Eight Los Alamos National Laboratory innovations were selected as finalists for the 2017 R&D 100 Awards, which honor the top 100 proven technological advances of the past year as determined by a panel selected by R&D Magazine.
ORNL researchers have been awarded $2 million to apply novel machine learning techniques to large-scale scientific data.
In July, the U.S. Department of Energy’s (DOE) Argonne National Laboratory hosted a five-day Coding Camp for more than two dozen high school juniors and seniors, teaching new programming skills and how computer science is an integral part of an Argonne researcher’s life.
Setting up a supercomputer is far more complicated than just bringing it home from the electronics store. Staff members of the Department of Energy’s supercomputing user facilities spend years on the process, from laying out requirements through troubleshooting. In the end, they run some of the most powerful computers in the world to help solve some of science’s biggest problems.
Two technologies developed at Los Alamos National Laboratory were recently recognized by the Federal Laboratory Consortium’s Mid-Continent Region for their contribution to both Los Alamos’ mission and the greater good.
A computer code used by physicists around the world to analyze and predict tokamak experiments can now approximate the behavior of highly energetic atomic nuclei, or ions, in fusion plasmas more accurately than ever.
Veterans will be the ultimate winners in the U.S. Department of Veterans Affairs-Department of Energy (DOE) Big Data Science Initiative, a collaborative research effort that casts Argonne National Laboratory in a prominent role.
Scientists at Berkeley Lab have developed new computer models to explore what happens when a black hole joins with a neutron star – the superdense remnant of an exploded star.
The annual conference will bring together government, academia, industry, and utilities to focus on key topics critical to enabling scientific discovery from big data.
Argonne researchers tackling cancer through deep learning with an eye towards the future and exascale computing.
Herbert Van de Sompel, research scientist at the Research Library of the Los Alamos National Laboratory, has been named the 2017 recipient of the Paul Evan Peters Award from the Coalition for Networked Information (CNI), the Association of Research Libraries, and EDUCAUSE.
Through the “Facilities Integrating Collaborations for User Science” (FICUS) initiative, 6 proposals have been selected to participate in a new partnership between the DOE Joint Genome Institute and the National Energy Research Scientific Computing Center, both U.S. Department of Energy user facilities at Lawrence Berkeley National Laboratory.
A new integrated climate model developed by Oak Ridge National Laboratory and other institutions is designed to reduce uncertainties in future climate predictions as it bridges Earth systems with energy and economic models and large-scale human impact data.
In collaboration with staff from the Argonne Leadership Computing Facility, researchers at the National Cancer Institute have perfected a technique that accurately computes the 3-D structure of RNA sequences. This method, which relies on a computer program known as RS3D and supercomputer Mira gives researchers studying cancer and other diseases structural insights about associated RNAs that can be used to advance computer-assisted drug design and development.
It’s not unusual for anyone to shop online at Amazon, but one young scientist went to the website looking for more than a favorite book. University of Connecticut Postdoctoral Researcher Nobuo Sato plans to conduct theoretical research in nuclear physics using the online retailer’s computing services, and he has been awarded the 2017 JSA Postdoctoral Research Grant to do it.
A team led by the Department of Energy’s Oak Ridge National Laboratory has used sophisticated neutron scattering techniques to detect an elusive quantum state known as the Higgs amplitude mode in a two-dimensional material.
Someday soon, you might be managing, working with or even working for a robot. A core MBA class at Missouri University of Science and Technology prepares students for this distinct possibility, and teaches them how to coexist with their future artificial intelligence colleagues.
Although neuromorphic computing is still in its infancy, Lawrence Berkeley National Laboratory (Berkeley Lab) researchers 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 (LDRD) program, two groups of researchers are exploring how science might benefit from this new technology.
Teams of researchers, students, and software developers recently came together for a hands-on programming workshop to accelerate their scientific applications on computing devices called graphics processing units (GPUs).
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