Tools and Features

Sustainable Catalyst Research Lab: Feature-by-Feature Guide

Use every documented Sustainable Catalyst Research Lab feature with sample input and expected output.

ProductSustainable Catalyst Research LabVerified version0.36.1ComponentCalibration and Validation, Dataset Registry, Design of Experiments, Distributed Compute, Evidence and Provenance, Experiment Framework, External Discovery, Instrumentation, Method Review, Numerical Solvers, Offline Field Work, Parameter Studies, Persistent Queue, Projects and Workspaces, Publication Packages, Python Compute Core, Reproducible Runs, Scientific Calculators, Visualization, Workflow OrchestrationUpdatedJuly 17, 2026Reading time18 minutes
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Sustainable Catalyst Research Lab · Technical Reference

Governed scientific calculators, computation, datasets, runs, provenance, methods, experiments, calibration, queues, instruments, and publication packages.

Audience: product users, administrators, reviewers, and integrators.

Last verified version: 0.36.1

Reading time: 18–30 minutes

Status: Published support documentation.

Purpose

This is the complete documented feature inventory for Sustainable Catalyst Research Lab version 0.36.1. Every feature includes sample data, a seven-step use pattern, expected output, and a verification rule. Reverify this article whenever the product release changes.

Prerequisites

  • A clean demonstration workspace
  • The downloadable all-feature CSV or JSON
  • Current product release notes
  • Permission to use each tested feature
  • A reviewer familiar with the product

Sample data

This article uses a fictional Resilient Community Retrofit Program. The files contain one demonstration row for every documented feature, so each capability can be tested without private or production data.

Download CSV feature examples · Download JSON workspace example

Preview

# Feature Sample action Expected result Classification
1 Scientific Calculators calculate a heat-transfer coefficient with units a method-labeled result synthetic-demo
2 Python Compute Core run summary statistics through the supported backend a typed compute response synthetic-demo
3 Numerical Solvers fit a simple energy model and inspect convergence solver output and diagnostics synthetic-demo
4 Visualization plot measured versus predicted energy use a figure tied to dataset and run IDs synthetic-demo
5 Projects and Workspaces create LAB-RETROFIT-001 a persistent research workspace synthetic-demo

The downloadable files include all 20 feature rows.

Feature-by-feature procedure

1. Scientific Calculators

Purpose: Use Scientific Calculators within the governed Sustainable Catalyst Research Lab workflow.

Sample action: calculate a heat-transfer coefficient with units.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a method-labeled result.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

2. Python Compute Core

Purpose: Use Python Compute Core within the governed Sustainable Catalyst Research Lab workflow.

Sample action: run summary statistics through the supported backend.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a typed compute response.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

3. Numerical Solvers

Purpose: Use Numerical Solvers within the governed Sustainable Catalyst Research Lab workflow.

Sample action: fit a simple energy model and inspect convergence.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: solver output and diagnostics.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

4. Visualization

Purpose: Use Visualization within the governed Sustainable Catalyst Research Lab workflow.

Sample action: plot measured versus predicted energy use.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a figure tied to dataset and run IDs.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

5. Projects and Workspaces

Purpose: Use Projects and Workspaces within the governed Sustainable Catalyst Research Lab workflow.

Sample action: create LAB-RETROFIT-001.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a persistent research workspace.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

6. Dataset Registry

Purpose: Use Dataset Registry within the governed Sustainable Catalyst Research Lab workflow.

Sample action: register monthly meter data with schema, source, license, and units.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a versioned dataset record.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

7. Reproducible Runs

Purpose: Use Reproducible Runs within the governed Sustainable Catalyst Research Lab workflow.

Sample action: execute the baseline model twice with fixed inputs and seed.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a rerunnable run record and matching fingerprint.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

8. Evidence and Provenance

Purpose: Use Evidence and Provenance within the governed Sustainable Catalyst Research Lab workflow.

Sample action: trace a savings estimate to source files, method, and code.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: an end-to-end provenance graph.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

9. Method Review

Purpose: Use Method Review within the governed Sustainable Catalyst Research Lab workflow.

Sample action: document assumptions, diagnostics, limits, and reviewer decision.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a governed method record.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

10. External Discovery

Purpose: Use External Discovery within the governed Sustainable Catalyst Research Lab workflow.

Sample action: locate candidate weather-normalization data.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: discovery records awaiting review.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

11. Experiment Framework

Purpose: Use Experiment Framework within the governed Sustainable Catalyst Research Lab workflow.

Sample action: define hypothesis, factors, controls, outcomes, and stopping rule.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: an experiment specification.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

12. Parameter Studies

Purpose: Use Parameter Studies within the governed Sustainable Catalyst Research Lab workflow.

Sample action: sweep occupancy and tariff assumptions.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a parameter-result table.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

13. Design of Experiments

Purpose: Use Design of Experiments within the governed Sustainable Catalyst Research Lab workflow.

Sample action: create a factorial temperature-by-occupancy design.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a design matrix and analysis plan.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

14. Calibration and Validation

Purpose: Use Calibration and Validation within the governed Sustainable Catalyst Research Lab workflow.

Sample action: calibrate a thermal model and test held-out data.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: fit and validation metrics.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

15. Distributed Compute

Purpose: Use Distributed Compute within the governed Sustainable Catalyst Research Lab workflow.

Sample action: dispatch 500 approved scenario combinations.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: worker receipts and consolidated results.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

16. Persistent Queue

Purpose: Use Persistent Queue within the governed Sustainable Catalyst Research Lab workflow.

Sample action: queue a long calibration run and survive restart.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a durable job record.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

17. Workflow Orchestration

Purpose: Use Workflow Orchestration within the governed Sustainable Catalyst Research Lab workflow.

Sample action: connect dataset, method, run, review, and export.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a typed execution history.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

18. Instrumentation

Purpose: Use Instrumentation within the governed Sustainable Catalyst Research Lab workflow.

Sample action: register a temperature logger, channels, calibration, and custody.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: instrument and observation records.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

19. Offline Field Work

Purpose: Use Offline Field Work within the governed Sustainable Catalyst Research Lab workflow.

Sample action: collect temperatures without connectivity and synchronize later.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: queued observations with conflict handling.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

20. Publication Packages

Purpose: Use Publication Packages within the governed Sustainable Catalyst Research Lab workflow.

Sample action: assemble methods, data, code, figures, results, and provenance.

Steps

  1. Open or create the synthetic retrofit workspace.
  2. Select or navigate to this feature.
  3. Enter the matching row from the CSV or JSON sample.
  4. Review required fields, sources, units, permissions, assumptions, and warnings.
  5. Run or save the feature operation.
  6. Compare the result with the expected result below.
  7. Add a review note and preserve the feature state.

Expected result: a portable reproduction bundle.

Verification: The result must preserve the sample feature ID, product version, lifecycle state, provenance, and any domain-specific unit or classification. Failure must return an actionable error without destroying prior state.

Expected output

  • a method-labeled result
  • a typed compute response
  • solver output and diagnostics
  • a figure tied to dataset and run IDs
  • a persistent research workspace
  • a versioned dataset record
  • a rerunnable run record and matching fingerprint
  • an end-to-end provenance graph
  • a governed method record
  • discovery records awaiting review
  • an experiment specification
  • a parameter-result table
  • a design matrix and analysis plan
  • fit and validation metrics
  • worker receipts and consolidated results
  • a durable job record
  • a typed execution history
  • instrument and observation records
  • queued observations with conflict handling
  • a portable reproduction bundle

Whole-product verification

  • All 20 documented features are present or intentionally permission-restricted.
  • Every feature accepts its synthetic row or explains why it does not apply.
  • Errors preserve saved state and provide a recovery path.
  • Exports and handoffs retain provenance and version identity.
  • No private, confidential, or secret information appears in public output.

Responsible use

The Lab supports research and teaching, not unsupported scientific, engineering, clinical, or regulatory claims.

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