New York General Group Nuclear Fusion Center (NYGGNFC)
About New York General Group Nuclear Fusion Center (NYGGNFC)
The New York General Group Nuclear Fusion Center (NYGGNFC) is an international research hub dedicated to advancing the frontiers of energy technology, with a primary focus on nuclear fusion. Our defining strength lies in the implementation and application of Categorical AI—a cutting-edge artificial intelligence framework grounded in Category Theory.
Category Theory provides a powerful mathematical framework for structural abstraction, enabling a unified description of relationships across complex systems. When applied to AI, this foundation allows Categorical AI to deliver unparalleled capabilities in the field of nuclear fusion research.
1. High-Precision Plasma Simulation
• Describing complex plasma physics through nonlinear partial differential equation (PDE) systems
• Integrating multi-scale phenomena that span different spatial and temporal domains
• Enhancing predictive accuracy via high-fidelity correlation with experimental data
2. Materials Design and Optimization
• Combining first-principles calculations with machine learning models for hybrid analysis
• Predicting long-term material degradation under extreme high-temperature and high-radiation conditions
• Efficiently sampling vast search spaces to identify novel candidate materials
• Achieving multi-parameter optimization considering structural, thermal, and radiation resistance simultaneously
White Papers
All these white papers were created by our "Categorical AI."
Case1:
ADAPTIVE MULTI-ZONE STABILIZATION TOKAMAK (AMZST) FOR ENHANCED NUCLEAR FUSION CONTROL
Case 2:
Case 3:
Case 4 (Patent Filing in Japan):
核融合炉ダイバータ用改良型ヘリカルナット冷却システム (特願2025-060194)
Case 5 (Patent Filing in Japan):
適応型ダイバータ-リミッタハイブリッドシステムを備えたトカマク型核融合炉 (特願 2025-062826)
Case 6 (Patent Filing in Japan):
トカマク型核融合炉用適応型エッジ局在3D磁場制御システム (特願2025-057034)