A multidisciplinary team of scientists at the Department of Energy’s Oak Ridge National Laboratory has applied a laser-interference structuring, or LIS, technique that makes significant strides toward eliminating the need for hazardous chemicals in corrosion protection treatments. The novel application of the LIS method answers a call from the U.S. Department of Defense for research projects that explore nonchemical alternatives for corrosion protection in military vehicles and aircraft systems.
Ken Andersen is the associate laboratory director of the Spallation Neutron Source and the High Flux Isotope Reactor in Oak Ridge, Tennessee. This is a continuing profile series on the directors of the Department of Energy (DOE) Office of Science user facilities. These scientists lead a variety of research institutions that provide researchers with the most advanced tools of modern science.
The Compact Advanced Tokamak (CAT) concept uses physics models to show that by carefully shaping the plasma and the distribution of current in the plasma, fusion plant operators can suppress turbulent eddies in the plasma. This would reduce heat loss and allow more efficient reactor operation. This advance could help achieve self-sustaining plasma and smaller, less expensive power plants.
Argonne scientists at the Advanced Photon Source are among the first to study tiny fragments of near-Earth asteroid 162173 Ryugu, collected by a Japanese space mission. These fragments could tell us long-hidden secrets about how our planet and solar system were formed.
Argonne researchers are mapping the complex tangle of the brain’s connections — a connectome — by developing applications that will find their stride in the advent of exascale computing.
The two awards will enable physicists to use lasers to reproduce high-energy astrophysical plasmas under extreme conditions to probe processes such as space storms that can disrupt cell phone service.
Covalent organic polymers can adsorb three times more refrigerant than the best available alternatives, resulting in more efficient cooling.
PNNL data scientists are refining their artificial intelligence tools with COVID-19 data to advance therapeutics and treatments for a future pandemic.
A Sandia National Laboratories team of materials scientists and computer scientists have spent more than a year helping to create 12 new alloys — and model hundreds more — that demonstrate how machine learning can help accelerate the future of hydrogen energy.