The Department of Energy supports a spectrum of experimental science, aimed at providing the fundamental advances needed to meet the nation's energy, environmental, and national security challenges. Applied mathematics can play a pivotal role in these investigations. Sophisticated, state-of-the-art mathematics can transform experimental science and further discovery.     


Fundamental computational methods are needed to extract information from murky data, interpret experimental results, and provide on-demand analysis as information is being generated. Advanced algorithms can examine candidate materials that are too expensive and time-consuming to manufacture, rapidly find optimal solutions to energy-related challenges, and suggest new experiments for discovery science.


New and clever mathematicsprovide tools that can, for example, reconstruct structure and properties from synchrotron light sources, predict behavior of new materials at the nanoscale, direct the hunt for new materials for batteries and gas separation, and optimize steps in the production of biofuels.      


The necessary research cuts across traditional boundaries. Building this new mathematics requires a close collaboration between applied mathematicians and scientists. These teams can lay groundwork so that research is aimed at relevant scientific problems which can enhance current experiment. Models need to be formulated, equations need to be derived, and new algorithms need to be proposed.



CAMERA capitalizes on coordinated teams of applied mathematicians, computer scientists, beam line scientists, materials scientists, and computational chemists. Our work accelerates scientific discovery by transferring, developing and applying new mathematical ideas in a wide variety of fields. We actively partner with DOE funded resources at Brookhaven National Lab, SLAC National Accelerator Laboratory, Berkeley National Lab and Argonne National Laboratory, as well as DOE's Molecular Foundry, Brookhaven's Center for Functional Nanomaterials, the National Institute for Standards and Technology (NIST), and a host of other labs, universities, and industries.

CAMERA jump-starts the transition from research to reality

CAMERA: Providing a broader view

Brand-new, state-of-the-art mathematics can be directly applied to challenging scientific problems stemming from experimental research. Traditionally, it takes considerable time for these new ideas to leap to user communities. By bringing mathematicians and experimentalists together, CAMERA jump-starts this process, and accelerates the early adoption of new mathematics. 

Existing computational techniques are often tailored to specific needs. In some cases, these approaches may have reached their limit, and cannot easily be extended to complex problems with different requirements. CAMERA provides a new perspective, leading to  new, more general models and algorithms which are creating tomorrow's algorithms today.