Domain Lab

A simulation is only as good as its validation.
Your simulations need validation against experiment. AI checks convergence and compares. You get the proof.
For computational physics groups where reproducibility is a career requirement.

Configure particle, CFD, or quantum simulations. AI monitors convergence, compares against experimental data, and exports NERC/NRC evidence packages.

Your first run

One simulation. Experimental comparison. Validation report in a day.

AI LabsDomain LabsRegression Bank
Accepted formats
FITS / HDF5 / VTK

Ingest simulation and experimental data in standard physics formats.

Compliance frameworks
NERC / NRC

Evidence exports structured for safety filings and regulatory review.

Pre-built agent
sim-validator

Convergence monitoring, experiment comparison, and validation reporting.

Focus Areas

What this lab is built for.

Surfaces designed for scientists, operators, and executives. Every output is versioned with provenance so no work is lost.

Particle & Field Simulation

From parameters to predictions.

  • FITS/HDF5 ingest with metadata parsing and validation
  • Parameter sweep management with boundary condition tracking
  • Constraint enforcement with provenance on every run

Fluid Dynamics

Flow analysis you can verify.

  • CFD validation workflows with reviewer sign-off
  • Mesh refinement tracking with convergence evidence
  • Turbulence modeling with uncertainty quantification

Quantum & Statistical Mechanics

Many-body systems, grounded in evidence.

  • Many-body system workflows with provenance attached
  • Energy landscape exploration with review checkpoints
  • Ensemble analysis and statistical convergence verification
Signature Workflow

How Physics runs.

Automated evaluation. Expert routing. Regression-tested releases.

Step 1

Configure

Set up the problem.

  • Specify parameters, boundary conditions, and constraints
  • Attach acceptance criteria and reviewer requirements
  • Version the problem definition for reproducibility
Step 2

Execute

Run and monitor solvers.

  • Execute solvers with convergence checks at each stage
  • Capture intermediate states and uncertainty quantification
  • Route divergent or anomalous runs for review
Step 3

Validate

Compare to experiment and export.

  • Compare simulation outputs against experimental data
  • Run regression checks to catch silent degradation
  • Export NERC/NRC evidence packages for publication or review

Overview

Configure your simulation, run it with convergence monitoring, and compare against experimental data — all in one evidence loop. AuraOne Physics connects setup, execution, and validation so decisions about model fidelity are traceable and reproducible.

Physics capsule

Your simulations need validation against experiment. AI checks convergence and compares. You get the proof.

  • Configure particle, CFD, or quantum simulations. AI monitors convergence, compares against experimental data, and exports NERC/NRC evidence packages.
  • FITS / HDF5 / VTK Accepted formats
  • Focus: Particle & Field Simulation
  • Workflow: Configure

Validation-first

Every simulation run produces outputs you can compare against experimental data. Reviewer decisions and corrections stay attached, so the gap between model and measurement is documented rather than assumed away.

Physics capsule

Your simulations need validation against experiment. AI checks convergence and compares. You get the proof.

  • Configure particle, CFD, or quantum simulations. AI monitors convergence, compares against experimental data, and exports NERC/NRC evidence packages.
  • FITS / HDF5 / VTK Accepted formats
  • Focus: Particle & Field Simulation
  • Workflow: Configure

Evidence for the record

Convergence checks, parameter histories, and validation comparisons are captured as structured evidence. Export NERC/NRC packages when safety filings or peer review demand it.

Physics capsule

Your simulations need validation against experiment. AI checks convergence and compares. You get the proof.

  • Configure particle, CFD, or quantum simulations. AI monitors convergence, compares against experimental data, and exports NERC/NRC evidence packages.
  • FITS / HDF5 / VTK Accepted formats
  • Focus: Particle & Field Simulation
  • Workflow: Configure

Proof hooks

Evidence that stays attached

This is what the system is designed to record for Physics workflows. Metrics and outcomes depend on your deployment and must be validated in staging and production.

NERC / NRC
Evidence exports structured for safety filings and regulatory review.
Validation trails
Simulation vs. experimental results tracked with full provenance.
Convergence evidence
Solver convergence, parameter histories, and boundary conditions recorded.
Want the security and evidence model? Start in the Trust Center.
Visit Trust Center

Start your Physics Lab.

One session. First lab running.