STEP 01
WHAT WE STANDARDIZE
Bring in the work
Review simulations against reality before a result moves into design, science, or reporting.
→DOMAIN LABS · PHYSICS · PHYSICS LAB COMPARES RUNS TO EXPERIMENTS, ROUTES ANOMALIES TO REVIEWERS, AND EXPORTS A VALIDATION RECORD SOMEONE ELSE CAN REPLAY.
Runs that prove themselves.
Load model runs, reference data, and acceptance rules. The lab shows where a simulation matches reality, where it drifts, and how the reviewer decided whether the result was usable.
ACCEPTED FORMATS
FITS / HDF5 / VTK
Start with the files and records the team already uses.
DECISION OWNER
Research scientist
Keep the right specialist or approver on the work that needs judgment.
OUTCOME
Validation record
Hand off one reviewed record instead of scattered notes.
HOW IT WORKS
Three steps. Run in. Validation review on anomalies. Reproducible record out.
Bring in the work. Standardize the step. Hand off a clean result.
STEP 02
WHAT WE REVIEW
a simulation is only valuable if another scientist can inspect it, challenge it, and reproduce it later.
Upload the simulation run, inspect flagged cases, and export one validation record.
→STEP 03
WHAT WE SIGN
Leave with a clean result
Get one validation record with the decision, evidence, and status attached.
WHY IT EXISTS
The reason a physics team buys the lab.
Use this when a simulation is only valuable if another scientist can inspect it, challenge it, and reproduce it later.
THE PROBLEM
Use this when a simulation is only valuable if another scientist can inspect it, challenge it, and reproduce it later.
THE REVIEW MOTION
Run in. Validation review on anomalies. Reproducible record out.
THE OUTCOME
Run settings, comparison deltas, reviewer notes, and validation status stay in one record.
WHY TEAMS BUY IT
Load model runs, reference data, and acceptance rules. The lab shows where a simulation matches reality, where it drifts, and how the reviewer decided whether the result was usable.
FOCUS AREAS · THREE WINDOWS
The three places this lab does the work.
Run in. Validation review on anomalies. Reproducible record out.
AREA · 01
Run validation
Start with the real simulation run and the rules that matter.
- ↳Bring in FITS / HDF5 / VTK without stripping away context.
- ↳Keep project constraints visible from the first step.
- ↳Give the team one clear place to start the review.
AREA · 02
Anomaly review
Send the hard calls to the research scientist.
- ↳Surface the cases that need human judgment.
- ↳Keep reviewer notes attached to the decision.
- ↳Make approvals, overrides, and escalations easy to explain later.
AREA · 03
Validation release
Hand off a validation record the next team can trust.
- ↳Export lineage, notes, and approval status together.
- ↳Save repeat failures as checks for the next run.
- ↳Deliver one clean packet for the next team or gate.
WORKFLOW · THREE STAGES
The walkthrough your team runs.
Run settings, comparison deltas, reviewer notes, and validation status stay in one record.
STAGE · 01
01
Bring in the simulation run
Load the work, context, and rules into one record.
- ·Use FITS / HDF5 / VTK.
- ·Capture the project rules before review starts.
- ·Keep the original context attached.
STAGE · 02
02
Review what needs judgment
Score the work and send the decisions that need judgment to the research scientist.
- ·Highlight what can move fast and what cannot.
- ·Record reviewer notes and final calls.
- ·Keep the audit trail readable.
STAGE · 03
03
Export the validation record
Package the approved result for the next team, approval gate, or audit request.
- ·Bundle the evidence with the decision.
- ·Save the same mistake as a future check.
- ·Hand off a packet someone else can inspect.
STARTS FROM
A model already suited to the workflow.
STARTER MODEL
FNO family
Starts with Fourier Neural Operator-style and open surrogate models already suited to simulation-heavy workflows.
Validation runs, anomaly reviews, and accepted or rejected outputs make the model more useful on your own systems.
AuraOne helps structure the first review loop. Your scientists still own the validation bar.
READING · PHYSICS · LIVE
00·00 INTAKEUSE THIS WHEN A SIMULATION IS ONLY VSIGN 04·18
REVIEWER · EVIDENCE · OUTPUT
The work and the people who sign for it.
Specialist reviewers, the evidence they keep, and the result the next team consumes.
REVIEWER TYPE
research scientist
ENTRY MOTION
Run in. Validation review on anomalies. Reproducible record out.
EVIDENCE PATTERN
Run settings, comparison deltas, reviewer notes, and validation status stay in one record.
OUTPUT SUMMARY
Get one validation record with the decision, evidence, and status attached.
PAINFUL STEP
a simulation is only valuable if another scientist can inspect it, challenge it, and reproduce it later.
WHAT YOU KEEP
Reviewed validation data, experiment comparisons, and tuned weights your team can keep.
↳ WORKFLOW ARCHETYPES
run validationanomaly reviewvalidation releaseCONNECTED MODULES · INSIDE THE OS
What this lab plugs into.
The physics lab does not run alone. Each captured decision feeds into the AuraOne modules that govern release, memory, and review — one record, one standard, one packet.
№ 01 · MODULE
AI Labs
№ 02 · MODULE
Regression Bank
№ 03 · MODULE
Control Center
№ 04 · MODULE
Compliance Monitoring
ON THE RECORD · A PHYSICS PROGRAM
“The review used to be the bottleneck. Now it’s the part of the workflow that moves the fastest. The record travels with the work.”
WHAT YOU KEEP
Your work. Your data. Your AI.
WORKFLOW
Real cases
Files, batches, and cases your team already runs. Not a demo.
DATA
Your tenant
In your VPC. Your keys. Your retention policy.
WEIGHTS
Yours to keep
Reviewed validation data, experiment comparisons, and tuned weights your team can keep.
RELATED LABS
Same loop. Different wavelength.
PHYSICS
Bring the workflow you want to own.
We'll map the workflow. Pick the starting model. Standardize the step. Hand you the result.
↳ STARTS FROM
FNO family
↳ LEAVES WITH
Reviewed validation data, experiment comparisons, and tuned weights your team can keep.