A large segment of the fusion community is pursuing ambitious aims, including the achievement of precise plasma control.
Currently, all active facilities rely on precalculated scenarios. Accurate real-time control poses a significant challenge.
To address this, we're developing a real-time control system using machine learning. This approach is designed to control plasma effectively, laying the groundwork for safe and efficient fusion reactors. Our team, composed of engineers and scientists supported by state-of-the-art computing resources, enables us to rapidly develop and test these innovative, machine-learning-based plasma control systems. This strategy distinguishes us by enabling more precise and efficient real-time control.
In the quest for fusion power, collaboration is key! We actively cooperate with other companies and research institutions, such as DIII-D National Fusion Facility, sharing knowledge and resources to expedite progress. Private companies, like ours, often demonstrate more flexibility and innovation, but may benefit from additional resources.
Next Step Fusion technology can complement that of other companies. Our plasma control systems are based on our bespoke simulation codes, and we are prepared to collaborate in order to enhance simulations, plasma control scenarios, and future plasma control systems.
So, we pose a question: How can we ensure effective governance and international collaboration in handling the intricate safety, regulatory, and commercialization facets of fusion energy?
We welcome your thoughts in the comments below 👉
#fusionpower #fusionenergy #machinelearning
Great to see you all. Thanks for coming to visit us at the CFS Devens Campus!