David Brown and Craig Tull of the Computational Research Division and Alex Hexemer of the Advanced Light Source recently spent 10 days in Europe seeing the lights — light sources that use intense X-rays to study materials. Facilities like the ALS are becoming increasingly powerful discovery tools with the development of higher-resolution detectors. Thus, beamline scientists are facing unprecedented amounts of data, but not always with the infrastructure needed to manage and analyze that data. To see how this situation is being addressed elsewhere, Brown, Tull and Hexemer toured some of Europe’s leading light sources and other facilities. More>
Posts Tagged ‘Computational Research Division’
A memorial service will be held Saturday, March 8, for Gail Jackson-Maeda, a Berkeley Lab administrative assistant who died Feb. 5 after a long battle with cancer. The service will be held at 1:30 p.m. at the Unity Center, 1871 Geary Road, in Walnut Creek. Jackson-Maeda joined Berkeley Lab in 2008 and was the administrative assistant for the Advanced Computing for Science Department (ACS) in the Computational Research Division. Memorial donations may be made to any breast cancer research program. She is survived by her husband and son.
A visualization of soap bubbles bursting and reforming, created by Berkeley Lab mathematicians Robert Saye and James Sethian, has won honorable mention in the 2013 International Science and Engineering Visualization Challenge, sponsored by Science magazine and the National Science Foundation. More>
[Scientific Computing] Taghrid Samak of Berkeley Lab’s Computational Research Division admits with a laugh that she wasn’t one of those kids who started programming on the home computer at age 10. And if she hadn’t followed her father’s advice, she might have ended up looking for political solutions to pressing problems, rather than working on computational approaches to scientific challenges. More>
A high-throughput scintillator discovery project lead by Stephen Derenzo (pictured) of Life Sciences and Edith Bourret-Courchesne of Material Sciences, in collaboration with Andrew Canning of Computational Research, has received an Inter-Agency Agreement (IAA) award of over $1.3M from the Domestic Nuclear Detection Office (DNDO) for 2014. The project uses empirical rules to select the most promising candidates from the vast number of possible compounds and then uses unique custom-built high-throughput systems for synthesis and characterization. The project has been very successful at identifying new high-luminosity scintillators: Of the 33 new scintillators that were published after 2005 with luminosities above 30,000 photons/MeV, 20 (61%) were discovered by this project.
Berkeley Lab mathematicians Jeffrey Donatelli (left) and James Sethian have developed math tools to address some of the challenges facing the emerging field of X-ray nanocrystallography. They describe their technique in the Dec. 16, 2013 edition of the Proceedings of the National Academy of Sciences. Their work is part of a new project, led by Sethian, known as CAMERA (The Center for Applied Mathematics in Energy Research Applications) to design and apply mathematical solutions to data and imaging problems at Berkeley Lab facilities funded by the DOE’s Office of Basic Energy Sciences. More>
From a connection that started between soccer parents, Berkeley Lab’s Computing Sciences organization has developed an ongoing outreach program with the IT Academy at Kennedy High School in Richmond. That connection led to summer jobs for three Kennedy graduates, giving them hands-on experience and a paycheck. More>
As part of the Computational Research Division’s strategic emphasis on increasing the role of computation in all aspects of scientific discovery, the group last week hosted a one-day workshop on Machine Learning for Science. The generation of data is now often outstripping the abilities of researchers to manage, analyze and understand the data. Machine learning, the development and use of advanced techniques to automatically classify data, detect patterns or extract results, is arguably the most widely used methodology to deal with data of this size and complexity. The workshop looked at increasing the role of machine learning in the areas of climate research, cosmology, materials, microtomography and metagenomics. More>
Keith Jackson, a member of the Computational Research Division’s Advanced Computing Group, passed away on Sept. 18 after a 20-month battle with cancer. He was at the Lab for 15 years. His research spanned the development of Python interfaces for the Globus Toolkit® to working on Mickey Hart’s project to ‘sonify’ the universe. Donations in Jackson’s honor can be made to the Make-A-Wish Foundation, American Cancer Society, the Leukemia Foundation, or any organization that provides musical instruments and/or instruction for school children.
Over the next century, most of the continents are on track to become considerably warmer, with more hot extremes and fewer cold extremes. Precipitation will increase in some parts of the world but will decrease in other parts. These are some of the conclusions reached by authors of the recently released Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC). Michael Wehner of the Computational Research Division and William Collins of the Earth Sciences Division were lead authors of the chapters on long-term climate change projections and climate models, respectively. More>