Researchers used computer simulations to study the behavior of exhaust particles in tokamaks. They found that the toroidal rotation of plasma plays a key role in determining where particles land in the machine's exhaust system. This discovery could help engineers design divertors better equipped to handle intense heat.
The new platform, led by PPPL, aims to speed up simulations needed to advance fusion energy research. STELLAR-AI will integrate CPUs, GPUs, and QPUs to tackle the challenges of private fusion companies, enabling faster design and optimization of stellarator devices.
Jessica Eskew, a PhD student in Auburn Physics, has been awarded a highly competitive SCGSR Fellowship to conduct fusion energy research at DIII-D. Her research focuses on runaway electrons, which can damage fusion devices if uncontrolled. Eskew will collaborate with experts in energetic particle physics and plasma control.
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The Princeton Plasma Physics Laboratory has partnered with Japan and Europe on the world's largest fusion machine, JT-60SA. The U.S. lab will provide an advanced measurement tool, XICS, to help scientists better understand and control the plasma inside the machine.
Scientists at MIT developed a method to predict how plasma in a tokamak will behave during rampdown, achieving high accuracy with limited data. This new model could significantly improve the safety and reliability of future fusion power plants.
Researchers have developed a new AI approach called HEAT-ML that accelerates calculations of magnetic shadows in fusion vessels, enabling faster design and operation. This breakthrough could lead to significant improvements in fusion power generation and potentially limitless clean energy.
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A global collaboration found that co-deposition is the dominant driver of fuel retention in lithium walls, and adding lithium during operation is more effective than pre-coating. The study offers insights into managing tritium, a rare fusion fuel, and improving plasma stability.
PPPL's Jack Berkery is heading to Japan as a Fulbright Specialist to share research on spherical tokamaks and strengthen ties with Kyushu University. He will present PPPL research at the Asia-Pacific Conference on Plasma Physics, focusing on spherical tokamaks and their preparations for NSTX-U's next phase of operations.
The world's largest and most powerful stellarator, Wendelstein 7-X, achieved a new world record for the triple product in long plasma discharges, sustaining a peak value for 43 seconds. This milestone marks a significant step toward developing a power-plant-capable stellarator.
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ITER has completed its pulsed superconducting electromagnet system, the largest and most powerful in the world, with significant contributions from USA, Russia, Europe, and China. The system is expected to produce a tenfold energy gain and demonstrate the viability of fusion as an abundant, safe, carbon-free energy source.
A team of researchers used computer code M3D-C1 to model different valve configurations and found that six gas valves provide optimal protection for rapidly dispersing cooling gas. The study's findings will help bring fusion power closer to reality by advancing disruption mitigation strategies.
Three PPPL researchers, Frances Kraus, Jason Parisi, and Willca Villafana, are recognized for their innovative contributions to plasma physics. Their work covers various areas, including high-temperature fusion plasmas and low-temperature plasma simulations.
The SMART device has successfully generated its first tokamak plasma, bringing international fusion community closer to achieving sustainable and clean energy. The achievement represents a major step towards the development of compact fusion power plants based on Spherical Tokamaks.
Researchers at Princeton Plasma Physics Laboratory have developed a technique to prevent unwanted waves that siphon off needed energy, increasing the efficiency of fusion reactions. Positioning a metal grate at a slight angle enhances heat put into the plasma and reduces slow modes, leading to more powerful and efficient fusion heating.
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Researchers at Seoul National University have clarified the mechanism behind runaway electrons generated during tokamak fusion reactor startup. The binary nature of collisions facilitates runaway electron generation, addressing a theoretical bottleneck in fusion reactor design.
Brian Leard, a PhD student at Lehigh University, has been awarded a prestigious DOE grant to conduct research at the DIII-D National Fusion Facility. He aims to develop simulation codes that can optimize actuator operation and improve the accuracy of plasma physics predictions.
Researchers at PPPL have found that adding boron powder to a tokamak's plasma can shield the wall from tungsten atoms, preventing cooling and sustaining fusion reactions. Computer modeling suggests the powder may only need to be sprinkled from one location for effective distribution.
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The SMall Aspect Ratio Tokamak (SMART) is a compact spherical tokamak that benefits from PPPL computer codes and expertise in magnetics and sensor systems. Negative triangularity is expected to offer enhanced performance by suppressing instabilities and preventing damage to the tokamak wall.
Scientists at PPPL envision a hot region with flowing liquid metal that protects the inside of the tokamak from intense heat. The new simulations reflect additional information, including collisions between neutral particles, and determine the best location for the lithium vapor cave is near the bottom of the tokamak by the center stack.
Scientists at DOE's Princeton Plasma Physics Laboratory and Kyushu University in Japan have proposed a design for a compact, spherical fusion pilot plant that heats plasma using only microwaves. The new approach eliminates ohmic heating, freeing up space and potentially making the vessel cheaper to build.
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Researchers at PPPL have found a new mechanism that reduces the risk of damage to tokamak vessels by spreading exhaust heat across a larger area. The discovery challenges previous assumptions about plasma turbulence and its impact on the vessel's performance.
A team of researchers from Princeton University and the US Department of Energy's PPPL have successfully deployed machine learning methods to suppress harmful edge instabilities in fusion devices. Their approach optimizes the system's suppression response in real-time, maintaining high plasma performance without sacrificing stability.
A new model refines understanding of plasma edge stability, impacting commercial fusion power. The 'apple' shape tokamaks show greater stability than traditional donut-shaped ones.
Researchers found that a photon's polarization is topological, meaning it doesn't change as it moves through materials and environments. This property can help design better light beams for heating and measuring plasma, which could increase fusion efficiency.
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PPPL researchers utilize machine learning to perfect plasma vessel design, optimize heating methods, and maintain stable control of fusion reactions. The team achieves significant results by predicting disruptions and adjusting settings before instabilities occur, enabling high-confinement modes in tokamaks.
Scientists at Princeton Plasma Physics Laboratory successfully simulate a novel combination method for managing fusion plasma. By combining electron cyclotron current drive (ECCD) and resonant magnetic perturbations (RMP), researchers can create a more stable plasma edge, reducing the amount of current required to generate RMPs.
Researchers successfully enhanced plasma stability in a fusion reaction by utilizing weaknesses in magnetic fields to confine the reaction. This approach, validated through experiments at KSTAR tokamak, improves simultaneous control of instabilities in the core and edge of the plasma.
A Princeton University team developed an AI model that can forecast potential plasma instabilities up to 300 milliseconds in advance, allowing for real-time adjustments to avoid reaction-ending escapes. The model uses past experimental data and demonstrates a promising approach to solving a broad range of plasma instabilities.
JET's final deuterium-tritium experiments demonstrated high fusion power consistently produced for 5 seconds, setting a world-record of 69 megajoules using 0.2 milligrams of fuel. The facility has reliably created fusion plasmas with the same fuel mixture as commercial fusion energy powerplants.
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The Lehigh University Plasma Control Group is working on advanced controls and machine learning to improve plasma dynamics simulation capabilities and stabilize superheated gases in future reactors. The goal is to address technological issues with ITER and FPP, ensuring safe and controllable operation.
A two-day workshop hosted by PPPL discussed the risks and benefits of fusion energy, including concerns about nuclear proliferation and energy justice. Experts emphasized the need for open discussion and regulation to ensure safe and equitable deployment of fusion power.
Researchers at the University of Rochester have created a nitrogen-doped lutetium hydride that exhibits superconductivity at 69 degrees Fahrenheit and 10 kilobars of pressure. This breakthrough material has the potential to enable practical applications, as it reduces the required pressure for superconductivity to occur.
A team of Japanese researchers discovered that adding neon to a hydrogen ice pellet can cool the plasma more effectively, reducing pressure and preventing ejection. This breakthrough contributes to establishing plasma control technologies for future fusion reactors.
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Lehigh University has received nearly $1.75 million in funding from the US Department of Energy to support fusion energy research, specifically for ITER's long-pulse scenarios. The project aims to prepare ITER for operation and address critical research questions related to plasma control.
The Princeton Plasma Physics Laboratory (PPPL) has received over $12 million in funding from the US Department of Energy to speed up the development of a pilot plant powered by fusion energy. This initiative aims to accelerate the production of clean and abundant electricity, a crucial step towards mitigating climate change.
Researchers used machine learning to track turbulent structures in fusion reactors, gaining detailed information on their behavior and heat flows. The approach enables more accurate engineering requirements for reactor walls and could lead to improved energy efficiency.
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A research team has found a novel operating regime that prevents destructive plasma instabilities in fusion reactors, allowing for the controlled injection of particles at the plasma edge. This approach could lead to a more stable and efficient fusion reactor design.
Researchers at Princeton Plasma Physics Laboratory have successfully applied boron powder to tungsten components in tokamaks, improving plasma confinement and reducing the risk of edge-localized modes. The innovative approach uses a PPPL-developed powder dropper to deposit boron coatings while minimizing disruptions to the magnetic field.
Researchers have discovered that resistivity can cause instabilities in plasma edge, making it more stable when included in models. The study aims to design systems for future fusion facilities with improved plasma stability.
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Researchers at PPPL have discovered a mechanism that causes the temperature to flatten or even decrease in the center of the plasma, despite increased heating power. This finding addresses a long-standing mystery and has significant implications for fusion research and development.
Recent simulations using Gkeyll reveal that neutral particles significantly impact plasma density, temperature, and flow levels in the scrape-off layer region of tokamaks. The inclusion of neutrals leads to reduced plasma fluctuations and slower blob motion.
A new coil design could mitigate disruption-driven runaway electrons in tokamaks. The SPARC team's innovative coil structure addresses the threat by introducing a non-axisymmetric perturbation that spoils confinement and protects the machine.
Research has shown steady progress toward achieving large energy gain in fusion reactions, a crucial milestone for commercial fusion energy. Recent advancements in laser-driven devices and lower-cost private concepts have significantly increased performance thresholds, surpassing early tokamak designs.
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Thermal quenches in fusion devices occur when high-energy electrons escape from the core and fly toward the wall, causing a rapid drop in electron temperature. The researchers propose an analytic model of plasma transport that provides new physical insights into the complex topology of 3-D magnetic field lines.
Scientists at PPPL have developed a new technique to design powerful magnets for tokamaks using stellarator computer code, enabling more efficient confinement and control of plasma. This innovation can aid the construction of fusion facilities by compensating for imprecision and suppressing plasma instabilities.
The US Department of Energy has awarded $2.1 million to PPPL for three public-private fusion energy partnerships. These collaborations will bring together PPPL researchers with Microsoft, Commonwealth Fusion Systems, and TAE Technologies to develop innovative solutions using AI, computer codes, and novel superconductors.
Researchers achieved stable partial energy detachment and suppressed material sputtering using Ar and Ne seeding. The study provides a feasible experiment program for maintaining steady-state plasma under high-power long-pulse conditions.
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Researchers have developed a method called 'quasi-symmetry' that can minimize the negative effects of magnetic field errors in fusion reactors, improving stability and energy confinement. This breakthrough could accelerate the development of fusion energy as a safe and limitless source of power.
The DOE/Princeton Plasma Physics Laboratory has predicted a far larger and less damaging heat-load width for the full-power operation of ITER, contradicting previous estimates. The new formula produces a forecast that is over six-times wider than those developed by simple extrapolation.
Researchers at Peter the Great St.Petersburg Polytechnic University confirmed theoretical predictions about energy flow in the ITER reactor through experiments on two tokamaks. They discovered a new type of electric current that affects the scrape-off layer of the edge plasma.
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The Lehigh University's Plasma Control Group has been awarded a $1.5 million DOE grant to investigate the spherical tokamak concept and design more efficient fusion reactors. The team will focus on understanding plasma dynamics and developing advanced control systems to regulate plasmas in closed loops.
Researchers at Max-Planck-Institut für Plasmaphysik (IPP) have successfully simulated plasma edge instabilities in tokamaks, revealing trigger and course of instability. The simulation matches experimentally observed values, providing a crucial step towards predicting and avoiding ELM instabilities in future fusion devices.
Researchers developed a technique to forecast how tokamaks might respond to magnetic errors, which can disrupt fusion reactions. This forecasts could help engineers design fusion facilities that efficiently create a virtually inexhaustible supply of safe and clean fusion energy.
Two new collaborations aim to capture and control fusion energy, which powers the sun and stars. The partnerships bring together experts from PPPL and private companies Tokamak Energy and General Fusion to advance efforts in modeling and stability.
Scientists at Princeton Plasma Physics Laboratory discover a network of interacting waves that plays a key role in triggering edge localized modes (ELMs) in fusion facilities. The findings provide new insights into the ELMs process and may help tame potentially damaging processes.
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Researchers at DOE's Princeton Plasma Physics Laboratory have developed a model that accurately reproduces the conditions for ELM suppression in the DIII-D National Fusion Facility. The model predicts wider operational flexibility for tokamaks, enabling enhanced fusion reactor operation and expanding the capabilities of fusion devices.
Researchers at PPPL discovered a phenomenon that causes vital heat to be lost from tokamaks, which could hinder the operation of fusion devices. The study reveals new insights into how chirping forms and how it affects plasma movement.
Scientists at DOE's Princeton Plasma Physics Laboratory develop a control scheme to optimize magnetic field levels, suppressing edge localized modes (ELMs) and maximizing fusion power. The technique uses real-time control to regulate plasma stability, aiming for stable ELM suppression and high fusion performance.
Researchers have discovered a surprising correlation between blobs of turbulence at the edge of fusion plasas and magnetic field fluctuations. This link could help improve the efficiency of fusion reactions, paving the way for clean and virtually limitless energy.
An international team of scientists used AI to predict disruptions in fusion reactions, avoiding energy release and damage to facilities. The algorithm was trained on thousands of experiments and successfully forecasted disruptions in real-time.
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