Physicists use a detector under an Italian mountain to search for rare nuclear processes to explain why our Universe has more matter than antimatter.
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.
New discovery allows scientists to better stabilize the plasma in future compact fusion reactors.
Cloud microphysics affect precipitation extremes on multiple time scales in climate models.
Combining synthesis, characterization, and theory confirmed the exotic properties and structure of a new intrinsic ferromagnetic topological material.
Neutrons reveal remarkable atomic behavior in thermoelectric materials for more efficient conversion of heat into electricity.
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
Scientists demonstrate the value of a new global atmosphere model for the Energy Exascale Earth System Model.
Physicists use the Summit supercomputer to better understand a family of superconductors.
