Today at Berkeley Lab

CRD’s Mauro Del Ben Wins IBM Research Prize

Mauro Del Ben, a postdoc in the Computational Research Division’s Computational Chemistry, Materials and Climate Group, has been awarded the IBM Research Forschungspreis (research prize) for his Ph.D. thesis on “Efficient Non-Local Dynamical Electron Correlation for Condensed Matter Simulations.” More>

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Students, Faculty Head Back to School, but a Few Stay on With CRD

Nearly all of the summer students and guest faculty working in Computing Sciences are back home, preparing for the new school year. But not all of them. Rafael Zamora and Tom Corcoran from Hood College in Maryland had their stays extended as they apply deep learning to classifying protein structures that could lead to more effective cancer-fighting drugs. More>

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Targeting Better Cancer Drugs Through Lab Partnership

University of Kentucky professor Sally Ellingson and student Derek Jones spent the summer in the Lab’s Computational Research Division working on a model that uses machine learning to assess how drugs bind with proteins. Their work is sponsored by a Lab partnership that allows Ellingson to extend national lab research opportunities to students interested in computational science. More>

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Five Lab Researchers Receive DOE Early Career Research Awards

Lab recipients include Nick Bouskill, Charlie Koven, and Neslihan Taş Baas of Earth and Environmental Sciences, Qiang Du of Engineering, and Mariam Kiran of the Energy Sciences Network (ESnet). Additionally, Lin Lin of the Computational Research Division and Eric Neuscamman of the Chemical Sciences Division received Early Career awards through UC Berkeley. More>

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CRD’s Will Pazner Wins First Place at AIAA Aviation Forum

Pazner, a graduate student researcher in the Computational Research Division’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 Aviation Forum with his paper “High-Order DNS and LES simulations Using an Implicit Tensor-Product Discontinuous Galerkin Method.” More>

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Will Brain-Inspired Chips Make a Dent in Science’s Big Data Problems?

Although neuromorphic computing is still in its infancy, researchers in Berkeley Lab’s Computational Research Division hope that these tiny, low-power, brain-inspired computing systems could one day help alleviate some of science’s big data challenges. With funding from the Laboratory Directed Research and Development program, two groups of researchers are exploring how science might benefit from this new technology. More>

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CRD’s David Patterson to Help Lead ‘Crucial’ Google Project

Patterson, who recently retired as a UC Berkeley professor, is now a key part of the team behind a critical chip that Google uses for artificial intelligence processing. Without the chip, it is estimated Google would have to double its data centers to support even a limited amount of voice processing. More>

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Matthias Vallentin Takes a “VAST” Step Forward in Cyber Security

Postdoctoral researcher Matthias Vallentin of the Computational Research Division (CRD) is working with UC Berkeley computer science professor and CRD network researcher Vern Paxson to develop VAST, a system that will help forensic security analysts pinpoint how much of an organization’s computer network has been compromised, and where. More>

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CRD’s Scott Beamer Wins Distinguished Dissertation Award

Scott Beamer, a postdoc in the Computational Research Division’s Computer Architecture Group, will receive the 2016 SPEC Kaivalya Dixit Distinguished Dissertation Award at the 8th ACM/SPEC International Conference on Performance Engineering being held April 22-27 in L’Aquila, Italy. More>

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Recognition Software Drives Matches Across Multiple Science Domains

A team led by Daniela Ushizima of the Computational Research Division has built a Python-based tool for content-based image retrieval (CBIR) capable of searching relevant items from large datasets, given unseen samples. Named “pyCBIR,” the tool can be used to catalog and retrieve images from different science domains, such as biology, materials research, and geology. More>

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