Nuclear dynamics in real time

The description of nuclear processes is of great interest from the basic science point of view, but also to national security. Cross sections for nuclear reactions and fission are of great importance for energy generation, nuclear forensics, stockpile stewardship, etc. There is a need to replace phenomenological models in use with microscopic models based upon ab initio input that allow error quantification. The Time-Dependent Density Functional Theory (TDDFT) allows one to describe processes innvolving both weak probes (linear response) as well as large amplitude motion. I will present the final results of a full numerical implementation on leadership class supercomputers of the 3D TDDFT, extended to superfluid nuclear systems, free of any symmetry constraints. I will demonstrate the power of the approoach by presenting results for dipole transitions in heavy nuclei, along with a couple of cases of large amplitude collective motion (induced fission and low-energy induced reactions).