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    • 2018-11-12 13:05:16
    • Article ID: 703824

    From the Cosmos to Fusion Plasmas, PPPL Presents Findings at Global APS Gathering

    • Credit: Image courtesy of Derek M. H. Hung.

      Still of superimposed videos of the mass/spring experiment described in, “A key step toward understanding the development of heavenly bodies.” In the videos, the untethered sphere moves farthest from the center post and closest to the edge. However, when the angular momentum is calculated in each case, the weakly-tethered mass gains angular momentum and becomes relatively unstable while the untethered one does not.

    • Credit: Image courtesy of Derek M. H. Hung.

      Still of superimposed videos of the mass/spring experiment described in, “A key step toward understanding the development of heavenly bodies.” In the videos, the untethered sphere moves farthest from the center post and closest to the edge. However, when the angular momentum is calculated in each case, the weakly-tethered mass gains angular momentum and becomes relatively unstable while the untethered one does not.

    More than 135 researchers and students from the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) presented their latest findings at the 60th annual meeting of the American Physical Society Division of Plasma Physics — a worldwide gathering focused on fundamental plasma science research and discoveries. Some 1,700 participants from more than two dozen countries joined the November 5-to-9 event in Portland, Oregon, presenting posters and talks on topics ranging from astrophysical plasmas to nanotechnology to magnetic confinement fusion experiments. Included among PPPL staffers were members of the Science Education Department who presented their work focused on workforce development and diversity, and chaired this year’s Education and Public Outreach Committee that organized events ranging from a plasma science teachers day to a plasma science expo for students and the general public.

    Among PPPL presenters was Seth Davidovits, a 2017 graduate of the Program in Plasma Physics in the Princeton University Department of Astrophysical Sciences, who spoke as winner of the Marshall N. Rosenbluth Outstanding Doctoral Thesis Award for his dissertation on the theory and simulation of turbulence in suppressing fluids. Davidovits is now a post-doctoral research fellow at Princeton and PPPL.

    Invited talks by PPPL scientists covered topics ranging from the formation of stars and planets to the development of computer codes for predicting and avoiding disruptions of fusion plasmas. These talks included the following:

    Developing a path to stable tokamak operation

    Among the hurdles to capturing and controlling the power of fusion that drives the sun and stars is the risk of disruption of plasma, the hot, charged state of matter composed of free electrons and atomic nuclei that fuels fusion reactions. Disruptions can halt the reactions and damage the doughnut-shaped devices called tokamaks that confine the plasma in magnetic fields. Operators of tokamaks must therefore develop real-time control of plasma instabilities that can lead to disruptions while pushing plasma toward the best possible performance.

    Physicists at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) and Princeton University, headed by Egemen Kolemen of PPPL and Princeton, have conducted real-time analyses that predict approaching disruptions and reduce instabilities while maintaining high performance. Such performance, called “high beta,” is the ratio of plasma pressure — a key ingredient in fusion reactions — to the confining magnetic field. The higher the ratio, signifying the creation of relatively high pressure with relatively low magnetic fields, the better the confinement and control of the plasma and its ability to create fusion.

    The real-time analyses employed both physics-based and machine learning computer programs, or algorithms, that the researchers developed. The first type uses physics first-principles while the second uses data gleaned from previous experiments. The physicists used both types to control plasma experiments on the DIII-D National Fusion Facility, a DOE Office of Science user facility operated by General Atomics in San Diego, California.

    The physics-based analysis detected growing instabilities prior to disruptions thousands of times faster than a statistical Monte Carlo approach. The analysis showed that plasma becomes “touchy” and produces minor variations in equilibrium before an instability called a “tearing mode” that can lead to disruptions sets in.

    However, the physics-based algorithms could accomplish only so much. So researchers applied data-driven machine learning techniques that utilized two-to-three years of DIII-D instabilities and disruptions. The best machine learning algorithms then predicted DIII-D disruptions more than 90 percent of the time. “Taken together, the two algorithms proved that accurate prediction of instabilities could better enable the stabilization of high-performance plasmas without leading to disruptions,” Kolemen said. Support for this work comes from the DOE Office of Science.

    A key step toward understanding the development of heavenly bodies

    The cosmos is a void dotted with stars and an ever-increasing number of newly-observed planets discovered beyond our solar system. However, the formation of these stars and planets out of clouds of interstellar dust and gas remains mysterious.

    The study of black holes provides clues to the solution of this mystery. Illustrations of black holes typically depict them as vacuum cleaners sucking up all matter and light. In reality, clouds of dust and gas called accretion disks swirl around black holes, gradually moving closer and closer until they are trapped by the black holes and fall into them. Experiments led by researchers studying the Magnetorotational Instability (MRI) at PPPL help verify one of the proposed models for how this process works.

    Typical orbits, such as those that planets carve around our sun, continue for billions of years because their angular momentum — the conservation of which causes ice skaters to spin faster when pulling in their arms — prevents the planets from falling into the sun. In an accretion disk, forces such as friction can cause objects to lose their angular momentum but are insufficient to explain how quickly matter falls into the body that the disk orbits. MRI can provide an explanation.

    One of the experiments at PPPL simulates this process using a unique rotating water-filled device. Video is recorded of a water-filled red plastic ball as it moves away from the center of the device. A spring in the experiment connects the ball to a post to simulate magnetic forces. Position measurements of the ball indicate that the behavior of its angular momentum is consistent with the MRI predictions of developments in a real accretion disk.

    Researchers are now conducting experiments using spinning liquid metals to study what happens in accretion disks with actual magnetic fields present. The experiments confirm how strongly the magnetic field affects the metal and pave the way toward a clear understanding of the role the fields play in accretion disks. The combined results mark a significant step toward a more complete explanation of the development of heavenly bodies. Support for this research comes from sources including the DOE Office of Science, the National Science Foundation, and NASA.

    Twist and turn: A new understanding of the rotation of fusion plasma

    Direct measurement of the main-ion velocity in fusion plasmas provides insight into the turbulent transport of momentum and the mechanisms that generate plasma rotation. Understanding rotation of the main ions provides a key to validating models of turbulent momentum transport.

    Such measurements, led recently by physicist Brian Grierson of PPPL on the DIII-D National Fusion Facility at General Atomics, are distinct from the commonly measured rotation of carbon and other impurities that swirl within the plasma. The distinction, which provides improved understanding of the ability of the plasma to generate its own “intrinsic rotation,” has two principal aspects:

    First, the main-ion rotation in the outer regions of the plasma is twice the rate of the impurity rotation. This finding is consistent with the different pressure forces and the neoclassical flows between the bulk plasma and the low-concentration carbon impurity.

    Second, increasing the plasma density causes the main-ion rotation speed to evolve from a constant value across the profile, to a hollow profile, meaning that the edge of the plasma rotates faster than the center of the plasma. This difference in the shape of the rotation profile tells physicists whether the plasma is responding to a strong and large scale self-generated torque, which plays a key role in maintaining the stability of the plasma.

    If only the impurities were measured, physicists might incorrectly conclude that the plasma is generating a torque that causes the plasma rotation to peak, which would not be the case. It is therefore essential to measure the bulk — or main ion —plasma rotation when studying the intrinsic rotation of fusion plasmas.

    “Understanding how turbulence generates rotation in fusion reactors is important, because in future larger machines the ability to drive rotation with high power neutral beam injection will be relatively small,” says Wayne Solomon, deputy director of the DIII-D Program. Strong intrinsic rotation will thus be key to stable plasmas. Support for this work comes from the DOE Office of Science.

    No longer whistling in the dark

    Magnetic reconnection, the snapping apart and violent reconnection of magnetic field lines in plasma, occurs throughout the universe and can whip up space storms that disrupt cell phone service and knock out power grids. Now scientists at PPPL and other laboratories, using data from a NASA four-satellite mission that is studying reconnection, have developed a method for identifying the source of waves that help satellites determine their location in space.

    The team of researchers, led by PPPL physicist Jongsoo Yoo, have correlated magnetic field measurements taken by the Magnetospheric Multiscale (MMS) mission that is orbiting at the edge of the magnetic field that surrounds the Earth. The findings identified the source of the propagation of “whistler waves” — waves with whistle-like sounds that drop from high to low and stem from reconnection — whose detection orients the satellites relative to reconnection activity that can affect the Earth.

    The research marks development of “a new methodology for measuring how the wave propagates in reconnection,” said Yoo. The source, he said, is what are called “tail electrons” — particles with energy that is far greater than that of the bulk electrons in reconnecting field lines. “What we prove is that you couldn’t have whistler waves without the active X-line” — the central reconnection region — “so whistler waves indicate that reconnection is near,” Yoo said.

    The team now plans to investigate the development of whistler waves near the electron diffusion region, the narrow region in the magnetosphere and laboratory experiments where electrons separate from field lines before reconnection takes place. Results could prove relevant to the MMS mission, whose goals include uncovering the role that electrons play in facilitating reconnection. Support for this work comes from the DOE Office of Science, NASA, and the National Science Foundation.

    Using the right magnetic fields for the job

    As it does for a spinning top, rotation helps smooth out any wobbles or instabilities in the hot, charged plasma that fuels circular fusion devices known as tokamaks. One way to control this rotation is to create asymmetric perturbations, or ripples, in the plasma with external magnetic coils. Now physicist Nik Logan of PPPL and PPPL researchers have validated predictions of the optimal ripples for their desired “neoclassical toroidal viscosity torque” (NTV) — a fancy way of saying their effect on the rotation.

    Validation of these predictions on the DIII-D National Fusion Facility enables optimization of external coils to control the plasma rotation, a major factor in plasma stability. The ripples themselves are “non-resonant,” which means that they impact the momentum of plasma rotation but not the plasma’s density and energy. The validation allows researchers to arrange and design coils to produce the most effective 3-D perturbations from an infinite array of possibilities, which could prove beneficial to both existing and future tokamak devices. Support for this work comes from the DOE Office of Science.

    For ITER: A new way to monitor the stability of fusion plasmas

    Plasma, the soup of free-floating electrons and atomic nuclei that fuels fusion reactions, exhibits many types of behavior, or modes, when perturbed by magnetic forces in doughnut-shaped tokamaks that house the reactions. New findings led by physicist Zhirui Wang of PPPL clearly distinguish between modes and offer the potential for understanding and controlling the impact of perturbations on instabilities called edge localized modes (ELMs) and for the real-time monitoring of plasma stability.

    “Such monitoring can serve as the key to an integrated approach for disruption prediction and avoidance in future reactors such as ITER,” the international tokamak under construction in France, Wang said.

    Researchers first developed a model for extracting the dominant modes that stem from the response of plasma to externally applied 3-D magnetic fields. Some modes can suppress ELMs while others can lead to disruptions, so extracting the dominant type can be crucial for predicting disruptions.

    The physicists then validated their model with experiments on the DIII-D National Fusion Facility and on the Experimental Advanced Superconducting Tokamak (EAST) in China. In both cases, the model provided accurate descriptions of the development of modes and correctly extracted the dominant modes.

    Going forward, the findings can enable researchers to quantitatively identify the stability of dominant modes, and to predict disruptions or optimize RMPs for suppressing ELMs. “We can monitor the stability of the mode and predict at what point it becomes unstable,” Wang said. “The model has fit the experiments quite well.” Support for this work comes from the DOE Office of Science.

    An effective paradigm for characterizing and forecasting tokamak disruptions

    High-reliability disruption prediction and avoidance are critical needs for next-step tokamaks such as ITER. PPPL scientists led by Steven Sabbagh, a senior research physicist and adjunct professor at Columbia University on long-term assignment to PPPL, have developed a unique Disruption Event Characterization and Forecasting (DECAF) code.

    The code provides a unified paradigm that automates the analysis of tokamak data to determine chains of events leading to disruptions and to forecast their evolution. The approach supports a range of methods ranging from first-principles physics analysis to empirical models to provide a flexible framework for evaluating the proximity of plasma states to a disruption event.

    An expanding data base of tokamak activity in the United States, Asia, and Europe continues to be collected for the code to successfully produce insights into the forecasting of disruptions. Support for this work comes from the DOE Office of Science.

    PPPL, on Princeton University's Forrestal Campus in Plainsboro, N.J., is devoted to creating new knowledge about the physics of plasmas — ultra-hot, charged gases — and to developing practical solutions for the creation of fusion energy. The Laboratory is managed by the University for the U.S. Department of Energy’s Office of Science, which is the largest single supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit science.energy.gov (link is external).

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    The Biermann Battery Effect: Spontaneous Generation of Magnetic Fields and Their Severing

    The mechanism responsible for creating intense magnetic fields in laser-driven plasmas also helps tear the fields apart.

    Compelling Evidence for Small Drops of Perfect Fluid

    Nuclear physicists analyzing data from the PHENIX detector at the Relativistic Heavy Ion Collider (RHIC) have published additional evidence that collisions of miniscule projectiles with gold nuclei create tiny specks of the perfect fluid that filled the early universe.

    Topological Matters: Toward a New Kind of Transistor

    An experiment has demonstrated, for the first time, electronic switching in an exotic, ultrathin material that can carry a charge with nearly zero loss at room temperature. Researchers demonstrated this switching when subjecting the material to a low-current electric field.

    Experiments at PPPL show remarkable agreement with satellite sightings

    Feature describes striking similarity of laboratory research findings with observations of the four-satellite Magnetospheric Multiscale Mission that studies magnetic reconnection in space.

    New X-ray imaging approach could boost nanoscale resolution for Advanced Photon Source Upgrade

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    Two-dimensional materials skip the energy barrier by growing one row at a time

    News Release RICHLAND, Wash. -- A new collaborative study led by a research team at the Department of Energy's Pacific Northwest National Laboratory and University of California, Los Angeles could provide engineers new design rules for creating microelectronics, membranes, and tissues, and open up better production methods for new materials.

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    To understand how damage from high-energy X-rays affects imaging studies, scientists supported by the Department of Energy shot the most powerful X-ray laser in the world at a series of atoms and molecules. Surprisingly, the atoms within the molecules acted far differently than the isolated ones.

    Scientists Enter Unexplored Territory in Superconductivity Search

    Scientists mapping out the quantum characteristics of superconductors--materials that conduct electricity with no energy loss--have entered a new regime. Using newly connected tools named OASIS at Brookhaven Lab, they've uncovered previously inaccessible details of the "phase diagram" of one of the most commonly studied "high-temperature" superconductors.

    Human Exposures and Health Effects Associated with Unconventional Oil and Gas Development

    The Health Effects Institute (HEI) convened an Energy Research Committee to help ensure the protection of public health during such development. A symposium at the 2018 Society for Risk Analysis (SRA) Annual Meeting will summarize the Committee's review approach and preliminary findings and provide initial options for future research intended to fill knowledge gaps.

    Reflecting Antiferromagnetic Arrangements

    Scientists have demonstrated an x-ray imaging technique that could enable the development of smaller, faster, and more robust electronics that exploit electron spin.


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    Blast to the future

    A grant from DOE's Technology Commercialization Fund will help researchers at Argonne and industry partners seek improvements to U.S. manufacturing by making discovery and design of new materials more efficient.

    Department of Energy to Provide $24 Million for Computer-Based Materials Design

    The U.S. Department of Energy (DOE) announced plans to provide $24 million in new and renewal research awards to advance the development of sophisticated software for computer-based design of novel materials.

    Argonne scientists recognized for decades of pioneering leadership in research

    Argonne scientists Ali Erdemir and Jack Vaughey were named 2018 Fellows of the American Association for the Advancement of Science (AAAS).

    Kurfess, Smith join ORNL to lead advanced manufacturing initiatives

    Two leaders in US manufacturing innovation, Thomas Kurfess and Scott Smith, are joining the Department of Energy's Oak Ridge National Laboratory to support its pioneering research in advanced manufacturing.

    Four Berkeley Lab Scientists Named AAAS Fellows

    Four Berkeley Lab scientists - Allen Goldstein, Sung-Hou Kim, Susannah Tringe, and Katherine Yelick - have been named Fellows of the American Association for the Advancement of Science, the world's largest general scientific society.

    U.S. Department of Energy to Host Nationwide CyberForce Competition(tm) December 1

    Students from dozens of colleges/universities will participate in the U.S. Department of Energy's CyberForce Competition(tm) this weekend

    Seven ORNL researchers named 2019 INCITE award winners

    Seven researchers from the Department of Energy's Oak Ridge National Laboratory have been chosen by the Innovative and Novel Computational Impact on Theory and Experiment, also known as INCITE, program to lead scientific investigations that require the nation's most powerful computers. The ORNL-based projects span a broad range of the scientific spectrum and represent the potential of high-performance computing in ensuring America's scientific competitiveness and energy security.

    DOE Laboratories Win Gordon Bell Prize

    Two U.S. Department of Energy (DOE) National Laboratories were recently awarded the 2018 Association for Computing Machinery's (ACM's) Gordon Bell Prize.

    Department of Energy Announces 32 R&D 100 Award Winners

    DOE researchers have won 32 of the R&D 100 awards given out this year by R&D Magazine. The annual awards are given in recognition of exceptional new products or processes that were developed and introduced into the marketplace during the previous year.

    Jefferson Lab Shares 2018 R&D 100 Award for Cancer Treatment Monitoring System

    The OARtrac(r) system, built by RadiaDyne and including technologies developed by scientists at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility, has been awarded a 2018 R&D 100 Award by R&D Magazine.


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    The Biermann Battery Effect: Spontaneous Generation of Magnetic Fields and Their Severing

    The mechanism responsible for creating intense magnetic fields in laser-driven plasmas also helps tear the fields apart.

    Subtlety and the Selective Art of Separating Lanthanides

    Unexpected molecular interactions involving water clusters have a subtle, yet profound, effect on extractants picking their targets.

    Review Examines the Science and Needs of Nitrogen-Based Transformations

    Advances in biochemistry and catalysis could lead to faster, greener nitrogen-rich fertilizer.

    Quickly Capture Tiny Particles Reacting

    New method takes a snapshot every millisecond of groups of light-scattering particles, showing what happens during industrially relevant reactions.

    New Technology Consistently Identifies Proteins from a Dozen Cells

    A new platform melding microfluidics and robotics allows more in-depth bioanalysis with fewer cells than ever before.

    Optimal Foraging: How Soil Microbes Adapt to Nutrient Constraints

    How microbial communities adjust to nutrient-poor soils at the genomic and proteomic level gives scientists insights into land use.

    Microbes Eat the Same in Labs and the Desert

    Analyses of natural communities forming soil crusts agree with laboratory studies of isolated microbe-metabolite relationships.

    Diverse Biofeedstocks Have High Ethanol Yields and Offer Biorefineries Flexibility

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    Opening Access to Explore the Synthetic Chemistry of Neptunium

    New, easily prepared starting material opens access to learning more about a difficult-to-control element in nuclear waste.

    Tiny Titanium Barrier Halts Big Problem in Fuel-Producing Solar Cells

    New design coats molecular components and dramatically improves stability under tough, oxidizing conditions.


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