Argonne scientists use AI to identify new materials for carbon capture

Researchers at the U.S. Department of Energy’s Argonne National Laboratory have used new generative AI techniques to propose new metal-organic framework materials that could offer enhanced abilities to capture carbon

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.

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.

The AI-driven initiative that’s hastening the discovery of drugs to treat COVID-19

Ten organizations have created a pipeline of artificial intelligence and simulation tools to narrow the search for drug candidates that can inhibit SARS-CoV-2.

10 ways Argonne science is combatting COVID-19

Argonne scientists and research facilities have made a difference in the fight against COVID-19 in the year since the first gene sequence for the virus was published.

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.

Argonne AI methods unravel mysteries of SARS-CoV-2 viral-human cell interaction

Using a combination of AI and supercomputing resources, Argonne researchers are examining the dynamics of the SARS-CoV-2 spike protein to determine how it fuses with the human host cell, advancing the search for drug treatments.

Machine Learning Speeds Molecular Motion Modeling

Molecular dynamics is central to many questions in modern chemistry. However, computer models of molecular dynamics must balance computational cost and accuracy. Scientists have now used a machine learning technique called transfer learning to create a novel model of molecular motion that is as accurate as calculations that use quantum-mechanical physics but much faster.

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.

Argonne’s researchers and facilities playing a key role in the fight against COVID-19

Argonne scientists are working around the clock to analyze the virus to find new treatments and cures, predict how it will propagate through the population, and make sure that our supply chains remain intact.