DOE Introduces STELLAR-AI to Revolutionize Fusion Energy Research
The U.S. Department of Energy (DOE) has introduced an innovative project named STELLAR-AI, aimed at transforming fusion energy research. Utilizing artificial intelligence and high-performance computing, the initiative seeks to propel the development of commercially viable fusion energy systems.
Overview of STELLAR-AI
Officially titled Simulation, Technology, and Experiment Leveraging Learning-Accelerated Research enabled by AI, STELLAR-AI is designed to integrate high-fidelity computer simulations with cutting-edge experimental technologies. This integration will enable real-time data analysis, significantly enhancing research capabilities.
Leadership and Objectives
The Princeton Plasma Physics Laboratory (PPPL), a national laboratory under the DOE, will spearhead the STELLAR-AI initiative. According to Jonathan Menard, PPPL’s deputy director for research, AI and high-performance computing are essential for optimizing designs for economic construction and operation of fusion systems. As part of the project, PPPL will leverage its National Spherical Torus Experiment-Upgrade (NSTX-U), a large spherical tokamak, to identify ideal conditions for fuel, measurement, and control tools, aiming to develop a prototype for commercial fusion power.
Creating a Digital Twin
STELLAR-AI will utilize AI to create a digital twin of the NSTX-U. This model will facilitate advancements in developing a fusion pilot plant, which is a crucial step towards harnessing fusion energy commercially.
The Genesis Mission Connection
STELLAR-AI is aligned with the Genesis Mission, a national initiative promoted by President Donald Trump through a November executive order. This mission focuses on leveraging AI to accelerate scientific discovery across multiple fields. Shantenu Jha, head of PPPL’s Computational Sciences Department, emphasized that while Genesis lays the broad groundwork, STELLAR-AI specifically contributes to fusion with unique computer codes and scientific models.
Conclusion
By integrating advanced simulations and experimental technologies, STELLAR-AI represents a significant leap forward in fusion energy research. As this initiative unfolds, it promises to enhance the United States’ position in the quest for sustainable and commercially viable fusion energy solutions.
