novel Computational Impact on Theory and Experiment (INCITE) Program

  • By Aude Marjolin
  • 31 May 2016

INCITE issues an annual call for proposals of high-impact, computationally intensive research campaigns in a broad array of science, engineering, and computer science domains. Individuals and teams of researchers from academia, national laboratories, and industry are eligible to apply, and awards of one, two, or three years are granted.