Yangkun Chen
Papers
1
Total Citations
15
H-Index
1
About
Dr. Yangkun Chen is a leading researcher at the intersection of artificial intelligence and nuclear energy systems, with a primary focus on applying reinforcement learning to enhance the safety, efficiency, and autonomy of nuclear power plants (NPPs). His seminal work, "Possibilities of reinforcement learning for nuclear power plants: Evidence on current applications and beyond" (2024), has already garnered 15 citations, establishing a foundational framework for integrating advanced machine learning techniques into complex nuclear operations. Chen’s major contribution lies in systematically mapping how reinforcement learning can optimize control systems, predictive maintenance, and emergency response protocols within NPPs—addressing critical challenges in this high-stakes domain. By bridging the gap between cutting-edge AI and traditional nuclear engineering, his research offers a roadmap for reducing human error and improving operational resilience. Beyond this flagship paper, Chen continues to explore autonomous decision-making in complex system engineering, positioning him as a pivotal figure in the digital transformation of the nuclear industry. His work not only advances academic knowledge but also holds transformative potential for the sustainable and safe expansion of nuclear energy in the 21st century.
Research Focus
Key Achievements
Top Papers
- 1