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.
Through this INCITE project, a team of researchers proposes to apply quantum Monte Carlo (QMC) methods to provide reliable materials predictions for several classes of quantum materials of tremendous topical interest.
With this INCITE project, the researchers will lead to improvements in the simulation capabilities of atomic nuclei and nuclear matter, and their reactions with neutrinos and electrons.
This INCITE project uses the team's Castro code to carry out high-performance, robust, and accurate simulations to advance our understanding ofXRBs and SN Ia, pushing to model a larger fraction of the neutron star surface.
With this INCITE project, the researchers aim to address the above-mentioned limitations of currently available computational materials databases by vastly extending the range of materials properties such databases contain.