Department of Energy announces $10 million in new algorithms to understand complex energy systems and processes
News — WASHINGTON, DC. – Today the US Department of Energy (DOE) announced $10 million for basic research in the design, development and scalability of random algorithms for scientific computing.
“Random algorithms accelerate the time to solve a wide range of challenges in discovery science,” said Barbara Helland, DOE Associate Director of Science for Advanced Scientific Computing Research. “Innovative approaches are needed to advance how we analyze the massive amounts of data generated by experiments and understand complex infrastructures and processes across energy networks, biological systems, and other networks.”
Projects supported by this funding opportunity will allow researchers to investigate the novel use of randomness in internal algorithmic decisions to speed up time to solution, increase the size of solvable problems, or improve the reliability of predictions.
Three-year multi-institutional team proposals are open to universities and colleges, nonprofit organizations, for-profit organizations, DOE/NNSA laboratories, and other federal agencies. Applicants are encouraged to implement the DOE Diversity, Equity and Inclusion Guidelines. Total planned funding is up to $10 million, with up to $4 million in dollars for fiscal year 2022 and additional year funding dependent on congressional appropriations.