ALCF projects cover many scientific disciplines, ranging from biology and physics to materials science and energy technologies. Filter ongoing and past projects by allocation program, scientific domain, and year.
This project targets semileptonic decays with a B or D meson in the initial states and a pion or kaon in the final state, for which the transition matrix elements—known as form factors—for the vector, scalar, and tensor currents will be computed. Leadership-class computational resources are essential to reduce the theoretical uncertainties to the target level.
An interdisciplinary, collaborative team will use predictive hierarchical modeling and machine learning to accelerate the discovery and design of materials for a variety of energy-related applications and to advance scientific and technological capabilities with innovative discoveries.
This project studies dynamics of jets in subrelativistic regimes, including collisional effects, to determine the necessary conditions to observe the particle acceleration mechanisms associated with astrophysical jets in the laboratory. This will allow us to guide the design of future experiments aimed at probing the plasma processes and the acceleration mechanisms associated with the extreme cosmic accelerators.
In close collaboration with Framatome and the NRC, this project aims to validate open-source Nek5000 code for two sets of experiments: the ALAIN loop flow test and the PANDA facility Geometries. Framatome designs, manufactures, and installs components, fuel, and instrumentation and control systems for nuclear plants.
To support the Deep Underground Neutrino Experiment and Long-Baseline Neutrino Facility, this project will execute optimization calculations will include the material, geometry and magnetic fields in the target assembly and horns because these all have a significant impact on the pion/kaon production and affect the neutrino spectra.
This project aims to further advance understanding of the response of tungsten, the proposed ITER divertor, to low energy, mixed H-He plasma exposure in the presence of impurity atoms including beryllium and neon.
Understanding the relevant dynamics and the role of short-range physics contributing to neutrinoless-double-beta decay processes requires study of decay mediated by the exchange of a neutrino. This decay can involve values of momentum transfer of the order of a few hundred MeV. To test the validity of the axial currents in this kinematical region, this work studies low-momentum responses and muon capture in light nuclei for which data are available.
This project will perform a series of high-fidelity multiphysics calculations to compute a set of hot channel factors for a lead-cooled fast reactor design using DOE-NEAMS codes.
This project will utilize density functional theory and machine learning methods that enable exhaustive searches for active catalyst facets (monometallic and bimetallic) and reveal active site motifs for deoxygenation and C-C bond formation reactions.