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NancyJohnston

Retired Computer Scientist Nancy Johnston has Passed Away

February 27, 2017

Nancy Johnston, former head of the lab’s Visualization Group and wife of ESnet’s Bill Johnston, died Feb. 13 following a bout with cancer. Johnston retired in 2005 after 24 years at the Lab. In retirement, she was a loving grandmother and became an avid birder, photographing Bay Area birds in the wild and in aviaries and building a detailed website. Her photos and accompanying data can be seen at at Nancy’s Bird Journal. Bill Johnston broke the news of her death by writing “My life… Read More »

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Berkeley’s Lin Lin Awarded 2017 SIAG/CSE Early Career Prize

February 24, 2017

Berkeley Lab’s Lin Lin has ben honored with a 2017 SIAM Activity Group on Computational Science and Engineering Early Career Prize. The honor is bestowed to one outstanding early career researcher that has made distinguished contributions to the field within seven years of receiving a Ph.D. Read More »

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Researchers Catch Extreme Waves with High-Resolution Modeling

February 15, 2017

Using decades of global climate data generated at a spatial resolution of about 25 kilometers squared, Berkeley Lab researchers were able to capture the formation of tropical cyclones, also referred to as hurricanes and typhoons, and the extreme waves that they generate. Read More »

KathyYelick01

LBNL’s Kathy Yelick Named to National Academy of Engineering

February 9, 2017

Associate Laboratory Director for Computing Sciences Katherine Yelick has been elected to the 2017 class of members of the National Academy of Engineering (NAE). Read More »

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Kathy Yelick Named to Alameda County Women’s Hall of Fame

February 6, 2017

Kathy Yelick, the Associate Lab Director for Computing Sciences, has been named to the Alameda County Women’s Hall of Fame for her leadership in science, technology and engineering. Twelve women, each representing a different field, were named as 2017 inductees. Read More »

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Machine Learning Method Accurately Predicts Metallic Defects

February 3, 2017

For the first time, researchers at the Berkeley Lab have built and trained machine learning algorithms to predict defect behavior in certain intermetallic compounds with high accuracy. This method will accelerate research of new advanced alloys and lightweight new materials for applications spanning automotive to aerospace and much more. Read More »

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Simulations Reveal the Invisible Chaos of Superluminous Supernovae

February 1, 2017

To better understand the physical conditions that create superluminious supernova, astrophysicists are running 2D simulations of these events using supercomputers at NERSC and the Lawrence Berkeley National Laboratory (Berkeley Lab) developed CASTRO code. Read More »

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New Employee Profiles - February 2017

February 1, 2017

Introducing Juliette Ugirumurera, Michele Rosso, Aliseo Purpura-Pontoniere and Dionne Myers. Read More »

NSRC

ESnet's Science DMZ is Focus of New Library of Training Videos Aimed at Global Audience

January 10, 2017

For members of the established research and education (R&E) networking community, attending conferences or sitting in on workshop sessions is the normal way to learn about the latest equipment, architecture, tools and technologies. But for network engineers striving to establish basic R&E infrastructure where bandwidth and other resources are scarce, the University of Oregon’s Network Startup Resource Center (NSRC) is often the primary information conduit. NSRC staff travel to… Read More »

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Diamond Shines in Molecular Dynamics Simulations

January 6, 2017

For centuries diamonds have been revered for their strength, beauty, value and utility. Now a team of researchers from Argonne National Laboratory, running molecular dynamics calculations at the Argonne Leadership Computing Facility and Berkeley Lab's National Energy Research Scientific Computing Center, are finding additional reasons to celebrate this complex material—and it has nothing to do with color, cut or clarity. Read More »