Physical chemist Marcel Baer brings meticulous care to understanding how energy moves through molecules.
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.
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.
A growing global population will need energy from a range of sources. Scientists at Argonne National Laboratory have been pioneering solutions for 75 years.
A recent special issue in The Journal of Chemical Physics highlights PNNL’s contributions to developing two prominent open-source software packages for computational chemistry used by scientists around the world.
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…
Anyone with a smartphone can download the app ViDok, which lets users pick from a library of molecules that might bind to key proteins on the SARS-CoV-2 virus, which causes COVID-19, and then can tweak the molecules to try to find a better fit.
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.
University reports a new electrocatalyst that converts carbon dioxide and water into ethanol with very high energy efficiency, high selectivity for the desired final product and low cost.
In a recent study, led by UC San Diego’s Rommie Amaro, researchers broke new ground with their molecular simulations in terms of size, complexity and methodological analyses of the viral envelope.
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.