news, journals and articles from all over the world.
Researchers at the Department of Energy’s Oak Ridge National Laboratory (ORNL) have developed a quantum chemistry simulation benchmark to evaluate the performance of quantum devices and guide the development of applications for future quantum computers.
Read moreGlobus, a leading research data management service, today announced the general availability of Globus for Google Cloud, a new solution for accessing and managing data stored in Google Cloud object storage.
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In this Q&A, Oak Ridge National Laboratory’s Dan Jacobson talks about his team’s work on a genomic selection algorithm, his vision for the future of environmental genomics, and the space where simulation meets AI.
A team at Georgia Tech created a new turbulence algorithm optimized for the Summit supercomputer. It reached a performance of less than 15 seconds of wall-clock time per time step for more than 6 trillion grid points—a new world record surpassing the prior state of the art in the field for the size of the problem.
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Computational scientists, biophysicists and statisticians from Lawrence Livermore National Laboratory (LLNL) and Los Alamos National Laboratory (LANL) are leading a massive multi-institutional collaboration that has developed a machine learning-based simulation for next-generation supercomputers capable of modeling protein interactions and mutations that play a role in many forms of cancers.
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A team used the Summit supercomputer to simulate a 10,000-atom magnesium dislocation system at 46 petaflops, a feat that earned the team an ACM Gordon Bell Prize finalist nomination and could allow scientists to understand which alloying materials to add to improve magnesium alloys.
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A team simulated a 10,000-atom 2D transistor slice on the Summit supercomputer and mapped where heat is produced in a single transistor. Using a new data-centric version of the OMEN nanodevice simulator, the team sustained the code at 85.45 petaflops and earned a Gordon Bell Prize finalist nomination.
Read moreTo accelerate promising artificial intelligence applications in diverse research fields, ORNL has established a labwide AI Initiative. This internal investment brings the lab’s AI expertise, computing resources and user facilities together to facilitate analyses of massive datasets.
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Profiled is physicist Gaute Hagen of the Department of Energy’s Oak Ridge National Laboratory, who runs advanced models on powerful supercomputers to explore how protons and neutrons interact to “build” an atomic nucleus from scratch.
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ExaStar aims to create simulations for comparison with experiments and observations to help answer a variety of questions: Why is there more iron than gold in the universe? Why is anything rarer than anything else? Why is finding transuranic elements on the face of the earth difficult?
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A team devised a way to better model water’s properties. They developed a machine-learning workflow that offers accurate and computationally efficient models.
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