This year, Berkeley Lab will be hosting eight Department of Energy Computational Science Graduate Fellows (CSGF). These represent some of the nation’s brightest graduate students in computational science, each pursing a doctoral degree in a field that uses high performance computing to solve complex science and engineering problems. » Read More
Science Search, a web-based search engine for scientific data is currently being developed by a team of researchers in Berkeley Lab's CRD and NERSC. The team is also developing innovative machine learning tools to automatically generate missing metadata tags for each file. » Read More
The idea of real-time ptychographic data streaming in a production environment began nearly a decade ago as a Berkeley Lab LDRD proposal—now it's a reality. And, the capability is already changing the way scientists run experiments at the Advanced Light Source. » Read More
An new algorithmic model developed by an international team of researchers, including Berkeley Lab scientists from CRD and CAMERA, enhances SHARP's ptychographic image reconstruction capabilities. Ptychographic x-ray imaging is primarily used to characterize the structure and properties of matter and materials. » Read More
Sixteen women from various Berkeley Lab areas will be honored at the “Women @ The Lab” awards ceremony today at 3 p.m. in the Building 50 auditorium. CRD’s Ann Almgren and Daniela Ushizima will be among the honorees.
This year, Berkeley Lab will be hosting eight Computational Science Graduate Fellows. These represent some of the nation’s brightest graduate students in computational science, each pursing a PhD in a field that uses HPC to solve complex science and engineering problems.
Numerous Berkeley Lab Computing Sciences staff will be participating in the ISC18 conference June 24-28 in Frankfurt, Germany.
Science Search, a web-based search engine for scientific data is currently being developed by a team of researchers in Berkeley Lab's CRD and NERSC. The team is also developing innovative machine learning tools to pull contextual information from scientific datasets and automatically generate metadata tags for each file. As a proof-of-concept, the team is working with staff at the Molecular Foundry, to demonstrate the concepts of Science Search on the images captured by the facility's instruments.
