Strong force model predicts new isotope

Like gravity, the strong interaction is a fundamental force of nature. It is the essential “glue” that holds atomic nuclei—composed of protons and neutrons— together to form atoms, the building blocks of nearly all the visible matter in the universe.

Despite its prevalence in nature, researchers are still searching for the precise laws that govern the strong force. However, the recent discovery in laboratory experiments of an extremely exotic, short-lived nucleus called fluorine-14 may indicate that scientists are gaining a better grasp of these rules.

Fluorine-14 consists of nine protons and five neutrons. It exists for a tiny fraction of a second before a proton “drips” off, leaving an oxygen-13 nucleus behind. A team of researchers led by James Vary, a physicist at Iowa State University, was the first to predict the properties of fluorine-14. Vary’s team did it with the help of scientists from Lawrence Berkeley National Laboratory’s Computational Research Division, and by using high-performance computing systems at the National Energy Research Scientific Computing Center and the Oak Ridge Leadership Computing Facility.

The resulting fundamental predictions served as motivations for experiments conducted by Vladilen Goldberg’s team at Texas A&M’s Cyclotron Institute, which achieved the first sightings of fluorine-14.

“This is a true testament to the predictive power of the underlying theory,” Vary said. “When we published our theory a year ago, fluorine-14 had never been observed experimentally. In fact, our theory helped the team secure time on their newly commissioned cyclotron to conduct their experiment. Once their work was done, they saw virtually perfect agreement with our theory.”

He notes that the ability to reliably predict the properties of exotic nuclei with supercomputers helps pave the way for researchers to cost-effectively improve designs of nuclear reactors, to predict results from next generation accelerator experiments that will produce rare and exotic isotopes, as well as to better understand phenomena such as supernovae and neutron stars.

“We will never be able to travel to a neutron star and study it up close, so the only way to gain insights into its behavior is to understand how exotic nuclei like fluorine-14 behave and scale up,” Vary said.

Developing code to simulate the strong force

Including fluorine-14, researchers have so far discovered about 3,000 nuclei in laboratory experiments and suspect that 6,000 more could still be created and studied. Understanding the properties of these nuclei will give researchers insights into the strong force, which could in turn be applied to develop and improve future energy sources.

With these goals in mind, the U.S. Department of Energy’s Scientific Discovery through Advanced Computing (SciDAC) program brought together teams of theoretical physicists, applied mathematicians, computer scientists, and students from universities and national laboratories to create a computational project called the Universal Nuclear Energy Density Functional. The project uses high-performance computing systems to predict and understand behavior of a wide range of nuclei, including their reactions, and to quantify uncertainties. Fluorine-14 was simulated with a code called Many Fermion Dynamics–nuclear (MFDn) that is part of the UNEDF project.

According to Vary, much of this code was developed on NERSC systems over the past two decades. “We started by calculating how two or three neutrons and protons interact, then built up our interactions from there to predict the properties of exotic nuclei like fluorine-14 with nine protons and five neutrons,” Vary said. “We actually had these capabilities for some time, but were waiting for computing power to catch up. It wasn’t until the past three or four years that computing power became available to make the runs.”

Through the SciDAC program, Vary’s team partnered with scientists from LBNL’s CRD, who brought discrete and numerical mathematics expertise to improve a number of aspects in the code.

“Before our collaboration, the code had some bottlenecks, so performance was an issue,” said Esmond Ng, who heads LBNL’s Scientific Computing Group. Both Vary and Ng lead teams that are part of the UNEDF collaboration.

Vary noted that a single simulation of fluorine-14 would have taken 18 hours on 30,000 processor cores, without the improvements implemented with the LBNL team’s help. Now, each final run requires only 6 hours on 30,000 processors. The final runs were performed on the Jaguar system at the Oak Ridge Leadership Computing Facility, using an Innovative and Novel Computational Impact on Theory and Experiment (INCITE) allocation from the Department of Energy’s Office of Advanced Scientific Computing Research.

The paper that predicts fluorine-14 was published in Physical Letters C Rapid Communications.

A version of this article first appeared on the LBNL website.