Finding Game-Changing Superconductors with Machine Learning Tools

Superconductors – found in MRI machines, nuclear fusion reactors and magnetic-levitation trains – work by conducting electricity with no resistance at temperatures near absolute zero, or -459.67F. The search for a conventional superconductor that can function at room temperature has been ongoing for roughly a century, but research has sped up dramatically in the last decade because of new advances in machine learning (ML) using supercomputers such as Expanse at the San Diego Supercomputer Center (SDSC) at UC San Diego.

FROM ATOMS TO EARTHQUAKES TO MARS: HIGH-PERFORMANCE COMPUTING A SWISS ARMY KNIFE FOR MODELING AND SIMULATION

At Idaho National Laboratory, computational scientists use INL’s supercomputers to perform “virtual experiments” to accomplish research that couldn’t be done by conventional means. While supercomputing can’t replace traditional experiments, supercomputing is an essential component of all modern scientific discoveries and advancements.

James Barr von Oehsen Named Director of the Pittsburgh Supercomputing Center

James Barr von Oehsen has been selected as the director of the Pittsburgh Supercomputing Center (PSC), a joint research center of Carnegie Mellon University and the University of Pittsburgh. Von Oehsen is a leader in the fields of cyberinfrastructure, research computing, advanced networking, data science and information technology.

Frontier supercomputer debuts as world’s fastest, breaking exascale barrier

The Frontier supercomputer at the Department of Energy’s Oak Ridge National Laboratory earned the top ranking today as the world’s fastest on the 59th TOP500 list, with 1.1 exaflops of performance. The system is the first to achieve an unprecedented level of computing performance known as exascale, a threshold of a quintillion calculations per second.

U.S. Department of Energy’s Argonne National Laboratory and Hewlett Packard Enterprise prepare for exascale era with new testbed supercomputer

Argonne and HPE unveiled a new testbed supercomputer that will enable scientists and developers to test and optimize software codes and applications for the forthcoming exascale supercomputer, Aurora.

Argonne and Oak Ridge National Laboratories award Codeplay software

Argonne National Laboratory (Argonne) in collaboration with Oak Ridge National Laboratory (ORNL), has awarded Codeplay a contract implementing the oneAPI DPC++ compiler, an implementation of the SYCL open standard software, to support AMD GPU-based high-performance compute (HPC) supercomputers.

Preparing for exascale: Aurora supercomputer to help scientists visualize the spread of cancer

In advance of Argonne’s Aurora exascale supercomputer, Duke University assistant professor Amanda Randles is leading a new study to analyze cancer metastasis using HARVEY, a code that simulates blood vessels within the human body.

Seventeen from Argonne recognized with Secretary of Energy’s Honor Awards

Six groups that included seventeen scientists from the U.S. Department of Energy’s (DOE) Argonne National Laboratory were recent recipients of the DOE’s 2020 Secretary of Energy’s Honor Awards.

Argonne Training Program on Extreme-Scale Computing seeks applications for 2021

ATPESC provides in-depth training on using supercomputers, including next-generation exascale systems, to facilitate breakthrough science and engineering.

Mira’s Last Journey: exploring the dark universe

Scientists used a supercomputer to perform one of the five largest cosmological simulations ever — the Last Journey. This simulation will provide crucial data for sky maps to aid leading cosmological experiments.

Emotional dependency on smoking-vaping combo differs from just smoking

Researchers have known that emotions play a critical, but complex role in shaping dependency on smoking and vaping. Now, a team of researchers report that emotions that trigger dependency for people who both smoke and vape may be different from people who just smoke, a finding that may one day help scientists create more personalized programs to help people quit tobacco smoking and vaping.

Virtual reality: ALCF’s remote interns tackle real-world computing projects

The Argonne Leadership Computing Facility’s internship program went virtual this year, providing students with an opportunity to work on real-world research projects that address issues at the forefront of scientific computing.

The high-tech evolution of scientific computing: A slight return

To leverage emerging computing capabilities and prepare for future exascale systems, the Argonne Leadership Computing Facility, a DOE Office of Science User Facility, is expanding its scope beyond traditional simulation-based research to include data science and machine learning approaches.

Creating the software that will unlock the power of exascale

Researchers nationwide are building the software and applications that will run on some the world’s fastest supercomputers. Among them are members of DOE’s Exascale Computing Project who recently published a paper highlighting their progress so far.

Virtual Argonne training program prepares researchers for extreme-scale computing

The annual Argonne Training Program on Extreme-Scale Computing went virtual this year, providing two weeks of instruction to ready attendees for science in the exascale era.

Virtual symposium experts offer insights on big data issues, opportunities

Registration is now open for Penn State’s Institute of Computational and Data Sciences’ (ICDS) 2020 Symposium. The two-day symposium will be held virtually Oct. 21-22 and will feature an interdisciplinary group of speakers and experts who will focus on both the challenges — and opportunities — of big data and data science.

Argonne conducts largest-ever simulation of flow inside an internal combustion engine

Groundbreaking simulation provides data that could help manufacturers create greener engines.

UAH’s Baudry Lab finds 125 naturally occurring compounds with potential against COVID-19

The Baudry Lab at The University of Alabama in Huntsville (UAH) has identified 125 naturally occurring compounds that have a computational potential for efficacy against the COVID-19 virus from the first batch of 50,000 rapidly assessed by a supercomputer.

Making a Material World Better, Faster Now: Q&A With Materials Project Director Kristin Persson

Berkeley Lab’s Kristin Persson shares her thoughts on what inspired her to launch the Materials Project online database, the future of materials research and machine learning, and how she found her own way into a STEM career.

UAH boosts search for COVID-19 drugs using HPE Cray Sentinel supercomputer

University of Alabama in Huntsville (UAH) professor of biological science Dr. Jerome Baudry is collaborating with Hewlett Packard Enterprise (HPE) to use HPE’s Cray Sentinel supercomputer to search for natural products that are effective against the COVID-19 virus.

UAH joins supercomputing effort to find drugs effective against COVID-19

A professor in the Department of Biological Sciences at The University of Alabama in Huntsville (UAH) is part of an effort led by Oak Ridge National Laboratory (ORNL) in Tennessee that applies the power of supercomputers to screen compounds for effectiveness against the pandemic COVID-19 virus.

Argonne researchers to share scientific computing insights at SC19

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.