Berkeley Labs CAMERA Enhances DOEs Scientific Facilities with New Math and Software Innovations
Summary
CAMERA’s M-TIP allows researchers to use advanced mathematical techniques to determine 3D molecular structures from very sparse sets of noisy, single-particle data. “By building interdisciplinary teams including both mathematicians and experimentalists, CAMERA is able to target the development of new math and algorithms to overcome these vast experimental data analysis challenges.” With this new round of support, CAMERA will build on its legacy of work and continue expanding on mathematical methods for autonomous experiments driven by integrated advanced reconstruction algorithms, edge mathematics for real-time analysis, and machine learning/artificial intelligence for choosing optimal experimental parameters. For example, CAMERA is poised to provide critical mathematics for DOE’s Integrated Research Infrastructure program, which will create a seamless ecosystem for scientific research by physically connecting these state-of-the-art experimental facilities with cutting-edge high performance computers via a high-speed science network to provide a dynamic and scalable data management infrastructure to tackle the deluge of data that these upgraded experiments will produce. Founded in 1931 on the belief that the biggest scientific challenges are best addressed by teams, Lawrence Berkeley National Laboratory and its scientists have been recognized with 16 Nobel Prizes. Today, Berkeley Lab researchers develop sustainable energy and environmental solutions, create useful new materials, advance the frontiers of computing, and probe the mysteries of life, matter, and the universe.