Sally Ellingson and Derek Jones of the University of Kentucky, Lexington, spent the summer working in CRD to use machine learning to enhance a model for predicting how drugs will bind to specific proteins. » Read More
Lin Lin, a faculty scientist in Berkeley Lab’s Computational Research Division and an assistant professor in UC Berkeley’s Mathematics Department, has received a 2017 Early Career Research Program award from the Department of Energy’s Office of Science. » Read More
Using a publicly available Weather Research and Forecasting regional model, Berkeley Lab researchers “hindcast” the conditions that led to the Sept. 9-16, 2013 flooding around Boulder, Colo. and found that climate change attributed to human activity made the storm much more severe than would otherwise have occurred. » Read More
A new Berkeley Lab algorithmic framework called multi-tiered iterative phasing (M-TIP) utilizes advanced mathematical techniques to determine 3D molecular structure of important nanoobjects like proteins and viruses from very sparse sets of noisy, single-particle data. » Read More
Although neuromorphic computing is still in its infancy, researchers in Berkeley Lab's CRD hope that these tiny, low-power, brain-inspired computing systems could one day help alleviate some of science’s big data challenges. » Read More
Sally Ellingson and Derek Jones of the University of Kentucky, Lexington, spent the summer working in CRD to use machine learning to enhance a model for predicting how drugs will bind to specific proteins.
Lin Lin, a faculty scientist in Berkeley Lab’s Computational Research Division and an assistant professor in UC Berkeley’s Mathematics Department, has received a 2017 Early Career Research Program award from the Department of Energy’s Office of Science.
Will Pazner, a graduate student researcher in CRD’s Mathematics Group won first place in the computational fluid dynamics category of a student paper competition hosted by the 2017 American Institute of Aeronautics and Astronautics (AIAA) Aviation Forum.
Using a publicly available Weather Research and Forecasting regional model, Berkeley Lab researchers “hindcast” the conditions that led to the Sept. 9-16, 2013 flooding around Boulder, Colo. and found that climate change attributed to human activity made the storm much more severe than would otherwise have occurred.
