Worldwide Stellarator Research Goes VirtualPrinceton Plasma Physics Laboratory
Article describes weekly virtual stellarator conferences held in lieu of annual face-to-face meeting because of COVID-19 travel restrictions.
Scientists at PPPL have gained new insight into a common type of plasma hiccup that interferes with fusion reactions. These findings could help bring fusion energy closer to reality.
Researchers have demonstrated that an advanced computer code could help design stellarators confine the essential heat from plasma fusion more effectively.
News release announcing online publication of the research magazine Quest.
Researchers at the Princeton Plasma Physics Laboratory and General Atomics have demonstrated a method for stabilizing fusion plasmas by suppressing edge localized modes (ELMs).
(Study publishes 6/17/20. No embargo.) Mystery enshrouds the birth of swirls typical for supernova remnants like the Crab Nebula. A new "supernova machine" may help solve it.
The U.S. Department of Laboratory's Princeton Plasma Physics Laboratory will lead the design and construction of several diagnostics for ITER, the international fusion experiment. At the same time, engineers are completing design work on a microwave reflectometer diagnostic called a low field side reflectometer.
Article profiles standout doctoral graduate who has developed a unique mathematical means to facilitate the development of stellarator fusion facilities.
A team of scientists at PPPL and Princeton University has reproduced a process that occurs in space to deepen understanding of what happens when the Earth encounters the solar wind.
ORNL Story Tips: Shuffling atoms, thinning forests, fusion assembly and nuclear medicine
Article profiles Vincent Graber, his research interests and thesis plans.
Jean Paul Allain is a professor and department head of the Ken and Mary Alice Lindquist Department of Nuclear Engineering, the director of the Radiation Surface Science and Engineering Laboratory, professor in Biomedical Engineering by courtesy and the Lloyd & Dorothy Foehr Huck Chair in Plasma Medicine at Penn State University.
Correlation discovered between magnetic turbulence in fusion plasmas and troublesome blobs at the plasma edge.
Unique PPPL simulations reveal new understanding of the highly complex edge of fusion plasmas.
New research points to improved control of troublesome magnetic islands in future fusion facilities.
PPPL scientists have borrowed a technique from applied mathematics to rapidly predict the behavior of fusion plasma at a much-reduced computational cost.
As a teenager, Kat Royston discovered that physics could give her answers to her questions about the ways the world works. Now, as a researcher in ORNL’s Reactor and Nuclear Systems Division, she works on unraveling the mysteries of fission and fusion around the world – including research for the ITER and JET fusion experiments.
Researchers have demonstrated a new approach for injecting microwaves into a tokamak fusion device. In a fusion electron-cyclotron current drive (ECCD), microwaves help stabilize the plasma while the tokamak heats the plasma on the path to fusion. The new approach to ECCD is twice as efficient as previous approaches.
With the world’s most powerful path-to-exascale supercomputing resources at their disposal, William Tang and colleagues are combining computer muscle and AI to eliminate disruption of fusion reactions in the production of sustainable clean energy.
PPPL researchers find that jumbled magnetic fields in the core of fusion plasmas can cause the entire plasma discharge to suddenly collapse.
The Sun is a spinning ball of plasma that generates its own magnetic field. As the Sun spews out plasma, it generates solar wind that pulls the Sun’s magnetic field along with it, twisting the magnetic field into what is called a Parker spiral. A recent experiment recreated this interaction at a small scale in the laboratory.
Tokamaks use magnetic fields to control plasma “Magnetic islands” are unstable structures that form in these magnetic fields. Researchers discovered that firing frozen pellets of deuterium deep into the plasma caused the magnetic islands to shrink.
The ITER fusion reactor will use rippled magnetic fields to prevent bursts of heat and particles that can damage the walls of the reactor. Physicists have now compared computer simulations of plasma with experimental measurements to understand how controlled magnetic ripples outside the plasma can suppress these bursts.
A summary of key points of the fusion and plasma science community's year-long Community Planning Process that proposes accelerating development of these strategic fields.
Research led by a Princeton University graduate student demonstrates that machine learning can predict and avoid damaging disruptions to fusion facilities.
Permanent magnets can, in principle, greatly simplify the design and production of the complex coils of stellarator fusion facilities.
The techniques Theodore Biewer and his colleagues are using to measure whether plasma has the right conditions to create fusion have been around awhile.
Injecting pellets of hydrogen ice rather than puffing hydrogen gas improves fusion performance. Studies by PPPL and ORNL physicists compared the two methods on the DIII-D National Fusion Facility, looking ahead to the injection fueling planned for ITER.
New application of deep learning allows prediction of disruptions from raw, high-resolution data from fusion energy experiments.
Advanced design of the world's largest and most powerful stellarator demonstrates the ability to moderate heat loss from the plasma that fuels fusion reactions.
Feature highlights PPPL accomplishments over the past 10 years.
Story Tips: Fusion squeeze, global image mapping, computing mental health and sodium batteries
Researchers at the DIII-D National Fusion Facility recently achieved a scientific first when they used machine learning calculations to automatically prevent fusion plasma disruptions in real time, while simultaneously optimizing the plasma for peak performance. The new experiments are the first of what they expect to be a wave of research in which machine learning–augmented controls could broaden the understanding of fusion plasmas. The work may help deliver reliable, peak-performance operation of future fusion reactors.
The American Physical Society (APS) has recognized a former PPPL summer intern for producing an outstanding research poster at the world-wide APS Division of Plasma Physics (DPP) gathering last October. The student used machine learning to accelerate a leading PPPL computer code known as XGC.
State-of-the-art simulation confirms a key source of heat and energy loss in spherical fusion facilities.
PPPL will use INCITE-award time on Summit and Theta supercomputers to develop predictions for the performance of ITER, the international experiment under construction to demonstrate the feasibility of fusion energy.
Scientists often make progress by coming up with new ways to look at old problems. That has happened at PPPL, where physicists have used a simple insight to capture the complex effects of many high-frequency waves in a fusion plasma.
Applications for internship programs are now being accepted by the National Science Foundation funded EPSCoR Project Connecting the Plasma Universe to Plasma Technology in Alabama (CPU2AL), which is headquartered at The University of Alabama in Huntsville (UAH).
British Petroleum researchers invited ORNL data scientists to give the company’s high-performance computing team a tutorial of the laboratory’s ADIOS I/O middleware. ADIOS has helped researchers achieve scientific breakthroughs by providing a simple, flexible way to describe data in their code that may need to be written, read, or processed outside of the running simulation. ORNL researchers Scott Klasky and Norbert Podhorszki demonstrated how it could help the BP team accelerate their science by helping tackle their large, unique seismic datasets.
Arms control robots, a new national facility, and accelerating the drive to bring the fusion energy that powers the stars to Earth: Ten (and a triple bonus!) Must-Read Stories of 2019 from PPPL
PPPL scientists have found that sprinkling a type of powder into fusion plasma could aid in harnessing the ultra-hot gas within a tokamak facility to produce heat to create electricity without producing greenhouse gases or long-term radioactive waste.
Scientists developed a new model to describe how large, periodic bursts of plasma known as edge localized modes (ELMs) erode parts of tokamak walls. Tokamaks are devices used to study the process of fusion.
Researchers from TAE Technologies used the Argonne Leadership Computing Facility to support their fusion research. The company is working to develop the world’s first fusion device that can generate electricity and is commercially viable.
Lawrence Livermore National Laboratory (LLNL) physicist Denise Hinkel was elected vice chair of the American Physical Society (APS) Division of Plasma Physics (DPP) during the annual meeting Oct. 21.
Feature profiles PPPL Distinguished Engineering Fellow recipient Alex Nagy
The SNO+ experiment has made new measurements of the lifetime of the proton. It also measured how the flow of solar neutrinos changes over time as well as the energy spectrum of those neutrinos.
Simulations show that halo currents can serve as a proxy for the total force produced by vertical disruptions.
An additively manufactured polymer layer applied to specialized plastic proved effective to protect aircraft from lightning strikes in lab test; injecting shattered argon pellets into a super-hot plasma, when needed, could protect a fusion reactor’s interior wall from runaway electrons; ORNL will celebrate the life and legacy of Dr. Liane Russell on December 20.