Tokamak Disruption Screening Evidence Assurance
Screen synthetic or simulation plasma evidence for disruption-risk research review without claiming validated tokamak prediction or control.
Who this is for
Fusion research leads, plasma-physics teams, tokamak simulation groups and scientific-diligence reviewers who need to examine disruption-screening evidence without turning synthetic results into real-machine prediction or control claims.
The problem you already have
A simulation risk score can look like a validated machine prediction
The current evidence base is synthetic-fixture and simulation only. A bounded disruption-risk classification can support research review, but it does not validate behavior on a real tokamak and must not be promoted into a machine-level prediction claim.
Disruption evidence is weak if machine and validation boundaries disappear
Screening results need to remain tied to the supplied plasma snapshot, the agreed research case, evidence limitations and any unresolved conditions. Without those boundaries, a simulation result can be over-generalized across machines or experimental regimes that were never validated.
A research screen should not require live tokamak control or actuator authority
The assessment operates on synthetic or simulation-only evidence and does not require operational reactor credentials. Live tokamak control, plasma actuator authority and real-machine operational decisions remain with qualified machine owners.
Real-World Operational Scenario: The Disruption-Risk Case That Looked Machine-Ready Until the Simulation Boundary Was Reattached
Scenario: A synthetic plasma snapshot receives a high disruption-risk screening result, but one supporting condition is incomplete and the result has never been validated on the target machine.
The fusion research team needs to know whether the case supports a bounded research classification, whether it should remain review-required, or whether the evidence gap blocks any stronger interpretation.
WITHOUT this gate: a high simulation risk score can migrate into experimental planning as if it were a validated real-machine disruption prediction.
WITH this gate: supplied plasma evidence, simulation context, risk classification, evidence gaps and machine/validation limitations are reviewed together. The result remains simulation-only research evidence for qualified human follow-up.
What BivectorAI Provides
Simulation-Only Disruption Screening
Checks the bounded synthetic or simulation plasma snapshot against the agreed research-screening question without claiming real-machine validation.
Risk-Evidence Consistency Screening
Surfaces incomplete, conflicting or unsupported evidence that materially qualifies the bounded disruption-risk finding.
Bounded Risk / Review-Required Classification
Separates stronger-supported simulation findings from incomplete or unsupported cases that should remain review-required.
Human-Owned Machine-Control & Validation Boundary
Returns disruption-screening evidence while live tokamak control, plasma actuator authority, operational reactor credentials and real-machine validation remain outside scope.
Prove the Gate Before Broader Integration
Back-test the disruption-screening gate against frozen synthetic or simulation cases conforming to the agreed S40 input contract.
Freeze the accepted plasma-snapshot fields, simulation-context fields, bounded risk-classification rules, evidence-gap conditions, review-required categories, unsupported-scope rules and review thresholds before evaluation. Broader integration is justified only if the same simulation-bound contract reproducibly separates stronger-supported findings from incomplete or unsupported cases. This is a proposed validation methodology, not real-machine disruption-prediction validation, tokamak-control validation or plasma-actuator authorization.
What you provide
Synthetic or simulation-only plasma snapshot evidence within an agreed bounded research case.
What BivectorAI actually hands you
Simulation-only disruption screening findings
A bounded finding tied to the exact synthetic or simulation plasma snapshot and agreed research case.
Bounded research risk classification
A research-only classification that remains explicitly separate from validated real-machine prediction.
Input-bound evidence certificate
A reproducible record tying the supplied plasma evidence, simulation context, classification and limitations to the reviewed case.
Human-review-required follow-up findings
An explicit record of evidence gaps, unresolved conditions and cases requiring qualified fusion-research review.
What we will never ask you for
Simulation-only disruption screening is deliberately separated from real-machine control and validation authority:
- Live tokamak control.
- Plasma actuator authority.
- Operational reactor credentials.
- A claim that synthetic screening is a validated disruption predictor.
How it actually runs
Start with a bounded evaluation, not a large commitment
Fixed scope / quoted per engagement. Evidence boundary, inputs, outputs and acceptance criteria are agreed before work begins.
We do not open with an annual license. The first engagement establishes whether the capability is useful and supportable on a customer-controlled problem before broader commitment.
If the simulation-only disruption screen does not establish that the evidence assessment is useful for the agreed research case, there is no reason to move into a broader commercial commitment.
Bounded evidence contract, private integration and agreed evaluation scope.
Annual access only within an agreed and evidence-supported capability boundary.
Fixed program scope where a bounded research or evidence campaign is preferred.
Current status: implemented research operation within the broader Advanced Physics evaluation scope. Validation evidence is synthetic-fixture-only and every output is simulation-only. It is not a validated disruption predictor for real machines and is not a tokamak control system.