Feature Articles

A team of collaborators from the U.S. Department of Energy’s Oak Ridge National Laboratory, Google Inc., Snowflake Inc. and Ververica GmbH has tested a computing concept that could help speed up real-time processing of data that stream on mobile and other electronic devices.

A team has used machine learning descriptions of interatomic interactions on the 200-petaflop Summit supercomputer at ORNL to model more than a billion carbon atoms at quantum accuracy and observe how diamonds behave under some of the most extreme pressures and temperatures imaginable.

Scientists used the nation’s fastest supercomputer to peer inside the intricacies of how the SARS-CoV-2 virus reproduces itself.

A team of scientists from the U.S. Department of Energy’s Oak Ridge National Laboratory used the nation’s fastest supercomputer to streamline the search for potential treatments for COVID-19.

A team led by Rommie Amaro of the University of California San Diego has used ORNL’s Summit supercomputer to model an aerosolized SARS-CoV-2 viral particle for the first time. The 1.05-billion-atom system is among the largest biochemical system ever simulated at the atomic level.

The nested nanoPOTS chip is the next generation of technology developed at PNNL to prepare single cells for proteomics.

In remote regions of Alaska, many communities aren’t connected to a regional electrical grid, forcing them to rely on importing diesel fuel to meet their energy needs. But the harsh elements can lead to interruptions in their fuel supply, and diesel prices can be excessively high. To address this issue, a collaborative project between INL researchers, the Alaska Center for Energy and Power (ACEP), and XENDEE Corporation is looking at the feasibility of enabling these microgrids to integrate power from tidal or wave energy sources along with other renewables and energy storage.

Argonne leaders discuss the advent of exascale computing and what lies ahead, including the challenges for developers and expectations of researchers. They also provide some insight on AI’s potential to forge new frontiers in automation and real-time analysis.

Molecular self-assembly expert Chun-Long Chen describes the challenges and opportunities in bio-inspired nanomaterials in a special issue of Chemical Reviews.