RSS
An artificial intelligence technique — machine learning — is helping accelerate the development of tunable materials known as metal-organic frameworks
Researchers have developed a new way to decipher the atomic-level structure of materials based on data gleaned from ground-up powder samples.
New study shows that re-engineered E. coli can absorb and concentrate carbon dioxide from the air, taking a step towards carbon sequestration.
A new type of rocket thruster that could take humankind to Mars and beyond has been proposed by a physicist at Princeton Plasma Physics Laboratory.
Predicting how much quarks interact with particles and calculating the full distribution of quark energies are long-standing challenges.
Final stage will collect low-energy collision data needed to understand transition of ordinary nuclear matter into a soup of free quarks and gluons.
A simulation study suggests the best strategy for utilizing diversity is to fit genomic selection models within each parental species separately.
Findings on short-range nuclear interactions will help scientists investigate neutron stars and heavy radioactive nuclei.
Virginia Phifer was one of 52 graduate students nationwide selected for the DOE’s Office of Science Graduate Student Research Program.
Research Aims at Accelerating the Transition of Scientific Applications to Next-Generation Systems