December 12, 2018
Future Loss of Arctic Sea-Ice Cover Could Contribute to the Substantial Decrease in California’s Rainfall
The dramatic Arctic sea-ice loss observed over the satellite era has intensified debate into whether these high-latitude changes are affecting
December 6, 2018
The Biermann Battery Effect: Spontaneous Generation of Magnetic Fields and Their Severing
Magnetic reconnection occurs when oppositely directed magnetic fields are forced together in plasmas, which are excellent electrical conductors. A
December 6, 2018
Subtlety and the Selective Art of Separating Lanthanides
Fundamental understanding of selective recognition and separation of lanthanide ions by chelating agents is of crucial importance for advancing
November 26, 2018
Optimal Foraging: How Soil Microbes Adapt to Nutrient Constraints
A team of scientists set out to determine whether the theory of optimal foraging, which suggests any ecological community will adjust its
November 21, 2018
More Designer Peptides, More Possibilities
Scientists from the University of Washington, Stanford University, and the Pacific Northwest National Laboratory (PNNL) created a computational
October 17, 2018
Placing Atoms for Optimum Catalysts
The team began with a flat piece of ruthenium metal. On top of the metal, they grew graphene, which is a one-atom-thick layer of carbon. In this
August 27, 2018
Riding the Wave of Liquid:Liquid Interfaces
Decades of research have empirically shown optimal conditions for a variety of separations applications, making use of specific combinations of
August 21, 2018
Reducing Friction with an Onion-Like Carbon Material
In 2015, a multidisciplinary team from Argonne National Laboratory created a material consisting of graphene, nanodiamond particles, and diamond
August 21, 2018
Auroras on the Moon? Which Moon?
High-energy electrons play an important role in auroras. However, previous dynamical simulations either did not incorporate critical electron
August 13, 2018
Deep Learning Stretches Up to Scientific Supercomputers
Machine learning techniques hold potential for enabling scientists to extract valuable insights from large, complex data sets being produced by