Simulations Reveal Nature’s Design for Error Correction During DNA Replication

A Georgia State University team has used the nation’s fastest supercomputer, Summit at the US Department of Energy’s Oak Ridge National Laboratory, to find the optimal transition path that one E. coli enzyme uses to switch between building and editing DNA to rapidly remove misincorporated pieces of DNA.

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New NSF Physics Frontier Center Will Focus on Neutron Star Modeling in ‘Gravitational Wave Era’

A new Physics Frontier Center at UC Berkeley, supported by the National Science Foundation, expands the reach and depth of existing capabilities on campus and at neighboring Berkeley Lab in modeling one of the most violent events in the universe: the merger of neutron stars and its explosive aftermath.

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Summit Helps Predict Molecular Breakups

A team used the Summit supercomputer to simulate transition metal systems—such as copper bound to molecules of nitrogen, dihydrogen, or water—and correctly predicted the amount of energy required to break apart dozens of molecular systems, paving the way for a greater understanding of these materials.

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Supercomputing Aids Scientists Seeking Therapies for Deadly Bacterial Disease

A team of scientists led by Abhishek Singharoy at Arizona State University used the Summit supercomputer at the Oak Ridge Leadership Computing Facility to simulate the structure of a possible drug target for the bacterium that causes rabbit fever.

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Major upgrades of particle detectors and electronics prepare CERN experiment to stream a data tsunami

For an experiment that will generate big data at unprecedented rates, physicists led design, development, mass production and delivery of an upgrade of novel particle detectors and state-of-the art electronics.

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BP Looks to ORNL, ADIOS to Help Rein in Data

British Petroleum researchers invited ORNL data scientists to give the company’s high-performance computing team a tutorial of the laboratory’s ADIOS I/O middleware. ADIOS has helped researchers achieve scientific breakthroughs by providing a simple, flexible way to describe data in their code that may need to be written, read, or processed outside of the running simulation. ORNL researchers Scott Klasky and Norbert Podhorszki demonstrated how it could help the BP team accelerate their science by helping tackle their large, unique seismic datasets.

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