AI赋能核聚变离不开生态融合

Core Insights - The integration of artificial intelligence (AI) is significantly empowering fusion research, aiming to reshape the ecosystem of nuclear fusion studies through deep collaboration among academia, industry, and policy [1][4] - Nuclear fusion, often referred to as the "artificial sun," simulates the energy release mechanism of the sun, requiring extreme conditions to fuse light atomic nuclei into heavier ones, thus providing a virtually limitless energy source [1][2] Group 1: Current Developments in Fusion Research - The International Thermonuclear Experimental Reactor (ITER) project involves resources from 35 countries globally, while China's Experimental Advanced Superconducting Tokamak (EAST) collaborates with ITER, creating an innovative network covering approximately 70 countries and over 150 research institutions [2] - China's "Circulation Three" project is set to open for international collaboration by the end of 2023, with the first round of joint experiments in 2024 attracting participation from 17 global institutions, research institutes, and universities [2] Group 2: AI's Role in Fusion Research - AI has demonstrated significant advantages in handling complex data related to nuclear fusion, enabling precise predictions and intelligent control, transforming plasma data analysis from "hours of modeling" to "milliseconds for solutions" [3] - The introduction of AI allows for 300 milliseconds of advance prediction, effectively preventing interruptions in fusion reactions due to plasma instability, a feat traditional commercial software cannot achieve [3] - AI models can integrate specialized knowledge, expert experience, and experimental records, potentially leading to the establishment of a cross-device database, fundamentally revolutionizing fusion research paradigms [3] Group 3: Future Implications - The deepening integration of AI and fusion research is expected to pave the way for an open-source ecosystem, breaking down data barriers and enhancing resource integration to lower research and development risks [3] - This collaboration will also reduce the marginal costs of knowledge integration, promoting cross-disciplinary cooperation and accelerating the fusion research process [3][4] - The combination of AI and nuclear fusion represents a pinnacle challenge in science and engineering, serving as a test of human collaborative intelligence [3][4]