# AI-Assisted Fusion **Entity class:** Technology field **Domain:** Fusion energy / Artificial intelligence **Maturity:** Developed ## Definition AI-assisted fusion applies machine learning to plasma prediction and control, materials discovery, diagnostics, simulation, facility operation, and experimental planning. ## Mechanism and significance It can accelerate the path to useful reactors without erasing the physical requirements of sustained net energy, maintainability, fuel supply, and economical construction. ## Relationships - **Research dossier:** [[research/ASI and RSI Timeline Research Moonshots|ASI and RSI Timeline Research Moonshots]] - **Ontology route:** [[ASI and RSI Timeline Ontology#Physical Intelligence and Scientific Infrastructure|Physical Intelligence and Scientific Infrastructure]] - **Primary fields:** [[Physical AI]] · [[AI Infrastructure]] · [[AI Superpower]] - **Adjacent concepts:** [[Molecular Design]] · [[Tokamak Plasma Control]] · [[Quantum Gravity]] · [[Dyson Sphere]] ## Sources and provenance - [[research/ASI and RSI Timeline Research Moonshots|ASI and RSI Timeline Research Moonshots]] — immediate source for this node's role in the broadcast research map. ## Evidence boundary The research dossier establishes why this entity or concept belongs in the Moonshots ontology. Time-sensitive organizational, product, policy, and performance claims should be checked against the linked primary source or a current authoritative source before reuse as settled fact.