Researchers at the Ulsan National Institute of Science and Technology (UNIST) in South Korea have unveiled a groundbreaking collision detection algorithm, drawing inspiration from the world of video games. This innovative approach swiftly identifies the collision points of high-speed particles within virtual nuclear fusion devices, boasting a detection speed 15 times faster than conventional methods. By optimizing spatial computation efficiency, the algorithm, when integrated into the Korean V-KSTAR virtual twin system, adeptly bypasses redundant calculations and pinpoints potential risk zones with remarkable accuracy. This pioneering technology is poised to enhance the design efficiency and operational stability of next-generation nuclear fusion reactors, with potential applications extending to neutral particle beam simulators, optical path distribution optimization, and magnetic field disturbance analysis.