Principles
What if fusion is a control problem?
First-Principles Thinking
We rebuild problems from physical constraints, not inherited assumptions. Fusion confinement, control architectures, and fuelling strategies are treated as design variables, not fixed requirements. If the physics permits an alternative approach, we explore it without regard for how things have historically been done.
Evidence-Driven Iteration
Hypotheses live or die by data. Ideas advance only when they survive falsification, convergence testing, and independent validation. We test early using reduced-order models, then escalate to full 3D simulations when core assumptions hold. Failures are documented with the same rigor as successes; negative results constrain the solution space and accelerate progress.
Progress is driven by fast feedback loops: reduced-order models run in seconds, 3D simulations stream live telemetry, and control hypotheses are tested in hours rather than quarters. Safety-critical decisions remain gated behind evidence, but iteration speed comes from staged complexity and in-run diagnostics.
Safety and Control
Control authority and fault tolerance are built into the architecture from the beginning, not added later. Loss of synchronization results in loss of burn, not loss of control. Failure modes are intrinsically bounded and non-violent by design. The system does not depend on maintaining a marginally stable equilibrium. If phase alignment fails, the burn wave decays naturally and the system resets.