# Rehearsing a fusion pulse before it happens

Google DeepMind and Commonwealth Fusion Systems announced a partnership in which CFS uses the open-source TORAX plasma simulator in daily workflows to test and refine SPARC operating plans before the tokamak is turned on.

Canonical: https://brightaifuture.com/discoveries/torax-sparc-operating-plans
Format: discovery
Source publication: 2025-10-16
Bright publication: 2026-09-07
Substantive update: None recorded
Evidence and review: Emerging; confidence: unassessed; approved; ai-assisted. AI-assisted editorial comparison with the cited primary source; result, setting, source date and limitations retained. Independently checked within the research team. Publication authorized by the site owner; no human source review is claimed.

## The human problem

Fusion teams must choose operating plans that balance plasma performance with machine limits before they can learn from a new device.

## The prior constraint

Exploring many combinations of magnetic coils, fuel, heating, and heat-load constraints by hand is slow and cannot replace physical commissioning.

## AI’s actual role

TORAX is a differentiable plasma simulator that can integrate AI-powered models; the partners are investigating reinforcement learning and evolutionary search for pulse optimization and real-time control strategies.

## The documented result

CFS says TORAX has become a linchpin in its daily workflows and that it saves time setting up and running SPARC simulation environments.

## Why it may matter

Fast virtual experiments may help engineers focus on promising, constraint-aware operating plans before live testing.

## Limitations

SPARC had not yet been turned on; simulated plans do not demonstrate net fusion energy or electricity production.

The source describes collaboration and workflow use, not validated real-time control on SPARC.

## Unresolved questions

How accurately will TORAX calibrate to SPARC data?

Can proposed controllers remain safe and useful under real device disturbances and heat loads?

## Provenance and history

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## Original sources

- [Bringing AI to the next generation of fusion energy](https://deepmind.google/blog/bringing-ai-to-the-next-generation-of-fusion-energy/)

## Continue exploring

- [Energy & infrastructure](https://brightaifuture.com/worlds/energy)
- [Frontier](https://brightaifuture.com/worlds/frontier)
- [Can intelligence help make energy more abundant, reliable and responsible?](https://brightaifuture.com/threads/energy)
- [Where can human judgment go with a new instrument?](https://brightaifuture.com/threads/discovery)