Recent research published in the journal ‘Nuclear Fusion’ has shed light on the complex dynamics of turbulence in the divertor region of tokamaks, a crucial area for the successful operation of fusion reactors. The study, led by C. Wüthrich from the
New Study Reveals Key Insights into Turbulence for Fusion Reactor Efficiency Read More »
In a groundbreaking development for the field of fusion energy, researchers have harnessed the power of machine learning to enhance the understanding and control of turbulent transport in plasma. This innovative research, led by H. Li from the Key La
Machine Learning Breakthrough Enhances Plasma Control for Fusion Energy Read More »
In a groundbreaking study published in ‘Scientific Reports,’ researchers have harnessed the power of machine learning to revolutionize the way we understand and track turbulent structures in plasma fusion devices. Led by Sarah Chouchene from the
Machine Learning Breakthrough Enhances Plasma Tracking for Fusion Energy Read More »
In a significant advancement for the nuclear fusion sector, researchers have unveiled a machine learning framework that could revolutionize the design and longevity of in-vessel components critical to fusion reactors. Led by Bin Zhu from the School o
Machine Learning Breakthrough Promises Longer-Lasting Fusion Reactor Parts Read More »
In a significant advancement for nuclear fusion technology, researchers at the Korea Atomic Energy Research Institute (KAERI) have conducted a comprehensive safety analysis of the Helium Cooled Ceramic Reflector (HCCR) blanket, a critical component i
KAERI’s Safety Analysis of HCCR Blanket Paves Way for Fusion Reliability Read More »
Recent advancements in nuclear fusion technology are paving the way for more efficient energy sources, and a new study sheds light on a critical component of this journey: the ion cyclotron resonance heating (ICRH) antenna for the China Fusion Engine
Study Reveals Critical Insights for Enhancing Fusion Reactor Safety Read More »
In a groundbreaking study published in ‘Nuclear Engineering and Technology’, researchers are redefining the landscape of plasma transport simulations in nuclear fusion reactors, specifically tokamaks. The traditional method, known as the finite diffe
Revolutionary Neural Networks Transform Plasma Simulations for Fusion Energy Read More »
Recent research published in the journal ‘Nuclear Fusion’ sheds light on a critical challenge facing tokamak devices—the reduction of plasma self-driven current due to magnetic island perturbations. This phenomenon could have significant implications
Princeton Study Reveals Key Challenges for Large Tokamaks in Fusion Energy Read More »
A groundbreaking study from researchers at the University of Science and Technology of China and the Institute of Plasma Physics has unveiled a pivotal mechanism for controlling tungsten impurities in plasma, a crucial factor for the success of fusio
Breakthrough Study Reveals Key to Managing Tungsten in Fusion Reactors Read More »
Recent research led by Bodhi Biswas from the York Plasma Institute at the University of York has made significant strides in understanding how Electron Bernstein Waves (EBWs) can be harnessed to drive current in the next generation of spherical tokam
Breakthrough Research Enhances Electron Bernstein Waves for Fusion Energy Read More »
