The white plumes of steam billowing from the cooling towers of nuclear power plants and other thermal power plants represent an opportunity to some—the opportunity to collect a valued resource, purified water, that is now lost to the atmosphere. A small company called Infinite Cooling is looking to commercialize a technology recently developed at the Massachusetts Institute of Technology by the Varanasi Research Group, whose work is described in an article written by David L. Chandler, of the MIT News Office, and published on August 3.

Physicists from the Massachusetts Institute of Technology and other institutions have measured the effect of a single neutron in a molecule of radium monofluoride and hypothesize that radioactive molecules could be used as a tool to explore why there is more matter than antimatter in the universe. The research team’s findings were published in the journal Physical Review Letters on July 7, and on the same day, an article published online by MIT News explained the implications of their work.

Neutron resonance transmission analysis (NRTA) was developed by researchers at Los Alamos National Laboratory to identify unknown materials inside a sealed object using a beam of neutrons from a laboratory-scale apparatus. Recognizing that the potential nuclear security applications of NRTA were limited by the size and location of the apparatus, Areg Danagoulian, an associate professor in the Massachusetts Institute of Technology’s Department of Nuclear Science and Engineering, began about five years ago to consider how NRTA could be made portable to examine materials on location.

In this AI-designed layout for a boiling water reactor, fuel rods are ideally positioned around two fixed water rods to burn more efficiently. MIT researchers ran the equivalent of 36,000 simulations to find the optimal configurations. Colors correspond to varying amounts of uranium and gadolinium oxide in each rod. Image: Majdi Radaideh/MIT

Researchers at the Massachusetts Institute of Technology and Exelon show that by turning the nuclear fuel assembly design process into a game, an artificial intelligence system can be trained to generate dozens of optimal configurations that can make each fuel rod last about 5 percent longer, saving a typical power plant an estimated $3 million a year, the researchers report.

The AI system can also find optimal solutions faster than a human and can quickly modify designs in a safe, simulated environment. The results appear in the journal Nuclear Engineering and Design.

Designs chosen for ARC-20 support could be commercialized in the mid-2030s. Graphic: DOE

The Department of Energy’s Office of Nuclear Energy (DOE-NE) has named the recipients of $20 million in Fiscal Year 2020 awards for Advanced Reactor Concepts–20 (ARC-20), the third of three programs under its Advanced Reactor Demonstration Program (ARDP). The three selected teams—from Advanced Reactor Concepts LLC, General Atomics, and the Massachusetts Institute of Technology—will share the allocated FY20 funding for ARC-20 and bring the total number of projects funded through ARDP to 10. DOE-NE announced the news on December 22.

The DOE expects to invest a total of about $56 million in ARC-20 over four years, with industry partners providing at least 20 percent in matching funds. The ARDP funding opportunity announcement, issued in May 2020, included ARC-20 awards, Advanced Reactor Demonstration awards, and Risk Reduction for Future Demonstration awards.

An MIT-led team found that the formulas describing how atoms behave in a gas can be generalized to predict how protons and neutrons interact at close range. Image: Collage by MIT News. Neutron star image: X-ray (NASA/CXC/ESO/F.Vogt et al); Optical (ESO/VLT/MUSE & NASA/STScI)

In an MIT News article playfully titled “No matter the size of a nuclear party, some protons and neutrons will always pair up and dance,” author Jennifer Chu explains that findings on the interactions of protons and neutrons recently published in the journal Nature Physics show that the nucleons may behave like atoms in a gas.

A Massachusetts Institute of Technology–led team simulated the behavior of nucleons in several types of atomic nuclei using supercomputers at Los Alamos National Laboratory and Argonne National Laboratory. The team investigated a range of nuclear interaction models and found that formulas describing a concept known as contact formalism can be generalized to predict how protons and neutrons interact at close range.

You may have read the abbreviated version of this article in the November 2020 issue of Nuclear News. Now here's the full article—enjoy!

I have enjoyed a long and stimulating career in applied nuclear physics—specifically nuclear reactor physics, nuclear fusion plasma physics, and nuclear fission and fusion reactor design—which has enabled me to know and interact with many of the scientists and engineers who have brought the field of nuclear energy forward over the past half-century. In this time I have had the fortune to interact with and contribute (directly and indirectly) to the education of many of the people who will carry the field forward over the next half-century.

Cutaway of the SPARC engineering design. Image: CFS/MIT-PSFC, CAD rendering by T. Henderson

Seven open-access, peer-reviewed papers on the design of SPARC, Commonwealth Fusion Systems’ (CFS) fusion tokamak, written in collaboration with the Massachusetts Institute of Technology’s Plasma Science and Fusion Center, were published on September 29 in a special edition of the Journal of Plasma Physics.

The papers describe a compact fusion device that will achieve net energy where the plasma generates more fusion power than used to start and sustain the process, which is the requirement for a fusion power plant, according to CFS.

The timeline for this planned device sets it apart from other magnetic confinement fusion tokamaks: Construction is to begin in 2021, with the device coming on line in 2025.

CFS expects the device to achieve a burning plasma—a self-sustaining fusion reaction—and become the world’s first net energy (Q>1) fusion system. The newly released papers reflect more than two years of work by CFS and the Plasma Science and Fusion Center to refine their design. According to CFS, the papers apply the same physics rules and simulations used to design ITER, now under construction in France, and predict, based on results from existing experiments, that SPARC will achieve its goal of Q>2. In fact, the papers describe how, under certain parameters, SPARC could achieve a Q ratio of 10 or more.

Cutaway of the SPARC engineering design. Image: CFS/MIT-PSFC, CAD Rendering by T. Henderson

A special issue of the Journal of Plasma Physics gives a glimpse into the physics basis for SPARC, the DT-burning tokamak being designed by a team from the Massachusetts Institute of Technology and Commonwealth Fusion Systems. The special issue was announced in a September 29 post on the Cambridge University Press blog Cambridge Core.

The special JPP issue includes seven peer-reviewed articles on the SPARC concept, which takes advantage of recent breakthroughs in high-temperature superconductor technology to burn plasma in a compact tokamak design.

Separation of Kr-85 from spent nuclear fuel by a highly selective metal organic framework. Image: Mike Gipple/National Energy Technology Laboratory

According to a story published by the Massachusetts Institute of Technology on July 24, the capture of gaseous fission products such as krypton-85 during the reprocessing of spent nuclear fuel could be aided by the adsorption of gasses into an advanced type of soft crystalline material, metal organic frameworks(MOF), which feature high porosity and large internal surface areas that can trap an array of organic and inorganic compounds.

A three-part free webinar workshop, Separating Nuclear Reactors from the Power Block with Heat Storage: A New Power Plant Design Paradigm, will run for three upcoming Wednesdays, starting this week on July 29. The workshop is being hosted jointly by the Massachusetts Institute of Technology (MIT), Idaho National Laboratory (INL), and the Electric Power Research Institute (EPRI).