UNEDF: Advanced Scientific Computing Transforms the Low-Energy Nuclear Many-Body Problem

TL;DR

The UNEDF collaboration advances nuclear physics by integrating theories, algorithms, and high-performance computing to improve predictive models of nuclei and their reactions with quantified uncertainties.

Contribution

It presents significant milestones in unifying theoretical approaches, numerical algorithms, and computational resources for nuclear many-body problem modeling.

Findings

Integration of theoretical models with advanced algorithms

Utilization of leadership-class computational resources

Progress towards predictive nuclear models with quantified uncertainties

Abstract

The UNEDF SciDAC collaboration of nuclear theorists, applied mathematicians, and computer scientists is developing a comprehensive description of nuclei and their reactions that delivers maximum predictive power with quantified uncertainties. This paper illustrates significant milestones accomplished by UNEDF through integration of the theoretical approaches, advanced numerical algorithms, and leadership class computational resources.