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Agentic AI Atlas · Computational Experiment Validation
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Computational Experiment Validation overview

Validates computational physics experiments for reproducibility and correctness -- verifying numerical method convergence (mesh/timestep independence), checking conservation law satisfaction, comparing against analytical solutions or benchmark datasets, auditing random number generator seeding strategy, confirming parallel decomposition does not introduce non-determinism, and archiving environment snapshots for long-term reproducibility. Excludes experiment design.

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Attributes

displayName
Computational Experiment Validation
workflowKind
governance
triggerType
event-driven
typicalCadence
per-experiment
complexity
single-team
description
Validates computational physics experiments for reproducibility and correctness -- verifying numerical method convergence (mesh/timestep independence), checking conservation law satisfaction, comparing against analytical solutions or benchmark datasets, auditing random number generator seeding strategy, confirming parallel decomposition does not introduce non-determinism, and archiving environment snapshots for long-term reproducibility. Excludes experiment design.

Outgoing edges

applies_to_domain2
  • domain:physics·DomainPhysics
  • domain:scientific-computing·DomainScientific Computing
involves_role3
  • role:data-scientist·RoleData Scientist
  • role:principal-engineer·RolePrincipal Engineer
  • role:test-writer·RoleTest Writer
performed_by_org_unit2
  • org-unit:research-engineering·OrgUnitResearch Engineering
  • org-unit:ml-team·OrgUnitML Team
requires_skill_area2
  • skill-area:python-data-pipelines·SkillAreaPython Data Pipelines
  • skill-area:eval-driven-development·SkillAreaEval-Driven LLM Development
triggers_responsibility2
  • responsibility:data-quality-monitoring·ResponsibilityData quality monitoring
  • responsibility:review-architecture-changes·ResponsibilityReview architecture changes

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