PPPL physicists Raffi Nazikian (left) and Qiming Hu, with a figure from their research. Photo: PPPL/Elle Starkman

Stars contain their plasma with the force of gravity, but here on earth, plasma in fusion tokamaks must be magnetically confined. That confinement is tenuous, because tokamaks are subject to edge localized modes (ELM)—intense bursts of heat and particles that must be controlled to prevent instabilities and damage to the fusion reactor.

Researchers at the Department of Energy’s Princeton Plasma Physics Laboratory (PPPL) and at General Atomics (GA) recently published a paper in Physical Review Letters explaining this tokamak restriction and a potential path to overcome it. They have developed a new model for ELM suppression in the DIII-D National Fusion Facility, which is operated by GA for the DOE. PPPL physicists Qiming Hu and Raffi Nazikian are the lead authors of the paper, which was announced on August 10 by PPPL.

Those attending the livestreamed July 28 celebration in person (shown here from above) followed recommended social distancing measures.

First-of-a-kind components have been arriving in recent months at the ITER construction site in Cadarache, France, from some of the 35 ITER member countries around the world. The arrival on July 21 of the first sector of the ITER vacuum vessel from South Korea marks the beginning of a four-and-a-half year machine assembly process for the world’s largest tokamak, a magnetic fusion device designed to prove the feasibility of fusion as an energy source.

ITER vacuum vessel section no. 6, shown here, was completely assembled in April. South Korea is providing four of the nine 40-degree vacuum vessel sections; Europe is providing the other five. Photo: ITER

South Korea’s Hyundai Heavy Industries (HHI) has completed work on the first vacuum vessel section for the International Thermonuclear Experimental Reactor (ITER), the ITER Organization reported on April 28. The 440-ton section is now being prepared for shipping this summer to the ITER construction site, located near Saint-Paul-lez-Durance, France.

The Department of Energy will provide $12 million for research in quantum information science (QIS) for fusion energy and plasma science. The research is expected to focus on a range of topics, including the design of quantum computing algorithms to solve problems in fusion energy, the development of quantum sensing diagnostics for fusion experiments, and the formation of novel quantum materials using high-energy-density plasmas.

The Department of Energy’s Office of Science is inviting input on its plan to develop a cost-share program in fusion reactor technologies. A request for information was published in the Federal Register, inviting interested parties to comment on the topical areas, program objectives, eligibility requirements, program organization and structure, public and private roles and responsibilities, funding modalities, and assessment criteria of such an initiative.

Jacobs has been awarded several contracts to support work on the ITER fusion project. Photo: ITER Organization

The global engineering company Jacobs announced on April 14 that it has been awarded several contracts with an estimated combined value of more than $25 million. The contracts are with the ITER Organization, Fusion for Energy, and the United Kingdom Atomic Energy Authority (UKAEA) and are intended to support fusion energy projects in France and the United Kingdom.

The winners of $32 million in funding for 15 projects to develop timely, commercially viable fusion energy were announced by the Department of Energy in April. As part of the DOE Advanced Research Projects Agency–Energy’s (ARPA-E) Breakthroughs Enabling THermonuclear-fusion Energy (BETHE) program, the projects will work to increase the number and performance levels of lower-cost fusion concepts.

The Department of Energy announced on March 4 that it will provide $30 million for new research on fusion energy. The funding will provide $17 million for research focused specifically on artificial intelligence (AI) and machine learning (ML) approaches for the prediction of key plasma phenomena, management of facility operations, and accelerated discovery through data science, among other topics. An additional $13 million under a separate funding opportunity will be devoted to fundamental fusion theory research, including computer modeling and simulation, focused on factors affecting the behavior of hot plasmas confined by magnetic fields in fusion reactors.