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[Feature] Loading-ratio threshold tool #180

@bryanchriswhite

Description

@bryanchriswhite

Summary

A focused educational sub-tool: scatter-plot of D/Pd loading ratio vs. reported excess power for documented LENR experiments. Visualizes McKubre's x > 0.9 threshold and the Mizuno plasma-electrolysis regime.

Why this matters

The literature review identifies the loading ratio as the single most-cited reproducibility predictor:

"McKubre (SRI, 1990–2002): replicated in six cell types; established loading ratio threshold x = D/Pd > 0.9 as prerequisite. Maximum excess power ~20% above input."

"Most labs that attempted replication in 1989–1990 used off-the-shelf Pd and failed."

A visual showing data points clustering above the 0.9 threshold makes the recipe parameter tangible in a way prose cannot.

Proposed scope

  • A new page /loading-ratio (or a panel on the proposed Material Recipe Browser [Feature] Material recipe browser #177)
  • X-axis: D/Pd loading ratio (0 → 1.2)
  • Y-axis: reported excess power / COP
  • Plotted points: cited experiments with both data dimensions documented
  • Highlight: vertical line at x = 0.9 with annotation "McKubre threshold"
  • Per-point tooltip: experiment name, year, citation
  • Optional second view: Mizuno plasma-electrolysis regime (Ni-mesh + gas) on a different axis

Out of scope

  • Live data ingestion
  • User-submitted data
  • Interactive what-if calculator (this is a chart, not a simulator)

Open UX questions

  • Does this deserve its own page, or is it a panel on Material Recipe Browser ([Feature] Material recipe browser #177)?
  • Source data is sparse — initial dataset may be 5–10 points. Does that warrant a chart?
  • Is the threshold real for non-electrolytic setups? Need to scope clearly that this is the Pd/D₂O regime
  • Mobile rendering of a scatter plot

References

  • HumanScholars review, Part IX §1 (Excess Heat — McKubre paragraph)
  • Recharts already a dep (used for cascade visualisations)

Provenance

Generated by Claude Code from analysis of the HumanScholars LENR literature review. AI-suggested; given small data n, the framing/value of this view requires human review before implementation. Tracked in beads as lenr-p8g.

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    ai-suggestedGenerated by AI analysis. Verify scope and need before implementing.area: uiUser interface and user experiencefeatureNew functionality or capabilityneeds-ux-designImplementation should not begin until human UX design review/approval.priority: lowLow priority - nice to have

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