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Google DeepMind partners with Commonwealth Fusion Systems to optimise and control the SPARC tokamak with AI

★★★scienceGoogle DeepMindCommonwealth Fusion Systemsconfidence: high

DeepMind announced a research partnership with Commonwealth Fusion Systems (CFS) for CFS's SPARC tokamak, which aims to be the first magnetic-confinement device to produce net fusion energy. The work uses DeepMind's open-source JAX plasma simulator TORAX, RL and evolutionary search to find high-output operating scenarios, and RL controllers for real-time tasks such as spreading exhaust heat on the reactor wall. Google is also an investor in CFS.

Key facts

Science result

Field
physics / plasma physics / fusion energy
Problem
Operating and controlling SPARC to reach net fusion energy (Q > 1)
Result
Partnership and tooling announced; no fusion result yet.
AI system
TORAX, reinforcement learning agents
Human role
Human-led with AI tools
Verification
Not applicable (partnership announcement)
Status
pending

What happened

DeepMind and CFS said they would use AI to plan and run SPARC's plasma campaigns before the machine reaches full power, with TORAX as the shared simulation layer.

Why it matters

It moves AI plasma control from academic demos (TCV, DIII-D) into the commissioning plan of a privately built machine that aims for net energy.

Changelog

  • 2026-09-29: created

Related events

  1. Deep reinforcement learning controls fusion plasma in the TCV tokamak ★★★★
  2. AI controller predicts and avoids tearing instabilities in the DIII-D fusion reactor ★★★
  3. PPPL's PACMAN framework lets multiple AI models control a tokamak in ~20 ms, preventing a tearing mode ★★

Sources (2)

id: 2025-10-16-deepmind-cfs-torax-fusion · updated 2026-09-29 · open in the interactive timeline