{
  "node": {
    "id": "term:bruggeman-relation",
    "type": "Term",
    "label": "Bruggeman relation",
    "properties": {
      "id": "bruggeman-relation",
      "name": "Bruggeman relation",
      "section": "topic-transport",
      "definition": "The common estimate of effective transport in a porous layer: multiply the bulk conductivity or diffusivity by porosity to the power 1.5. Real electrodes often deviate, so measured tortuosity is preferred when available.",
      "formula": "D_eff = D · ε^1.5",
      "related": [
        "tortuosity",
        "porosity",
        "porous-electrode-theory"
      ],
      "example": {
        "title": "Estimate an effective diffusivity",
        "text": "Using the illustrative relation D_eff = D ε^1.5 with porosity ε = 0.4 gives D_eff ≈ 0.253D. This empirical geometry approximation does not replace a measured tortuosity."
      },
      "url": "https://lemonergy.com/learn/glossary/bruggeman-relation/",
      "mentions": [
        "diffusion-coefficient"
      ]
    }
  },
  "edges": [
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      "id": "edge:2100",
      "source": "term:bruggeman-relation",
      "target": "topic:topic-transport",
      "type": "belongsTo",
      "properties": {
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      }
    },
    {
      "id": "edge:2101",
      "source": "term:bruggeman-relation",
      "target": "term:tortuosity",
      "type": "relatedTo",
      "properties": {
        "sourceFile": "terms.json",
        "meaning": "Related context; not a causal claim"
      }
    },
    {
      "id": "edge:2102",
      "source": "term:bruggeman-relation",
      "target": "term:porosity",
      "type": "relatedTo",
      "properties": {
        "sourceFile": "terms.json",
        "meaning": "Related context; not a causal claim"
      }
    },
    {
      "id": "edge:2103",
      "source": "term:bruggeman-relation",
      "target": "term:porous-electrode-theory",
      "type": "relatedTo",
      "properties": {
        "sourceFile": "terms.json",
        "meaning": "Related context; not a causal claim"
      }
    },
    {
      "id": "edge:mentions/bruggeman-relation/diffusion-coefficient",
      "source": "term:bruggeman-relation",
      "target": "term:diffusion-coefficient",
      "type": "mentions",
      "properties": {
        "sourceFile": "terms.json",
        "method": "build_glossary.mention_index + mentions",
        "field": "definition",
        "meaning": "Text mention; not a causal claim"
      }
    },
    {
      "id": "edge:2105",
      "source": "term:bruggeman-relation",
      "target": "visual:porous",
      "type": "illustratedBy",
      "properties": {
        "sourceFile": "visual-pages.json"
      }
    },
    {
      "id": "edge:2106",
      "source": "term:bruggeman-relation",
      "target": "reference:doyle-model",
      "type": "cites",
      "properties": {
        "sourceFile": "wiki-references.json",
        "scope": "direct technical reference"
      }
    }
  ],
  "neighbors": [
    {
      "id": "topic:topic-transport",
      "type": "Topic",
      "label": "Transport and modelling",
      "properties": {
        "id": "topic-transport",
        "name": "Transport and modelling",
        "lede": "How ions move, and the equations and models that describe a cell.",
        "context": "Specify phase, direction and boundaries.",
        "example": "The same concentration difference across 10 μm gives ten times the gradient across 100 μm; at equal D, first-law flux magnitude is ten times greater.",
        "lesson_url": "https://lemonergy.com/learn/transport/ficks-first-law/",
        "lesson_label": "Open diffusion"
      }
    },
    {
      "id": "term:tortuosity",
      "type": "Term",
      "label": "Tortuosity",
      "properties": {
        "id": "tortuosity",
        "name": "Tortuosity",
        "abbr": "τ",
        "section": "topic-transport",
        "definition": "How winding the path through a porous layer is, compared with a straight line through it. High tortuosity means ions travel much further than the layer is thick, which limits how fast a thick, dense electrode can be charged or discharged.",
        "unit": "—",
        "related": [
          "porosity",
          "bruggeman-relation",
          "porous-electrode",
          "rate-capability",
          "ionic-path"
        ],
        "lesson": "fundamentals/cell-architecture/#porosity",
        "url": "https://lemonergy.com/learn/glossary/tortuosity/",
        "mentions": [
          "electrode",
          "winding"
        ]
      }
    },
    {
      "id": "term:porosity",
      "type": "Term",
      "label": "Porosity",
      "properties": {
        "id": "porosity",
        "name": "Porosity",
        "abbr": "ε",
        "section": "topic-components",
        "definition": "The fraction of a layer’s volume that is empty space. In a lithium-ion electrode the pores — roughly 20–35 % of the volume after calendering — are filled with electrolyte, which carries ions to the particles.",
        "unit": "—",
        "related": [
          "porous-electrode",
          "tortuosity",
          "calendering",
          "bruggeman-relation"
        ],
        "lesson": "fundamentals/cell-architecture/#porosity",
        "example": {
          "title": "Use the volume basis",
          "text": "Pore volume of 0.3 cm³ within 1 cm³ total electrode volume means 30% porosity. It does not specify connectivity or tortuosity."
        },
        "url": "https://lemonergy.com/learn/glossary/porosity/",
        "mentions": [
          "electrode",
          "electrolyte"
        ]
      }
    },
    {
      "id": "term:porous-electrode-theory",
      "type": "Term",
      "label": "Porous-electrode theory",
      "properties": {
        "id": "porous-electrode-theory",
        "name": "Porous-electrode theory",
        "section": "topic-transport",
        "definition": "The framework, due to Newman and co-workers, that treats a porous electrode as two overlapping continua — solid and electrolyte — exchanging current everywhere through their shared surface. It underlies every physics-based lithium-ion model.",
        "related": [
          "newman-model",
          "porous-electrode",
          "bruggeman-relation",
          "butler-volmer"
        ],
        "url": "https://lemonergy.com/learn/glossary/porous-electrode-theory/",
        "mentions": [
          "electrode",
          "electrolyte"
        ]
      }
    },
    {
      "id": "term:diffusion-coefficient",
      "type": "Term",
      "label": "Diffusion coefficient",
      "properties": {
        "id": "diffusion-coefficient",
        "name": "Diffusion coefficient",
        "abbr": "D",
        "aka": [
          "diffusivity"
        ],
        "section": "topic-transport",
        "definition": "The proportionality constant D in Fick’s first law, in m²/s. It sets how fast a species spreads for a given concentration gradient.",
        "unit": "m²/s",
        "related": [
          "ficks-first-law",
          "solid-state-diffusion",
          "gitt",
          "diffusion"
        ],
        "lesson": "transport/ficks-first-law/#law",
        "url": "https://lemonergy.com/learn/glossary/diffusion-coefficient/",
        "mentions": [
          "concentration-gradient"
        ]
      }
    },
    {
      "id": "visual:porous",
      "type": "Visual",
      "label": "Porosity reduces effective transport",
      "properties": {
        "title": "Porosity reduces effective transport",
        "summary": "A Bruggeman relation approximates transport through a porous medium.",
        "readout": "At 40% porosity, D_eff is 25.298% of bulk diffusivity.",
        "formula": "D_eff = D εᵇ",
        "note": "An empirical pore-structure assumption; actual tortuosity must be characterized.",
        "software": {
          "status": "reference",
          "label": "Reference concept",
          "body": "The flux helper accepts a supplied diffusivity. It does not estimate porosity or tortuosity. The shown D_eff = D εᵇ relationship is an explicit teaching assumption.",
          "href": "../transport/ficks-first-law/"
        },
        "html": "<figure class=\"visual-figure\"><figcaption>Effective diffusivity fraction</figcaption><svg class=\"visual-chart\" viewBox=\"0 0 360 330\" role=\"img\" aria-labelledby=\"static-porous-0-title static-porous-0-desc\"><title id=\"static-porous-0-title\">Effective diffusivity fraction</title><desc id=\"static-porous-0-desc\">Porosity ε (fraction) versus D_eff / D (fraction). εᵇ; Straight-pore scaling ε. Interpretation follows the graphs.</desc><path d=\"M74,238h268\" stroke=\"currentColor\" opacity=\".13\"/><text x=\"64\" y=\"242\" text-anchor=\"end\" font-size=\"13\" fill=\"currentColor\">0</text><text x=\"74\" y=\"265\" text-anchor=\"middle\" font-size=\"13\" fill=\"currentColor\">0</text><path d=\"M74,188.5h268\" stroke=\"currentColor\" opacity=\".13\"/><text x=\"64\" y=\"192.5\" text-anchor=\"end\" font-size=\"13\" fill=\"currentColor\">0.25</text><text x=\"141\" y=\"265\" text-anchor=\"middle\" font-size=\"13\" fill=\"currentColor\">0.25</text><path d=\"M74,139h268\" stroke=\"currentColor\" opacity=\".13\"/><text x=\"64\" y=\"143\" text-anchor=\"end\" font-size=\"13\" fill=\"currentColor\">0.5</text><text x=\"208\" y=\"265\" text-anchor=\"middle\" font-size=\"13\" fill=\"currentColor\">0.5</text><path d=\"M74,89.5h268\" stroke=\"currentColor\" opacity=\".13\"/><text x=\"64\" y=\"93.5\" text-anchor=\"end\" font-size=\"13\" fill=\"currentColor\">0.75</text><text x=\"275\" y=\"265\" text-anchor=\"middle\" font-size=\"13\" fill=\"currentColor\">0.75</text><path d=\"M74,40h268\" stroke=\"currentColor\" opacity=\".13\"/><text x=\"64\" y=\"44\" text-anchor=\"end\" font-size=\"13\" fill=\"currentColor\">1</text><text x=\"342\" y=\"265\" text-anchor=\"middle\" font-size=\"13\" fill=\"currentColor\">1</text><path d=\"M74,40v198h268\" fill=\"none\" stroke=\"currentColor\" opacity=\".3\"/><polyline fill=\"none\" stroke=\"#2459a8\" stroke-width=\"2.8\" points=\"74.00,238.00 76.68,237.80 79.36,237.44 82.04,236.97 84.72,236.42 87.40,235.79 90.08,235.09 92.76,234.33 95.44,233.52 98.12,232.65 100.80,231.74 103.48,230.78 106.16,229.77 108.84,228.72 111.52,227.63 114.20,226.50 116.88,225.33 119.56,224.12 122.24,222.88 124.92,221.60 127.60,220.29 130.28,218.95 132.96,217.57 135.64,216.16 138.32,214.72 141.00,213.25 143.68,211.75 146.36,210.22 149.04,208.66 151.72,207.08 154.40,205.47 157.08,203.83 159.76,202.16 162.44,200.47 165.12,198.75 167.80,197.00 170.48,195.23 173.16,193.44 175.84,191.62 178.52,189.78 181.20,187.91 183.88,186.02 186.56,184.11 189.24,182.17 191.92,180.21 194.60,178.23 197.28,176.23 199.96,174.20 202.64,172.15 205.32,170.09 208.00,168.00 210.68,165.89 213.36,163.75 216.04,161.60 218.72,159.43 221.40,157.24 224.08,155.03 226.76,152.79 229.44,150.54 232.12,148.27 234.80,145.98 237.48,143.67 240.16,141.34 242.84,138.99 245.52,136.62 248.20,134.24 250.88,131.84 253.56,129.41 256.24,126.97 258.92,124.51 261.60,122.04 264.28,119.55 266.96,117.03 269.64,114.50 272.32,111.96 275.00,109.40 277.68,106.81 280.36,104.22 283.04,101.60 285.72,98.97 288.40,96.32 291.08,93.66 293.76,90.98 296.44,88.28 299.12,85.57 301.80,82.84 304.48,80.09 307.16,77.33 309.84,74.55 312.52,71.75 315.20,68.94 317.88,66.12 320.56,63.28 323.24,60.42 325.92,57.55 328.60,54.66 331.28,51.76 333.96,48.84 336.64,45.91 339.32,42.96 342.00,40.00\"/><polyline fill=\"none\" stroke=\"#6953a8\" stroke-width=\"2.8\" stroke-dasharray=\"7 4\" points=\"74.00,238.00 76.68,236.02 79.36,234.04 82.04,232.06 84.72,230.08 87.40,228.10 90.08,226.12 92.76,224.14 95.44,222.16 98.12,220.18 100.80,218.20 103.48,216.22 106.16,214.24 108.84,212.26 111.52,210.28 114.20,208.30 116.88,206.32 119.56,204.34 122.24,202.36 124.92,200.38 127.60,198.40 130.28,196.42 132.96,194.44 135.64,192.46 138.32,190.48 141.00,188.50 143.68,186.52 146.36,184.54 149.04,182.56 151.72,180.58 154.40,178.60 157.08,176.62 159.76,174.64 162.44,172.66 165.12,170.68 167.80,168.70 170.48,166.72 173.16,164.74 175.84,162.76 178.52,160.78 181.20,158.80 183.88,156.82 186.56,154.84 189.24,152.86 191.92,150.88 194.60,148.90 197.28,146.92 199.96,144.94 202.64,142.96 205.32,140.98 208.00,139.00 210.68,137.02 213.36,135.04 216.04,133.06 218.72,131.08 221.40,129.10 224.08,127.12 226.76,125.14 229.44,123.16 232.12,121.18 234.80,119.20 237.48,117.22 240.16,115.24 242.84,113.26 245.52,111.28 248.20,109.30 250.88,107.32 253.56,105.34 256.24,103.36 258.92,101.38 261.60,99.40 264.28,97.42 266.96,95.44 269.64,93.46 272.32,91.48 275.00,89.50 277.68,87.52 280.36,85.54 283.04,83.56 285.72,81.58 288.40,79.60 291.08,77.62 293.76,75.64 296.44,73.66 299.12,71.68 301.80,69.70 304.48,67.72 307.16,65.74 309.84,63.76 312.52,61.78 315.20,59.80 317.88,57.82 320.56,55.84 323.24,53.86 325.92,51.88 328.60,49.90 331.28,47.92 333.96,45.94 336.64,43.96 339.32,41.98 342.00,40.00\"/><text transform=\"translate(208 303)\" text-anchor=\"middle\" font-size=\"14\" fill=\"currentColor\"><tspan x=\"0\" dy=\"0\">Porosity ε (fraction)</tspan></text><text transform=\"translate(20 139) rotate(-90)\" text-anchor=\"middle\" font-size=\"14\" fill=\"currentColor\"><tspan x=\"0\" dy=\"0\">D_eff / D (fraction)</tspan></text></svg><div class=\"visual-legend\"><span><i style=\"background:#2459a8\"></i>εᵇ</span><span><i style=\"background:#6953a8\"></i>Straight-pore scaling ε (dashed)</span></div></figure>"
      }
    },
    {
      "id": "reference:doyle-model",
      "type": "Reference",
      "label": "Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell",
      "properties": {
        "title": "Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell",
        "publisher": "Journal of The Electrochemical Society",
        "url": "https://doi.org/10.1149/1.2221597",
        "type": "Research article",
        "scope": "Porous-electrode transport and insertion-cell modeling; foundational work rather than a specification for a particular commercial cell.",
        "year": 1993,
        "authors": [
          "Marc Doyle",
          "Thomas F. Fuller",
          "John Newman"
        ],
        "accessed": "2026-10-27"
      }
    }
  ]
}
