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Chicago Public School students go beyond coding and explore artificial intelligence with Argonne National Laboratory

February 21, 2020 sarah Jonas Artificial Intelligence, Computational Science, Computer Science And Engineering,, Data Science/Data Analysis, High School, scientific computing, STEM outreach

The U.S. Department of Energy’s Argonne National Laboratory’s Educational Programs and Outreach department hosted Computer Science for All — Coding and Beyond, in December as a part of the Argonne National Laboratory, Chicago initiative.

Announcement

Argonne leads award-winning collaboration with Kairos Power that unveils new simulation of nuclear power plants

February 13, 2020 sarah Jonas computational fluid dynamics, computational physics, Computational Science, Computer Science And Engineering,, cyberphysical systems, Energy and Global Security, global security, multiphysics, Nuclear chemistry, Nuclear Engineering, Nuclear Science and Engineering, Research Reactor Methods And Codes

Argonne scientists won a 2019 R&D 100 award for collaborating with Kairos Power to create software that simulates entire nuclear power plants.

Feature

Argonne engineers streamline jet engine design

February 10, 2020 sarah Jonas Advanced Photon Source (APS), Argonne Leadership Computing Facility (ALCF), Artificial Intelligence, Center for Transportation Research, computational fluid dynamics, Computational Science, Computing, Environment & Life Sciences, Energy and Global Security, Energy Systems Division (ES), global security, Machine Learning, Modeling And Simulation, Scientific User Facilities

Argonne scientists are combining one-of-a-kind x-ray experiments with novel computer simulations to help engineers at aerospace and defense companies save time and money.

Feature

CFN Staff Spotlight: Xiaohui Qu Bridges the Data Science-Materials Science Gap

January 31, 2020 sarah Jonas Algorithm, Artificial Intelligence, Center for Functional Nanomaterials, Computation, Computational Chemistry, Computational Science, Computer Science, Data Analytics, data science, Machine Learning, machine learning algorithm, Materials Science, Nanoscience, quantum chemistry, Theory, Thin Films, transmission electron microscopy

As a staff member in the Theory and Computation Group at Brookhaven Lab’s Center for Functional Nanomaterials, Qu applies various approaches in artificial intelligence to analyze experimental and computational nanoscience data.

Research Results

Playing the angles with dramatic effect

December 19, 2019 sarah Jonas 0 Comments computational physics, Computational Science, condensed matter physics, Materials Science And Engineering,, Modeling And Simulation, Physics, Semiconductors and Superconductors

Researchers report the most complete model to date concerning the transition from metal to insulator in correlated oxides. These oxides have fascinated scientists because of their many attractive electronic and magnetic properties.

Feature

New Argonne model helps decision makers predict and plan for the future of electrified transportation

November 18, 2019 sarah Jonas 0 Comments Business Development, business opportunities, Business partnerships, Business Relationships, Commercialization, Computational Science, Modeling And Simulation, Science And Technology Partnerships And Outreach, Transportation, vehicle technologies

Argonne researchers have developed a large-scale computational model that helps decision makers allocate investment in electrified transportation infrastructure and serve consumers interested in owning electric vehicles.

Feature

Multi-disciplinary Argonne team puts brakes on vehicle hacking

November 15, 2019 sarah Jonas 0 Comments Computational Science, Strategic Cybersecurity Analysis and Research, Supercomputer

Will hackers target your car with ransomware? Argonne’s cybersecurity experts gauge the risk of cyberattacks on vehicles.

Feature

Argonne researchers to share scientific computing insights at SC19

November 15, 2019 sarah Jonas 0 Comments Argonne Leadership Computing Facility, Artificial Intelligence, Computational Science, Data Science/Data Analysis, Machine Learning, neuromorphic computing, Quantum information science, Scientific User Facilities, Supercomputer, Visualization

Several Argonne researchers will attend the Supercomputing 2019 (SC19) conference to share scientific computing advances and insights with an eye toward the upcoming exascale era.

Feature

Transforming nuclear research through industry collaboration led by Argonne

October 29, 2019 sarah Jonas 0 Comments Chemistry, Computational Science, multiphysics, Nuclear chemistry, Nuclear Engineering, Nuclear Fuels, Nuclear Reactors, Physics

Argonne nuclear scientists and engineers are collaborating with private partners in cutting-edge initiatives that will have meaningful impact.

Feature

Argonne training program prepares researchers for scientific computing in the exascale era

October 16, 2019 sarah Jonas 0 Comments Argonne Leadership Computing Facility, Computational Science, Education, Outreach, Scientific User Facilities

From July 28 to Aug. 9, 73 students participated in the 2019 Argonne Training Program on Extreme-Scale Computing (ATPESC) organized by the U.S. Department of Energy’s (DOE) Argonne National Laboratory and funded by DOE’s Exascale Computing Project (ECP).

Feature

AI technique does double duty spanning cosmic and subatomic scales

October 2, 2019 sarah Jonas 0 Comments Argonne Leadership Computing Facility, Artificial Intelligence, Computational Science, computer science and engineering, Cosmology, Deep Learning, High Performance Computing, Machine Learning, Modeling And Simulation, multiphysics, Multiscale Modeling, Physics

While high-energy physics and cosmology seem worlds apart in terms of sheer scale, physicists and cosmologists at Argonne are using similar machine learning methods to address classification problems for both subatomic particles and galaxies.

Feature

Argonne harnesses virtual power to address the most complex challenges in nuclear science

September 17, 2019 sarah Jonas 0 Comments Argonne Leadership Computing Facility, Computational Science, Computing, Environment & Life Sciences, Energy and Global Security, High Performance Computing, Nuclear Engineering, Nuclear Fuels, Nuclear Materials, Nuclear Reactors, Nuclear Science and Engineering

Designing a new type of nuclear reactor is a complicated endeavor requiring billions of dollars and years of development. Because of the high cost, Argonne researchers are running a broad suite of computational codes on supercomputers that offer power available at only a few sites worldwide.

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