{"topic":{"slug":"magnetic-fusion","name":"Magnetic Confinement Fusion","domain":"energy","description":"Tokamaks and stellarators, ITER, compact high-field devices, plasma confinement records and machine-learning plasma control.","keywords":["tokamak","stellarator","magnetic confinement","plasma confinement","high-field","ITER","disruption"],"paper_count":249,"latest_published":"2026-10-29","url":"https://space-kitty.com/topics/magnetic-fusion","api_url":"https://space-kitty.com/api/v1/topics/magnetic-fusion"},"dossier":{"slug":"magnetic-fusion","topic":"magnetic-fusion","title":"Magnetic Confinement Fusion: State of the Field (October 2026)","summary":"Tokamaks and stellarators are the main routes to fusion power based on magnetic confinement. This dossier reviews confinement regimes, edge and disruption control, stellarator optimization, plasma-facing materials, machine-learning control and results from long-pulse, high-density and deuterium-tritium experiments through 2025, with 2026 preprints flagged. The central takeaway is that key capabilities have been shown in separate devices, while integrated burning-plasma performance remains a future goal.","version":1,"published_at":"2026-10-30","updated_at":"2026-10-30","stats":{"words":4416,"citations":65,"claims":28,"timeline":15,"benchmarks":12,"open_problems":9,"key_papers":13,"glossary":17},"verification":{"status":"verified","method":"automated figure and citation-relevance triage against cited abstracts, targeted AI review with web checks of flagged statements, and an editorial close-out; automated citation resolution","claims_checked":28,"issues_fixed":1,"verified_at":"2026-10-30","notes":["Coverage gap (not an error): EAST's January 2025 1,066-second H-mode discharge is not yet covered; the dossier does not present an older result as the current record."]},"ai_assisted":true,"price":{"usd":"0.20","protocol":"x402","network":"eip155:84532","asset":"USDC"},"url":"https://space-kitty.com/dossiers/magnetic-fusion","preview_url":"https://space-kitty.com/api/v1/dossiers/magnetic-fusion/preview","purchase_url":"https://space-kitty.com/api/v1/dossiers/magnetic-fusion"},"top_papers":[{"id":"doi:10.1038/s41586-021-04301-9","kind":"article","title":"Magnetic control of tokamak plasmas through deep reinforcement learning","authors":["Jonas Degrave","Federico Felici","Jonas Buchli","Michael Neunert","Brendan Tracey","F. 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