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Sally and Derek HP

Partnership Targets Better Cancer Drugs

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.

DOE Early Career 2017

Two CS Researchers Receive DOE Early Career Awards

ESnet's Mariam Kiran and CRD's Lin Lin have both received 2017 Early Career Research Program awards from the Department of Energy’s Office of Science.

Cori RoyKaltschmidt BerkeleyLab 1

JGI & NERSC Join Forces to Tackle Biology Big Data

Six proposals have been selected to participate in a new partnership between NERSC and DOE Joint Genome Institute, called the FICUS initiative.

GreelyCoHP

“Hindcasting” 2013 Colorado Floods

Berkeley Lab researchers “hindcasting” the conditions that led to the Sept. 2013 flooding around Boulder, CO found that climate change attributed to human activity made the storm much more severe than would otherwise have occurred.

M TIP Rotator

Extracting Structure From Limited Data

A new algorithmic framework called M-TIP utilizes advanced math techniques to determine 3D molecular structure of nanoobjects like proteins and viruses from very sparse sets of noisy, single-particle data.

News

  • DJones SEllingson

    Targeting Better Cancer Drugs through Berkeley Lab Partnership

    August 16, 2017: 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 »

  • Mariam and Lin

    Two CS Researchers Receive 2017 Early Career Awards

    August 10, 2017: ESnet's Mariam Kiran and CRD's Lin Lin have both received 2017 Early Career Research Program awards from the Department of Energy’s Office of Science. Now in its eighth year, the award supports exceptional researchers during critical stages of their formative work by funding their research for five years. Read More »

  • Screen Shot 2017 08 06 at 11.21.41 AM

    NERSC Sims Show How Recycled Atoms Boost Plasma Turbulence

    August 7, 2017: Using NERSC's Edison supercomputer, physicists at Princeton Plasma Physics Laboratory have modeled how recycled neutral atoms, which arise when hot plasma strikes a tokamak fusion reactor’s walls, increase plasma turbulence driven by what is called the “ion temperature gradient.” Read More »