Blending Fusion Science, AI to Predict DIII-D Tokamak Behavior
This story is only covered by news sources that have yet to be evaluated by the independent media monitoring agencies we use to assess the quality and reliability of news outlets on our platform. Learn more here.4 Articles
4 Articles
Future fusion plants aim to recreate the heart of a star here on Earth to meet our future energy needs. As the fusion plasma of the nucleus burns to hundreds of millions of degrees, the surrounding structural components must withstand sudden and challenging thermal loads that compete with temperatures [...]
Artificial intelligence (IA) and machine learning (ML) are becoming key technologies for predictive maintenance (PM) in the electrical sector. These tools allow energy companies to know the normal operating behavior of critical network assets and identify early signs of deterioration. Related:Artificial intelligence and the future of the energy sectorThrough continuous analysis of operational and sensor data, these technologies detect anomalies …
Blending Fusion Science, AI to Predict DIII-D Tokamak Behavior
Data scientists from the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility and partner institutions have developed a deployable machine learning (ML) framework that can adaptively predict changes in a magnetic confinement fusion research machine’s hardware. The innovative method, recently published in the journal Machine Learning with Applications, promises to help make the operation of fusion devices more stable and accelerate humanity’s pursuit of a superabundant
Coverage Details
Bias Distribution
- There is no tracked Bias information for the sources covering this story.
Factuality
To view factuality data please Upgrade to Premium
