$300,000 NSF MRI grant awarded to Furman, Mount Holyoke, Richmond to expand program for young chemists

The three-year grant is earmarked for the purchase of an additional high-performance computer cluster to join existing MERCURY resources hosted offsite. The grant will enable 13 more undergraduate-focused research groups to benefit, growing the consortium to 47 computational scientists at 41 institutions nationwide.

Scientists use machine learning to accelerate materials discovery

Scientists at Argonne National Laboratory have recently demonstrated an automated process for identifying and exploring promising new materials by combining machine learning (ML) and high performance computing.

Helping companies improve energy efficiency through high performance computing

The U.S. Department of Energy (DOE) has awarded DOE’s Argonne National Laboratory with $600,000 in federal funding to work on two new projects that will advance cutting edge manufacturing and clean energy technologies.

8 Things Argonne is Doing to Save the Earth

Stepping into their superhero gear, Argonne scientists are using science and the world’s best technology to combat some of Earth’s toughest foes, from pollution to climate change.

Argonne innovations and technology to help drive circular economy

In a collaborative effort to “recover, recycle and reuse,” Argonne strengthens research that addresses pollution, greenhouse gases and climate change and aligns with new policies for carbon emission reduction.

How Argonne is working to power a clean energy revolution

A growing global population will need energy from a range of sources. Scientists at Argonne National Laboratory have been pioneering solutions for 75 years.

Expert: Why the discovery of a room-temperature superconductor is such huge news

UB’s Eva Zurek, a theoretical chemist, is an expert on high-pressure chemistry and the search for superconductors BUFFALO, N.Y. — After decades of hunting, scientists recently announced the discovery of a room-temperature superconductor — an elusive material that conveys electricity with…

Active learning accelerates redox-flow battery discovery

In a new study from the U.S. Department of Energy’s Argonne National Laboratory, researchers are accelerating the hunt for the best possible battery components by employing artificial intelligence.

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

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.