New computational methods “fingerprint” polymer motions under flow.
If observed, neutrinoless double-β decay would have changed our view of the Universe.
Researchers demonstrate a real-world large-scale application of deep neural network models for discovering novel protein-protein interactions.
Powerful statistical tools, simulations, and supercomputers explore a billion different nuclear forces and predict properties of the very-heavy lead-208 nucleus.
Three common solvents for pretreating switchgrass yield lignin extracts with the potential for making different valuable bioproducts.
Scientists map atomic-level changes in the components of a running internal combustion engine using neutron techniques.
Noise estimation circuits, in conjunction with other error mitigation methods, produce reliable results for quantum computer-based materials simulations
Physicists use the Summit supercomputer to better understand a family of superconductors.
Nuclear theorists demonstrate a new method for computing the strengths of subatomic interactions that include up to three particles.
A team using the nation’s fastest supercomputer to look at protein binding finds that some binding processes are simpler than expected.
A team studied some of the smallest particles in the Universe on the nation’s fastest computer, Summit at Oak Ridge National Laboratory.
Measurements of nuclear charge radii and state-of-the-art nuclear models challenge the magic of neutron number 32 in potassium isotopes.
