Department of Energy Announces up to $500 Million for Basic Research to Advance the Frontiers of Science

The U.S. Department of Energy (DOE) today announced up to $500 million in funding for basic research in support of DOE’s clean energy, economic, and national security goals.

Department of Energy Announces $30 Million for Research to Accelerate Scientific Advances at User Facilities

Today, the U.S. Department of Energy (DOE) announced $30 million in funding for three projects to increase scientific productivity and discoveries across DOE light source, neutron source, and high-performance computing and networking facilities.

Department of Energy Announces $24 Million for Research on Quantum Networks

Today, the U.S. Department of Energy (DOE) announced $24 million in funding for three collaborative projects in quantum network research.

U.S. Department of Energy Announces $68 Million For Small Businesses Developing Technologies to Cut Emissions and Study Climate

The U.S. Department of Energy (DOE) today announced awards totaling more than $68 million that will go to 53 small businesses that are solving scientific problems. Projects include developing tools for climate research and advanced materials and technologies for clean energy conversion. Understanding the climate and the ability to convert and store energy are instrumental to meeting President Biden’s goal of a completely clean electrical grid by 2035 and net-zero greenhouse-gas emissions by 2050.

Department of Energy Announces $8.5 Million in High-Performance Algorithms for Complex Energy Systems and Processes

Today, the U.S. Department of Energy (DOE) announced $8.5 million in funding for basic research in the development of randomized algorithms for understanding and improving the properties and behavior of complex energy systems. Problems involving the design of scientific experiments or energy and communication infrastructures can often be viewed as a discrete, networked system of systems that needs to be optimized. Such discrete optimization problems cannot be efficiently solved with conventional algorithms that are not well-suited for graphs, networks, and streaming data.